How Digital Engineering Transformation Will Shape the Future of Unmanned Systems

Digital engineering requires program-level transformation. Today's unmanned systems programs compete on fundamentally different terms than their predecