Teams that catch defects early spend less on rework, move faster through audits, and protect the margins that fund their next program. A big part of how they get there is managing cost of poor quality (COPQ), which can consume five to 35 percent of revenue in manufacturing companies and often goes untracked until an audit or recall forces it into the open.

This guide covers what COPQ is, how to calculate it, where the biggest costs accumulate, and how to shift spending from failure correction to prevention.

What Is the Cost of Poor Quality (COPQ)?

Cost of poor quality (COPQ) is the total cost a team pays when something goes wrong, from internal scrap and rework to external recalls and warranty claims. In quality engineering, it covers everything that would disappear if there were no deficiencies, no errors, and no failures.

Most quality programs treat COPQ as a subset of total cost of quality (COQ). Here is how the breakdown works:

• Cost of good quality (COGQ): Prevention costs + appraisal costs.
• Cost of poor quality (COPQ): Internal failure costs + external failure costs.
• Total cost of quality (COQ): COGQ + COPQ.

That breakdown is useful because it separates what you spend on purpose (prevention and appraisal) from what you lose when things go wrong (internal and external failures).
COPQ typically falls [between five to 35 percent of sales revenue in manufacturing companies. In companies without well-developed quality programs, failure costs have historically consumed 60 to 70 percent of total quality costs, while prevention received just five to 10 percent.

The Four Categories of Quality Costs

So if failure costs are consuming that much revenue, where exactly is it going? The Prevention-Appraisal-Failure (PAF model) divides quality costs into four categories. Two represent investments (prevention and appraisal) and two represent losses (internal and external failures).

Prevention Costs

Prevention includes requirements engineering, design failure mode and effects analysis (FMEA), risk management per ISO 14971, supplier qualification, and quality planning. Every dollar spent here tends to save multiples downstream because it stops defects from entering the system in the first place.

Appraisal Costs

Appraisal is what teams spend to detect defects that already exist. Incoming inspection, integration testing, independent verification and validation (IV&V), calibration, and third-party certification audits all fit here.

Internal Failure Costs

This is where a defect is found before release, but the team still pays for it. Scrap, rework, failed test reruns, nonconforming product disposition, and Material Review Board processing all belong here.

External Failure Costs

External failure costs hit when a defect reaches the field, the customer, or the regulator. In 2025, NHTSA issued 997 recalls affecting more than 29 million vehicles, and large-scale program failures in aerospace and automotive have accumulated costs in the tens of billions when quality gaps went undetected through multiple development phases.

In regulated products, the stakes are even higher. FDA Class I recalls can cost millions in direct expenses before accounting for reputational damage and regulatory scrutiny.

How to Calculate COPQ

Calculating COPQ is straightforward once you know where to look. The tricky part is capturing the costs that don’t show up in your budget as line items.

The COPQ Formula

COPQ = Internal Failure Costs + External Failure Costs

The broader COQ formula adds prevention and appraisal:

COQ = (Prevention + Appraisal) + (Internal Failure + External Failure)

A common executive KPI is COPQ as a percentage of revenue: (Internal Failure Costs + External Failure Costs) ÷ Sales Revenue × 100.

For example, say a medical device team ships 10,000 units in a quarter. Internal failures, including scrap and rework on rejected assemblies, cost $150,000. External failures, covering warranty claims and one field corrective action, cost $800,000. Total COPQ is $950,000. Against $5M in quarterly revenue, that is 19% of sales going to failure costs, well within the range where most of the quality budget is being consumed by reaction rather than prevention.

Visible vs. Hidden Quality Costs

The costs you can see (scrap, warranty claims, rework labor) are only part of the picture. Hidden costs like engineering time lost to firefighting, delayed launches, and lost customer trust often run 4-5x higher. A $50,000 warranty charge can easily become $250,000 once you factor in the root cause investigation, the three-week launch delay, and the customer trust lost on the next renewal cycle.

Common Metrics and Benchmarks

The most useful metrics are the ones that show where failure costs are piling up. For internal failures, track scrap rate, first pass yield, rework hours, and defects per unit. For external failures, track warranty cost per unit, customer return rate, and recall costs. The COQ ratio also helps you see whether your quality program is weighted toward prevention or toward failure response.

Root Causes of COPQ

In complex, regulated product development, COPQ usually does not start on the shop floor or in the field. It starts earlier, when unclear requirements, weak verification, and broken traceability let defects travel downstream.

Incomplete or Ambiguous Requirements

Roughly half of all software defects originate in the requirements phase, and the majority of rework costs trace back to requirement errors, whether missing, wrong, or unnecessary. Regulatory bodies like the FAA stress the need for clear, complete requirements in software and computing system development. If the requirement is wrong, incomplete, or vague, every downstream artifact inherits that weakness.

Insufficient Testing and Verification

Defect correction costs rise sharply the later they are found, and the increase is far from linear. Correcting a defect during design costs roughly 3-8x more than catching it during requirements, 7-16x more during build, and 29x to over 1,000x more during operations, depending on the system and industry. By the time a defect shows up in verification, you end up fixing every artifact built on top of that original requirement.

Poor Traceability Across the Development Lifecycle

Complete traceability directly decreases defect rates: teams working with traceability performed 21% faster and produced 60% more correct solutions than those without it.
When a requirement changes and test cases are not updated to match, risk inputs go stale and coverage gaps go unseen. This is especially common when the traceability chain is spread across disconnected tools, where COPQ accumulates quietly across handoffs until rework, schedule delays, or audit findings force it into the open.

How COPQ Shows Up in Different Industries

Every industry feels COPQ differently, but the pattern is worth understanding before you try to fix it.

Manufacturing and Production

Manufacturing teams see COPQ most visibly in warranty claims, scrap, and rework labor. Scrap rates and first-pass yield are typically the first metrics to watch because they give the clearest signal of where quality controls are falling short.

Medical Devices and Regulated Products

For medical device teams, the traceability needed to show that verification is complete often becomes the largest compliance cost driver, and gaps in that chain usually surface during audits or submissions instead of during development. A single FDA Class I recall can cost millions in direct expenses before accounting for the reputational damage and regulatory scrutiny that follows.

Software and Complex Systems Development

Software teams feel COPQ through defect fixes, delayed releases, outage recovery, and the operational disruption that follows. Teams that track what percentage of sprint capacity goes to bug fixes often find that poor requirements quality is consuming 30-50% of their engineering time.

How to Reduce COPQ

Most COPQ starts upstream, so the most effective reductions come from moving effort upstream too. Here are three approaches that consistently work:

Build Quality Into Your QMS From the Start

In regulated environments, some appraisal activities are mandatory under FDA, FAA, or NHTSA oversight, but you can reduce discretionary inspection and manual recovery by improving what happens earlier in development. Organizations that embedded quality into their process saw significant improvements in both operational costs and revenue. A key part of that is Corrective and Preventive Action (CAPA): when each failure investigation feeds a systemic fix back into your prevention process, COPQ drops over time instead of recurring.

Use COPQ-Weighted Pareto Analysis to Prioritize Fixes

Two processes can have the same defect count but very different financial exposure. A Pareto analysis weighted by dollar impact is more useful than ranking by frequency alone, because a rare traceability gap that delays a submission can cost more than a frequent but low-impact defect. Going after the top three cost drivers first usually produces the fastest return.

Track COPQ Monthly and Tie It to Process Changes

Quality engineer Joseph Juran outlined a three-part approach that still holds up today: plan quality into your processes, control performance so it doesn’t degrade, and systematically reduce chronic waste. The most effective teams we’ve seen apply this by measuring COPQ monthly against prior-year costs and tying each improvement to a specific process change, so it’s clear what’s working and what needs more attention.

How Jama Connect Helps Reduce COPQ

When a requirement changes mid-program, every downstream artifact needs to reflect that change. Jama Connect flags suspect relationships when an upstream item changes, so engineers can assess the impact before gaps compound into rework. Across 40,000+ projects, teams with higher traceability scores catch defects faster and cover more verification ground, with top-quartile performers outperforming bottom-quartile counterparts by roughly 2x to 2.5x. After adopting Jama Connect, Arteris IP saw reuse increase by 100%, rework drop by 50%, review cycle time decrease by 30%, and audit prep time fall by 75%.

Jama Connect Advisor™ evaluates each requirement against INCOSE rules and EARS patterns, flagging vague terms and passive voice before they spread downstream. If roughly half of all defects trace back to requirements, catching ambiguity at authoring time is one of the most direct ways to cut COPQ at the source.

How to Turn COPQ Into a Competitive Advantage

COPQ is rarely just a scrap or warranty number. The teams that actually reduce it invest earlier, surface changes sooner, and make it easier to see what is missing before it becomes rework, delay, or recall.

For engineering and quality leaders trying to make that shift, traceability and requirements quality need to be part of daily engineering work. If your team is losing time and budget to rework driven by requirements gaps, start a free 30-day trial to see how upstream visibility reduces downstream cost.

Frequently Asked Questions About COPQ

What is the difference between cost of quality and cost of poor quality?

COQ is the total picture: what you spend to prevent and catch defects (prevention + appraisal) plus what you lose when defects get through (internal + external failures). COPQ is the loss side only. Tracking both helps you see whether your quality budget is weighted toward catching problems or preventing them.

How do you measure COPQ?

Start by tagging every quality-related cost to one of the four PAF categories. For internal failures, track scrap rate, rework hours, and first-pass yield. For external failures, track warranty cost per unit, customer returns, and recall expenses. Express COPQ as a percentage of revenue and review it monthly so you can spot trends and tie improvements to specific process changes.

What is a good COPQ benchmark for my industry?

There is no single target that works across all industries, but 5-35% of revenue is the commonly cited range for manufacturing companies. Teams with mature quality programs spend more on prevention and less on failure, which brings the overall COPQ percentage down over time. Tracking COPQ as a percentage of revenue month over month gives you a trend line to measure improvement against.

How is COPQ different in hardware versus software programs?

In hardware programs, COPQ shows up most visibly in scrap, rework labor, and warranty claims because physical materials and manufacturing time have already been committed. In software programs, the costs are less visible but equally real: defect remediation, delayed releases, outage recovery, and the engineering hours lost to debugging issues that originated in requirements. Both share the same root cause pattern where upstream problems create downstream costs.

The post What Is the Cost of Poor Quality (COPQ)? How to Calculate and Reduce COPQ appeared first on Jama Software.

This blog overviews our recent Datasheet, “Streamline Complex Product Quality Compliance, and Time-to-completion, with Jama Connect for Semiconductors” – To download the entire asset, click HERE.

Streamline Complex Product Quality, Compliance, and Time-to-completion with Jama Connect for Semiconductors

Semiconductor companies face increasing challenges in developing their next-generation products and product families. Product customization and resulting variants make it difficult for development teams to establish and maintain traceability throughout their engineering workflows, especially when design changes occur frequently. This often results in missed ship dates, cost overruns, dissatisfied customers, and, worse still, quality escapes.

Jama Connect for Semiconductors is a custom-built, powerful, and easy-to-use solution that helps automate requirements, testing, and traceability engineering processes that are often done manually in Excel and Word. With Jama Connect for Semiconductors, you will streamline requirements definition and management, bolster review and approval processes, and integrate tests so you can develop the right products with speed, quality, and data integrity – all while maintaining necessary standards compliance.

RELATED: Buyer’s Guide: How to Select the Right Requirements Management and Traceability Solution

KEY BENEFITS

• Accelerated Adoption: Templates, data models, and item types in Jama Connect are preconfigured for common Semiconductor use cases, delivered on day one.
• Single Source of Truth: A shared data repository enables Silicon Planners, Platform and Component Architects, Engineers, Testers, and others to collaborate effectively across the product life cycle, helping teams respond to change and mitigate risks.
• Visibility Leads to Accountability: Reports and indicators provide real-time status updates on program progress toward milestones.
• Reusability: Coordinate custom silicon definition through advanced reuse and sync capabilities to increase work efficiency and consistency.
• Contextual Guidance: A Procedure Guide tailored for Semiconductor provides simple process descriptions from the initial Stakeholder MRD to System-level PRDs, through validation and verification.

Jama Connect for Semiconductors is a solution designed and optimized for semiconductor companies. It includes an out-of-the-box Traceability Information Model aligned with systems engineering and semiconductor design best practices, end-to-end traceability from the high-level MRD through post-silicon validation, and a procedure guide with detailed steps for requirement capture, traceability, collaboration, verification reviews, and configuration management baselines.

Jama Connect for Semiconductors: Providing Real-Time Status of Project Requirements

Jama Connect for Semiconductors helps you stay ahead of the competition by strengthening your ability to manage requirements for developing the right products quickly, with high quality, data integrity, and compliance with necessary standards.

To learn more, visit us at jamasoftware.com/solutions/semiconductor

DOWNLOAD THIS ASSET: Streamline Complex Product Quality, Compliance, and Time-to-completion with Jama Connect for Semiconductors

The post Streamline Complex Product Quality, Compliance, and Time-to-completion with Jama Connect® for Semiconductors appeared first on Jama Software.

In this blog, we cover our recent datasheet, “Deliver Innovative Products Faster with Jama Connect for Consumer Electronics Development” – To download this asset, click HERE.

Deliver Innovative Products Faster with Jama Connect for Consumer Electronics Development

Consumer electronics markets are highly competitive, with pressure on companies to deliver new and improved products fast. Falling short of consumer and supply chain expectations relating to product features, performance, or quality can hurt company reputations with buyers and resellers in the marketplace. Failure to satisfy applicable safety and environmental regulations can lead to
product recalls and payments to consumers and government agencies.

To be successful, companies must be able to develop new or improved products quickly by efficiently managing customer, market, and regulatory requirements across product lines with multiple configurations to meet the needs of buyers and regulators around the world.

Jama Connect for Consumer Electronics Development helps companies reduce time to market in delivering innovative, quality, affordable products to avoid recalls and reengineering, and stay ahead of the competition, and meet customer expectations. It supports compliance with IEC 62368 consumer electronics and IEC 60730 home appliance global safety standards.

RELATED: AI-Assisted Engineering: Shaping the Future of Requirements Management

KEY BENEFITS

• Guided, Measurable Product Development: Jama Connect’s intelligent engineering management enables significant reduction in re-engineering and product recalls by guiding the user through the end-to-end product development, automatically detecting gaps and risks across the entire engineering data, and automatically measuring the system and process completion.
• AI Engineering Automation: Jama Connect Advisor’s™ AI will automate manual, day-to-day engineering tasks so that engineering can focus on innovation and problem-solving.
• Digital Co-development Across the Supply Chain: With Jama Connect’s native co-development and engineering collaboration features, internal development and quality teams and external subcontractors and contract manufacturers can jointly define and develop products in the same source of truth in real time.
• Apply Intelligence to Product Line Engineering: Efficiently manage requirements and tests shared by related products in libraries selectable based on the relevant configuration.
• Streamline Safety and Cybersecurity Risk Analysis, Testing, and Compliance Reporting: Simplify adherence to applicable safety and cybersecurity regulations with pre-built requirements, automated test case generation for traceability, and templates for exporting compliance reports.

RELATED: FORT Robotics Selects Jama Connect to Replace Google Sheets for Product Development

Jama Connect for Consumer Electronics Development Out-of-the-Box

Jama Software’s solution includes the following for developing integrated multidisciplinary consumer electronics products, subsystems, and software platforms:

• Product, subsystem, and software development items
• Product line engineering
• Safety, risk, and cybersecurity regulation items
• Co-development and digital thread process recommendations
• Report templates

Organizations at the forefront of consumer electronics innovation recognize Jama Connect as the tool that provides a competitive advantage in the market by enabling the acceleration of development and bringing innovative products to market faster.

To learn more about managing your consumer electronics and home appliance requirements, tests, and risks more intelligently and efficiently with Jama Connect, visit jamasoftware.com

TO DOWNLOAD THIS DATASHEET, VISIT: Deliver Innovative Products Faster with Jama Connect for Consumer Electronics Development

The post Deliver Innovative Products Faster with Jama Connect® for Consumer Electronics Development appeared first on Jama Software.

Streamline Industrial Machinery Development with Jama Connect!

In this Features in Five session, Patrick Garman, Solution Lead for Industrial Automation and Machinery at Jama Software, demonstrates how Jama Connect’s Industrial Machinery Data Model empowers teams to accelerate development and maximize project success in the industrial machinery space.

Key highlights include:

• Purpose-built support for complex machinery, from robotic assembly cells to heavy equipment.
• Centralized systems engineering with integrated safety, cybersecurity, risk management, and testing.
• Tools for improving requirements quality, identifying gaps early, and ensuring seamless traceability.

Introduction to Industrial Machinery Data Model

Hi, everyone. I’m Patrick Garman, Solution Lead for Industrial Automation and Machinery at Jama Software. Today, I’ll introduce our industrial machinery data model and why it’s so powerful for teams building sophisticated machinery. Industrial machinery includes systems like robotic assembly cells, packaging equipment, elevators, and heavy machinery. Any automated system with software, safety, or network components.

Integration of Standards and Systems Engineering

These products must comply with a wide range of standards, and our data model integrates systems engineering, safety, cybersecurity, risk management, and testing into one structure in Jama Connect.

This gives your teams a head start so you can launch products faster without reinventing processes. With predefined structures, traceability models, and workflows, Jama Connect reduces rework and recalls by exposing gaps early. Centralized traceability helps teams respond to change confidently, measure progress, and identify risks before they become problems. At the core is our traceability information model, which enforces good engineering practices, prevents invalid links, and highlights gaps automatically. Let’s see how this works and looks in the tool.

RELATED: Accelerating Innovation: Integrating Jama Connect and Jira^® for Enhanced Requirements Management in the Semiconductor Industry

Navigating the Project Explorer Tree

First, here’s the project explorer tree. You’ll notice that it’s organized by product architecture as well as domain. This makes it easy for project members to quickly locate relevant data. And, of course, XAML is more than just a repository for requirements. We’re actively managing those requirements based on stakeholder review and feedback.

Utilizing Live Trace Explorer™ for Traceability

Next, let’s look at Live Trace Explorer. This gives a real-time view of traceability coverage across our project. We can immediately see what’s complete, what’s missing coverage, and so on.

Identifying Gaps in Coverage

This is really one of the biggest value drivers, knowing your gaps early before they turn into late-stage redesign. So let’s drill into one of these gaps right now. So I can see that I have just shy of seventeen percent coverage at the system level.

Using Trace View™ to Add Coverage

I can click that metric in the Live Trace Explorer diagram to open Trace View and find exactly where I need to add coverage. In Trace View, you can see that Jama Connect is prompting me to add coverage where required links are missing.

Creating and Managing Test Cases

And you can take action directly from this view to add that coverage, or we can open a specific requirement for a more detailed view. Here we have a system requirement with missing test coverage. I can author test cases directly in Jama Connect using the add related feature, or I can use Jama Connect Advisor™’s test case intelligence tool to generate suggested test cases, complete with test steps based on the context I provide. But of course, traceability doesn’t end with test coverage.

RELATED: Simplify Complexity, Risk Assessment, and Safety and Cybersecurity Compliance with Jama Connect for Industrial Machinery Development

Integration with Development Tools

Jama Connect integrates directly with Jira to track development tasks. Jama Connect also has turnkey integrations for the most commonly used digital engineering and productivity tools. For example, I’m able to link my subsystem requirements to model elements in Simulink, again, with one click, links to the source artifacts. Pulling data from your digital thread into Jama Connect is not about duplicating work. Each team works in the tool fit for their purpose, and that work is reflected in Jama Connect for traceability and in context reporting. For teams managing product lines or customer-specific customizations, we can create catalog or library projects for reusable requirements.

Reusability and Component Management

With reuse, we can easily pull a reusable component and its related requirements into any project, and we can also use sync comparison to see which products a part or component is being leveraged in and how it may vary from what we have in our library. And that concludes our tour of the Industrial Machinery data model in Jama Connect. If you’d like a deeper dive or to learn more about Jama Connect Advisor and our live integration capabilities, please let us know.

To view more Jama Connect Features in Five topics, visit:
Jama Connect Features in Five Video Series

The post Jama Connect® Features in Five: Industrial Machinery Development Solution appeared first on Jama Software.

Next Generation Nuclear: Reactor Innovations Shaping 2025

The nuclear energy industry is about to undergo a significant change. A new generation of reactor technologies is emerging to offer safer, more economical, and efficient solutions as the world’s power demands rise. These cutting-edge concepts will transform our understanding of nuclear power, going beyond conventional models to provide clean and adaptable energy.

The main advancements in nuclear reactor technology that are anticipated to gain traction will be examined in this post. We will examine innovative designs such as Fast Reactors, High-Temperature Gas Reactors, and Molten Salt Reactors and talk about how they could transform energy production for a sustainable future.

The Evolution of Reactor Design

For decades, traditional nuclear power plants have been reliable sources of carbon-free electricity. However, the industry has moved to developing advanced reactors that improve upon these foundational designs. These next-generation technologies focus on passive safety systems, modular construction, and enhanced efficiency. This evolution allows them to not only generate electricity but also provide industrial heat, support renewable energy grids, and even address nuclear waste.

In addition to the advancements in modular construction and passive safety systems, the development of microreactors is gaining momentum. For instance, NANO Nuclear Energy’s KRONOS Micro Modular Reactor (MMR) represents a significant leap in reactor design. This high-temperature gas-cooled microreactor is designed to deliver 15 MWe (45 MWt) and can operate autonomously during grid outages. Its use of TRISO fuel and passive helium cooling ensures safety and resilience, making it a promising solution for energy resilience in urban and military settings.

We expect to see significant progress in regulatory approvals and pilot projects for these cutting-edge designs. This progress will bring us closer to commercial demonstrations that could reshape the global energy mix.

RELATED: Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect^® for Nuclear Reactor Design & I&C Development

Innovations to Watch: MSRs, HTGRs, and Fast Reactors

Several advanced reactor types are leading the charge. Each offers unique benefits that make them suitable for different applications, from powering data centers to decarbonizing heavy industry.

Molten Salt Reactors (MSRs)

Molten Salt Reactors represent a significant departure from conventional water-cooled reactors. Instead of solid fuel rods, MSRs use nuclear fuel dissolved in a molten fluoride or chloride salt. This liquid fuel also acts as the primary coolant, operating at low pressure and high temperatures.

This design has inherent safety advantages. If the reactor overheats, a freeze plug melts, and the liquid fuel automatically drains into a secure containment tank where the reaction stops. While commercial applications are anticipated by the mid-2030s, important developmental milestones are expected in the coming year.

High-Temperature Gas Reactors (HTGRs)

High-Temperature Gas Reactors use gas, such as helium, as a coolant and operate at very high temperatures. The high temperature allows them to generate electricity with great efficiency and also makes them ideal for providing industrial process heat for applications like hydrogen production and chemical manufacturing.

The KRONOS MMR, developed by NANO Nuclear Energy, exemplifies the potential of HTGRs. This microreactor is not only designed for multi-decade use but also incorporates features like autonomous operation and resistance to cyber and physical threats. Its modular nature allows for scalability, making it suitable for diverse applications, including military installations and industrial use.

Fast Reactors

“Fast” neutrons are used in fast reactors to maintain the nuclear chain reaction. Compared to conventional reactors, this enables them to extract a notably greater amount of energy from uranium. This technology’s capacity to “breed” its own fuel and consume nuclear waste from other reactors, converting long-lived waste into a useful energy source, is one of its main advantages.

RELATED: Buyer’s Guide: How to Select the Right Requirements Management and Traceability Solution

Impact on the Future of Energy

These advanced reactor technologies promise to have a profound impact on the global energy landscape. Their key benefits extend beyond simple electricity generation.

Enhanced Safety and Cost-Effectiveness

New reactor designs incorporate passive safety systems, which safely shut down the reactor using gravity and convection without the need for external power or human intervention. This greatly improves the safety profile of nuclear energy.

These designs frequently incorporate modular construction. By producing smaller, standardized parts in a factory and drastically reducing construction schedules and costs, nuclear power can become a more affordable option, assembling them on-site.

The KRONOS MMR’s ability to operate independently of the main grid and its reliance on passive safety mechanisms highlight the strides being made in reactor safety. These features ensure that critical operations can continue uninterrupted, even in the face of external disruptions.

Integration with Renewable Energy

The operational flexibility of advanced reactors, like TerraPower’s Natrium, makes them ideal partners for renewable energy. They can ramp their power output up or down to balance the variable nature of wind and solar power, providing the grid with a consistent and reliable backbone of clean energy. This ability to integrate seamlessly with renewables is critical for building a stable, zero-carbon energy system.

Decarbonizing Industry

The high temperatures produced by reactors like HTGRs and MSRs can be used to provide process heat for heavy industries such as steel, cement, and chemical production. These sectors are historically difficult to decarbonize. By replacing fossil fuels with clean nuclear heat, advanced reactors can play a key role in helping these industries achieve climate goals.

Challenges and the Road Ahead

Advanced reactors have enormous potential, but there are obstacles in the way of their widespread deployment. Significant challenges that need to be addressed include managing early development costs, gaining public acceptance, and navigating complex regulatory environments.

But things are gathering steam as as investment in these technologies rises. For a number of innovative designs, we expect regulatory approvals to advance, opening the door for additional pilot projects and commercial demonstrations. These projects will provide essential real-world data on performance, safety, and economic viability.

As countries around the world expand their nuclear programs, the ongoing refinement of these technologies will continue. With a keen focus on digital engineering and operational efficiency, advanced reactors are poised to become a cornerstone of a clean, secure, and sustainable energy future.

Summary and Conclusion

The potential of nuclear energy is being transformed by advancements in nuclear reactor technology. The industry is moving toward safer, more adaptable, and more efficient power generation with designs like Molten Salt Reactors, High-Temperature Gas Reactors, and Fast Reactors setting the standard. Despite obstacles, these advancements will move us closer to a time when modern nuclear power and renewable energy sources coexist to meet the world’s energy demands without significant risk to the climate.

The post Next Generation Nuclear: Reactor Innovations Shaping 2025 appeared first on Jama Software.

In this blog, we preview a section of our recent Whitepaper – To read it in its entirety, visit “Empowering Complex Development with Responsible AI”

Empowering Complex Development with Responsible AI

Streamlining Efficiency and Compliance with Scalable Solutions

Product and system development is entering a new era, driven by AI innovation. Highly regulated industries like aerospace, automotive, medical devices, and financial services are facing unprecedented challenges such as escalating regulatory scrutiny in some cases, rising product complexity, and the relentless demand to accelerate time-to-market. Navigating these challenges requires a balance of innovation, compliance, and efficiency.

Artificial intelligence is beginning to demonstrate its potential in requirements management by automating manual processes, enhancing decision-making, and streamlining compliance. However, harnessing AI’s full potential requires a commitment to responsible AI practices, ensuring transparency, fairness, and security.

This whitepaper explores how AI is shaping the future of product development, offering insights into its applications, best practices for governance, and the role of Jama Software and AWS in delivering scalable, secure, and responsible AI solutions.

RELATED: Write Better Requirements with Jama Connect Advisor™

Today’s Systems Have Become More Complex

Systems of Systems (SoS)

• A System of Systems (SoS) is a collection of independent systems, integrated into a larger system that delivers unique capabilities
• It is difficult to produce accurate predictive models of all emergent behaviors, so global SoS performance is difficult to design
• Testing and verifying upgrades to a SoS is difficult and expensive (sometimes prohibitively) due to scale, complexity, and constant evolution

AI Applications in Complex Product Development

1. Challenges in Product Development

Complex product development demands businesses to manage an increasing number of variables, such as system interconnectivity, regulatory requirements, and shorter development
cycles. This intensifies the need for precise requirements management tools.

Modern systems, such as self-driving cars, embody system of systems architectures, integrating hardware, software, AI functionality, and cybersecurity. While this creates immense innovation opportunities, the complexity of these systems presents significant challenges:

• Predicting behaviors accurately
• Designing test frameworks for integration
• Scaling verification and validation processes efficiently

These challenges are amplified as the systems grow in complexity and sophistication. Accurately predicting behaviors becomes increasingly critical as interconnected components interact
in unpredictable ways, potentially leading to performance issues, safety concerns, or unintended outcomes. Addressing this requires advanced modeling and simulation techniques capable
of capturing the intricate relationships across subsystems.

Designing effective test frameworks for integration presents its own hurdles. Comprehensive testing must account for the diverse interfaces, software dependencies, and hardware configurations found in modern systems. Without a robust plan, teams risk delays, inefficiencies, and gaps in system validation that can lead to compliance failures or product recalls.

Scaling verification and validation processes to match the demands of high-complexity systems also requires significant innovation. Traditional, manual methods are often unable to keep pace,
resulting in slowed time-to-market and increased resource consumption. Automated solutions offer a scalable pathway, providing traceability, consistency, and efficiency needed to manage
these complex operations effectively.

Ultimately, organizations must balance innovation with rigorous oversight to address these challenges while ensuring safety, reliability, and compliance. Adopting tools designed for enhanced requirements management, streamlined traceability, and automated testing is paramount for achieving these goals in an evolving technological landscape.

RELATED: Buyer’s Guide: How to Select the Right Requirements Management and Traceability Solution

2. AI Solutions to the Challenges

AI-driven solutions are addressing these challenges in profound ways:

Automating Requirements Validation

• AI uses natural language processing (NLP) to verify that project requirements are complete, precise, and testable
• By identifying ambiguous requirements early, businesses reduce the risk of failures
• Automated test case generation cuts time and ensures that all requirements are tested

AI-driven solutions are fundamentally transforming the way businesses address traditional challenges in requirements management and validation. Through the use of natural language processing (NLP), AI automates the validation of project requirements by ensuring they are complete, precise, and testable. This advanced capability allows ambiguities or inconsistencies within requirements to be identified early in the development process. By addressing potential issues proactively, businesses can significantly reduce the risks associated with failures, enhancing overall project efficiency and success.

Ensuring Regulatory Compliance

• AI tools can help map requirements to stringent regulatory standards in sectors such as aerospace, defense, automotive, and medical devices
• Automated monitoring ensures continuous compliance throughout the product lifecycle, minimizing risks

Ensuring regulatory compliance is critical for organizations operating in highly regulated industries such as aerospace, defense, and medical devices. AI tools can play a pivotal role in this process by mapping requirements to stringent regulatory standards, ensuring that all necessary conditions are met without manual oversight. These tools offer automated monitoring, which enables continuous compliance throughout the product lifecycle. By reducing the likelihood of human error and streamlining the regulatory process, businesses can minimize risks and maintain adherence to evolving standards, ultimately supporting the success and longevity of their projects.

Accelerating Development Cycles

• Predictive analytics can enable immediate impact assessments of change requests, minimizing rework and speeding up delivery timelines

Predictive analytics play a crucial role in accelerating development cycles by enabling immediate impact assessments of change requests. This capability minimizes rework, allowing teams to address potential issues swiftly and efficiently. By streamlining workflows and reducing delays, organizations can significantly speed up delivery timelines, ensuring that projects are completed on schedule while maintaining high-quality standards.

Enhancing Collaboration

• Distributed teams benefit from AI-powered traceability that links requirements, tests, and design components in real time

Efficient collaboration is critical for success, especially for distributed teams. Jama Connect enhances collaboration by providing AI-powered traceability that seamlessly links requirements, tests, and design components in real time. By fostering better communication and streamlining the sharing of critical project information, Jama Connect empowers teams to work more cohesively, reducing misunderstandings and improving overall productivity.

TO READ THIS ENTIRE WHITEPAPER, VISIT: Empowering Complex Development with Responsible AI

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Mergers and Acquisitions in MedTech: Positioning Your Company for Success

The MedTech Mergers and Acquisitions (M&A) scene is more active than ever. As global healthcare needs grow and regulatory landscapes shift, strategic acquisitions are becoming a key route to innovation, growth, and market expansion. For emerging MedTech companies, understanding this environment and positioning themselves smartly within it can shape their future.

Recent activity shows that opportunity is abundant for companies that are prepared. Strategic buyers are on the lookout for innovative technologies, strong product pipelines, and solid regulatory foundations. But having a breakthrough product is not enough. Success in M&A hinges on preparation, documentation, and systems that can stand up to intense due diligence.

The Current M&A Landscape: A Shifting Landscape

The MedTech M&A scene has evolved dramatically over the past year, marked by fewer deals but significantly larger transactions. While deal volume dropped by over 40%, the average deal size surged to $636 million, driven by strategic acquisitions like Stryker’s $4.9B purchase of Inari Medical and Thermo Fisher’s $4.1B buyout of Solventum’s filtration business.

Strategic Focus: Bigger Bets, Sharper Targets

Major players like Johnson & Johnson and Medtronic continue to lead the charge, but their strategies are shifting. J&J, for example, has spent over $30B on acquisitions since 2022, including Shockwave Medical ($13.1B) and Abiomed ($16.6B). These deals weren’t just about scale as they targeted technologies that redefine standards of care, particularly in cardiovascular intervention.

Medtronic, meanwhile, is leaning into tuck-in acquisitions to transform slower-growth units into innovation hubs. With 11+ deals in the past five years, the company is focused on strategic adjacencies and long-term portfolio optimization.

Trends Driving the Market

• Portfolio Shifts: Companies are divesting non-core assets and doubling down on high-growth areas like robotics, diabetes, and structural heart technologies.
• Private Equity’s Role: PE firms are increasingly active, both as buyers and partners in divestitures, helping streamline portfolios and unlock value.
• Cultural Fit Matters: Executives emphasize that successful deals go beyond financials. Shared values and aligned visions for patient impact are now critical to integration success.

What Strategic Buyers Seek: The Acquisition Criteria That Matter

To attract the right buyer, emerging MedTech companies need to align with what strategic acquirers value most. Here is what consistently matters:

Technology Differentiation & Market Position

Buyers want technologies that offer real clinical advantages such as better outcomes, simpler procedures, or cost savings. Proprietary tech backed by strong patents is especially attractive.

The best targets complement the buyer’s existing portfolio and address unmet clinical needs. Think AI diagnostics that plug into existing imaging platforms or minimally invasive tools that expand surgical options.

Regulatory Clarity

A clear regulatory strategy is a major plus. Companies that have engaged with the FDA, gathered solid clinical data, and understand approval pathways stand out.

Detailed documentation like pre-submission notes, trial protocols, and quality systems reduces risk and speeds up integration. It also boosts valuation.

Commercial Potential

Buyers assess market size, competition, and go-to-market strategy. Companies with clinical relationships, distribution channels, or early traction are more appealing.

Technologies that target large markets with clear reimbursement paths, and show signs of physician adoption, are especially valuable.

Financial Performance and Scalability

Even early-stage companies need to show a viable business model. Efficient use of capital, clear milestones, and scalable operations build credibility.

Detailed financials like cost breakdowns, revenue forecasts, and funding needs help buyers model ROI and integration scenarios.

RELATED: Buyer’s Guide: Selecting a Requirements Management and Traceability Solution for Medical Device & Life Sciences

Getting Acquisition-Ready: Preparing for Due Diligence

Due diligence represents the most critical phase of any acquisition process. Companies that invest in comprehensive documentation and systematic organization significantly improve their chances of successful transactions and favorable valuations.

Product Documentation

Keep everything up to date: design requirements, risk files, and testing protocols. Use document control systems to manage versions and changes.

Requirements management is key. Acquirers want to see how products were developed, validated, and maintained. Full traceability from concept to release builds trust.

Risk & Quality Systems

Risk documentation such as hazard analyses, mitigation controls, and post-market surveillance plans is essential. Quality systems should be fully implemented and certified (ISO 13485 is a big plus).

Design controls should be complete and easy to navigate: planning, inputs/outputs, reviews, V&V protocols, and change logs. A well-organized design and development file makes due diligence smoother and less risky.

Testing and Validation Evidence

Strong testing documentation is essential to prove your product’s safety and performance. This includes everything from software testing protocols and biocompatibility studies to electrical safety tests and clinical evaluations.

To stand out, companies should maintain:

• Detailed test plans
• Clear procedures
• Organized results

This shows a systematic approach to validating product performance. When testing documentation is thorough and easy to navigate, acquirers can quickly assess technical risks and regulatory readiness.

Validation should not stop at product launch. Ongoing monitoring, post-market studies, and performance tracking signal a commitment to continuous improvement — something buyers value highly.

RELATED: Industry-leading Practices Modernize Legacy Public Health Software System, a Deloitte Customer Story

Intellectual Property and Regulatory Assets

Your IP and regulatory documentation are more than just paperwork — they are strategic assets. Patent portfolios, FDA submissions, and clinical data all play a key role in valuation and deal structure.

To prepare:

• Keep patent files current
• Document freedom-to-operate analyses
• Develop a clear IP strategy

On the regulatory side, maintain organized records of:

• FDA correspondence
• Clinical trial data
• Post-market surveillance reports

Well-managed documentation shows a strong compliance history and gives acquirers confidence in your ability to navigate future regulatory hurdles.

How Jama Connect^® Supports M&A Readiness

Requirements management and traceability are critical for M&A success and that’s where Jama Connect shines.

The platform helps companies maintain acquisition-ready documentation throughout the product lifecycle by:

• Connecting requirements to design decisions, tests, and regulatory submissions — giving acquirers full visibility into development processes.
• Organizing documents with version control — making it easy for due diligence teams to trace product history and compliance.
• Generating detailed reports — showcasing the maturity of your quality management system and development discipline.
• Supporting collaboration across teams and locations — ensuring documentation integrity even in distributed environments.

With Jama Connect, medical device and life sciences companies can confidently present their development story and proof of compliance, a major advantage during acquisition discussions.

RELATED: Jama Connect for Medical Device & Life Sciences Development Datasheet

Building Long-Term Value Through Strategic Preparation

The MedTech M&A landscape is evolving fast. As healthcare needs grow and technologies advance, new opportunities are emerging for companies that are ready.

Success isn’t just about having a great product. It’s about:

• Operational excellence
• Regulatory sophistication
• Systematic development processes

Investing early in documentation, requirements management, and quality systems pays off. These capabilities lead to faster development, lower regulatory risk, and better product quality.

If you’re looking to strengthen your M&A readiness, start by evaluating your documentation systems. Book a demo with Jama Software to see how structured requirements management can streamline your development and boost acquisition appeal.

Note: This article was drafted with the aid of AI. Additional content, edits for accuracy, and industry expertise by Tom Rish and Decoteau Wilkerson.

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An Inside Look at the Airborne Fire Control Radar Market: The Sky’s AI

These days, air superiority isn’t just about speed and firepower; it’s also about data and information. At the center of this data-driven battlespace is the Airborne Fire Control Radar (AFCR), a cutting-edge system that gives pilots unparalleled situational awareness. The AFCR systems on an aircraft act as its eyes and brain, enabling it to track, detect, and engage targets with remarkable accuracy from a considerable distance. They have a significant impact on the outcome of aerial engagements and the effectiveness of combat aircraft, making them vital to military aviation.

This blog will examine the ever-changing AFCR market. We’ll look at the current developments that are fueling its expansion, such as evolving geopolitical environments and technological advancements. The main participants in the industry, their difficulties, and the prospects for this crucial defense technology will also be discussed.

What is an Airborne Fire Control Radar?

Military fighters, bombers, and attack helicopters are the main aircraft equipped with the advanced sensor system known as an Airborne Fire Control Radar. An AFCR offers the high-resolution information required to direct weapons to a target, in contrast to conventional surveillance radar, which merely detects objects. It provides the aircraft’s fire control computer with the target’s range, altitude, speed, and trajectory. This enables the pilot or system to fire cannons or launch missiles with a high chance of hitting a target directly, even if the target is moving quickly or evasively.

It is impossible to exaggerate the significance of these systems. They enable a single aircraft to engage multiple threats at once, monitor large areas of airspace, and discriminate between friendly and hostile forces. To put it simply, an air force that has a better AFCR system has a clear combat advantage.

Current Drivers and Trends in the Market

A number of important factors are propelling the global AFCR market’s steady growth. The main drivers are global air force modernization and geopolitical tensions. Countries are investing in new-generation fighters with cutting-edge technology and updating their current fleets of aircraft with more sophisticated radar systems.

RELATED: Buyer’s Guide: Selecting a Requirements Management and Traceability Solution for Aerospace

Developments in Technology

The primary force behind change in the AFCR market is technology. There are two noteworthy developments:

• AESA Radar Dominance: The industry standard today is Active Electronically Scanned Array (AESA) radars. Because AESA systems can electronically steer their beams, they can track multiple targets in different directions simultaneously, unlike older mechanically scanned radars. They are essential for contemporary air forces because they are more dependable, more difficult to detect, and more resilient to electronic jamming.
• AI and Cognitive Radar: “Cognitive” radars are being produced by combining machine learning and artificial intelligence. These systems have the ability to learn from their surroundings, adjust in real time to new threats, and more accurately separate targets from clutter. By lessening the pilot’s workload and accelerating decision-making, this technology has the potential to completely transform air combat.

Increasing Need for Unmanned Systems

A new area for AFCR systems has been made possible by the widespread use of Unmanned Aerial Vehicles (UAVs), also known as drones. Sophisticated, portable radars are necessary for advanced combat drones to conduct autonomous missions and surveillance. Compact and effective AFCR solutions designed for UAVs will become more and more necessary as their use in military operations grows.

Obstacles in the Market

The AFCR sector still faces many obstacles in spite of its expansion. These difficulties may affect development schedules, expenses, and the general growth of the market.

High Costs of Development and Production

The complexity of AFCR systems necessitates years of study and billions of dollars in funding. They are costly to manufacture and maintain because they require sophisticated electronics and exotic materials. The potential market size may be constrained by these exorbitant expenses, which may act as a deterrent for smaller countries seeking to update their air forces.

RELATED: Empowering Efficiency: Parry Labs Selects Jama Connect^® for Seamless Use, Unparalleled Traceability, and Streamlined Review Cycles

Tough Regulatory Obstacles

The export of sophisticated AFCR systems is strictly regulated since it is a vital military technology. To keep sensitive technology out of the wrong hands, governments enforce stringent regulations. Market expansion may be slowed by these export restrictions and international arms control laws, which can make international trade and cooperation more difficult.

Complexity of System Integration

One of the biggest engineering challenges is integrating a new radar system into an existing aircraft. Aircraft hardware types and avionics interfaces differ from manufacturer to manufacturer, creating interoperability challenges. For the radar to function flawlessly with the aircraft’s other avionics, mission computers, and weapon systems, significant hardware and software adjustments are needed. Program upgrades take longer and cost more because of this complexity.

Prospects for the Future and New Technologies

With ongoing innovation poised to unlock new capabilities, the AFCR market appears to have a bright future.

The shift to multifunction RF systems is among the most exciting developments. Future aircraft will use a single, integrated aperture that can do all of these tasks at once, rather than having distinct systems for communications, radar, and electronic warfare. This will significantly increase an aircraft’s capabilities while decreasing its size, weight, and power consumption.

The creation of distributed and networked radar is another expanding field. This idea uses real-time radar data sharing between various platforms, including fighters, drones, and satellites, to produce a single, complete image of the battlespace. This networked strategy increases the effectiveness and survivability of all friendly assets and makes it nearly impossible for an adversary to hide.

In conclusion, a market ready for innovation

A key component of the contemporary defense sector is the market for airborne fire control radars. The need for more capable and intelligent radar systems will only increase due to technological advancements and the ongoing requirement for air superiority. Despite ongoing regulatory obstacles and exorbitant costs, the industry is progressing. The sky’s eye is growing more potent than before with the introduction of AI-driven cognitive radars, multifunction systems, and networked capabilities, giving pilots the advantage they need to manage the air.

Note: This article was drafted with the aid of AI. Additional content, edits for accuracy, and industry expertise by Mario Maldari, Cary Bryczek, and Decoteau Wilkerson.

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Tech Giants Turn to Nuclear Power for AI’s Energy Appetite

Artificial intelligence is revolutionizing industries at breakneck speed, with UBS CIO estimating global company spending $480 billion on AI infrastructure in 2026. This technological leap comes with an enormous energy cost. As AI workloads and data centers consume unprecedented amounts of electricity, tech giants are making a bold strategic pivot toward nuclear energy partnerships to meet their growing power demands while maintaining carbon-neutral commitments.

The energy requirements for training and running AI models have reached critical levels, forcing companies to seek reliable, preferably clean, power sources that can operate around the clock. Unlike solar and wind energy, nuclear power provides consistent baseline electricity that doesn’t fluctuate with weather conditions—a crucial advantage for data centers that require uninterrupted power supply.

AI’s Explosive Energy Demands Drive Infrastructure Crisis

The computational power required for artificial intelligence applications has created an energy consumption challenge that traditional power grids struggle to accommodate. Modern AI data centers consume significantly more electricity than conventional facilities, with some requiring the equivalent power of small cities to operate effectively.

Training large language models and maintaining AI inference capabilities demand continuous, high-intensity computing power. These operations cannot afford power interruptions or fluctuations that occur with renewable energy sources dependent on weather patterns. The reliability factor makes nuclear energy an attractive solution for sustained AI operations.

Data center operators face mounting pressure to expand capacity while meeting corporate sustainability goals. This dual challenge has accelerated interest in nuclear partnerships as a viable path forward for powering next-generation computing infrastructure.

RELATED: Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect^® for Nuclear Reactor Design & I&C Development

Nuclear Renaissance Through Advanced Reactor Development

The nuclear energy sector is experiencing renewed momentum through innovative reactor technologies designed specifically for modern energy demands. Small modular reactors (SMRs) and advanced nuclear systems offer enhanced safety features, reduced construction timelines, and flexible deployment options that appeal to tech companies.

Dedicated next-generation nuclear facilities can be built closer to data centers, reducing transmission losses and improving grid reliability. Advanced reactor designs incorporate passive safety systems and simplified operations that address historical concerns about nuclear energy deployment.

Nuclear developers are actively pursuing projects that can deliver power within the next decade, aligning with tech companies’ aggressive expansion timelines. This convergence of technological advancement and market demand is creating unprecedented opportunities for SMR-powered nuclear energy growth.

Strategic Partnerships Transform Energy Landscape

Amazon, Microsoft, Alphabet/Google, and Meta, which contribute most of the global spending on AI infrastructure according to UBS CIO, have emerged as leaders in forging partnerships with nuclear energy developers, recognizing that traditional renewable sources cannot fully meet their expanding cloud and AI datacenter energy requirements. These collaborations represent billions of dollars in commitments toward nuclear power development.

Amazon’s approach includes investing in SMR technology and securing long-term power purchase agreements with nuclear developers. The company’s strategy focuses on deploying nuclear power near major data center clusters to ensure reliable electricity supply for cloud computing and AI services.

Microsoft has signed a 20-year nuclear power purchase agreement with Constellation Energy that will help restart the Crane Clean Energy Center’s Three Mile Island Unit by 2028.

Alphabet/Google has announced partnerships aimed at bringing gigawatts of nuclear capacity online by 2030, emphasizing the need for carbon-free energy that operates continuously. The company’s nuclear strategy complements its existing renewable energy portfolio while addressing the specific demands of AI workloads.

Meta’s nuclear initiatives focus on securing clean energy sources that can support the company’s ambitious AI research and deployment goals. These partnerships demonstrate how social media and technology platforms are adapting their energy strategies to accommodate next-generation computing requirements.

RELATED: Buyer’s Guide: How to Select the Right Requirements Management and Traceability Solution

Nuclear Power’s Competitive Advantage for Data Centers

Nuclear energy offers unique advantages that align perfectly with data center operational requirements. The consistent power output eliminates concerns about energy storage systems and backup generation typically required with intermittent renewable sources.

Cost predictability represents another significant benefit, as nuclear fuel costs remain relatively stable compared to fossil fuel price volatility. Long-term power purchase agreements with nuclear facilities provide tech companies with budget certainty for their expanding operations.

The carbon-neutral profile of nuclear energy helps tech giants achieve environmental commitments without compromising operational reliability. This combination of sustainability and dependability positions nuclear power as an essential component of future data center strategies.

Powering Tomorrow’s Digital Infrastructure

The convergence of AI’s energy demands and nuclear power capabilities marks a transformative moment for both industries. Tech companies are demonstrating that meeting ambitious technological goals requires innovative approaches to energy procurement and infrastructure development.

These nuclear partnerships signal a fundamental shift in how major corporations approach energy planning for next-generation computing workloads. As AI continues expanding across industries, the demand for reliable, clean power will only intensify, making nuclear energy an increasingly critical component of digital infrastructure strategy.

The success of these early partnerships will influence broader industry adoption and accelerate nuclear energy development timelines. Organizations planning significant AI deployments should evaluate nuclear power options as part of their long-term energy strategies.

Note: This article was drafted with the aid of AI. Additional content, edits for accuracy, and industry expertise by Mark Levitt and Vlad Tanasescu.

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In this blog, we recap “Engineering Governance:
The Engine Behind Automotive Excellence” – Click HERE to read the entire Whitepaper.

Engineering Governance: The Engine Behind Automotive Excellence

The automotive industry is a world of constant change. Engineering governance is the invisible engine that keeps everything humming smoothly.

Innovation to support AI-powered software-defined vehicles, electric and hybrid drivetrains, and sustainability initiatives are navigating where the automotive sector is going. But while technology makes headlines, what happens behind the scenes to manage the complexity of automotive development to stay on the right course is just as critical.

What Is Engineering Governance?

Engineering governance is a system of policies, processes, and standards that guides everything from vehicle design to production. It serves as the GPS for automotive engineering teams to ensure that they are building the right vehicles in the right way, so that every decision aligns with regulatory, safety, and quality standards and the broader goals of the company.  It helps with the unification of the hardware and software siloes to not only avoid defects resulting in costly recalls and accelerate product development, but also provide an holistic operational overview of the complete engineering organization reducing risks and driving efficiency.

When designing a new hybrid, for example, engineering governance ensures that the final product adheres to emissions laws, passes stringent safety tests, and meets customer expectations. It
touches every stage of a vehicle’s lifecycle — from initial design to when it rolls off the assembly line and beyond.

AI is accelerating development of systems to enhance safety, enable convenience, and make maintenance more effective. Engineering governance will ensure that concerns about cybersecurity risks and ethical decision-making are addressed. OEMs face the significant challenge of seamlessly integrating diverse software from hundreds of suppliers. Modern premium vehicles have more than 100 million lines of software code — far exceeding the 14 million lines of code in the Boeing 787 Dreamliner. Dealing with safe-critical, non-safe, secure, open-source, and proprietary software, each with its own requirements and standards, necessitates robust engineering governance, efficient collaboration, and cutting-edge tools to ensure that the systems coexist harmoniously.

RELATED: The Impact of ISO 26262 on Automotive Development

Why Engineering Governance Matters

For automotive companies, failure to follow strong engineering governance risks expensive recalls, lawsuits, and fines, as well as harm to customer health and property, leading to significant negative brand impact. Here’s why getting it right matters so much:

1. Ensuring Compliance with Regulations: Automotive companies operate within a tightly regulated environment. Engineering governance provides a structured approach to ensure compliance with all relevant regulations across markets where vehicles are sold.
2. Managing Risks Proactively: Helps identify and mitigate risks early before they escalate. Without comprehensive safety and quality testing, defects might surface after vehicles are delivered to customers, rather than during development when fixes are much less costly.
3. Maintaining Quality Standards: A robust framework ensures that vehicles meet or exceed performance and reliability specifications without cutting corners during design, manufacturing, or testing.  It enables a comprehensive view of all aspects of vehicle safety by unifying hardware and software development siloes.
4. Driving Innovation Responsibly: Innovation without governance can spiral into impractical or unsafe ideas. Engineering governance ensures innovation is balanced with feasibility, compliance, and cost control. Companies racing ahead with autonomous vehicle technology, for example, need engineering governance to ensure that these vehicles undergo rigorous safety tests, align with evolving regulations, and deliver innovations responsibly.
5. Achieving Sustainability Goals: Sustainability has become a business imperative for automakers in response to demands from governments and consumers. Engineering governance helps automakers achieve sustainability goals by embedding eco-friendly practices into every stage of development and production.

RELATED: Buyer’s Guide: Selecting a Requirements Management and Traceability Solution for Automotive

Engineering Governance Scenarios

Here’s how engineering governance plays a role at every step in the development of any new vehicle or system:

1. Design Phase: Ensures vehicles comply with emissions standards and fuel efficiency standards in the United States, the European Union, and other regions.
2. Testing and Validation: Frameworks ensure rigorous testing of every component — from the engine to the suspension system and software. Engineers follow defined processes to simulate driving conditions to ensure safety and durability.
3. Supply Chain Oversight: Identifies system or parts suppliers whose products and processes meet quality and sustainability standards.
4. Post-Market Monitoring: Even after vehicles are sold, engineering governance mechanisms monitor performance through data collection to identify recurring issues and develop structured response plans to ensure quick fixes that reduce customer dissatisfaction.

For automotive executives, engineering governance is more than a technical concern; it’s a business strategy driving competitive advantage by ensuring that reliable, innovative, and compliant vehicles hit the market faster than the competition. It builds customer trust, bolsters investor confidence, and helps companies stay ahead of the constant changes in regulations.

How Jama Software Helps

Jama Software empowers automotive companies to excel in their engineering governance initiatives by providing a centralized platform called Jama Connect^® that ensures traceability, compliance, and collaboration across complex development projects. By facilitating real-time alignment between teams and maintaining a clear connection between regulatory requirements, development processes, and business goals, Jama Connect helps streamline decision-making and reduce risk. This enables organizations to confidently manage innovation, comply with regulatory standards, and accelerate time to market — all while maintaining high levels of quality and accountability.

To learn more about Jama Connect for Automotive, visit jamasoftware.com/solutions/automotive/

TO DOWNLOAD THE ENTIRE WHITEPAPER, VISIT:
Engineering Governance: The Engine Behind Automotive Excellence

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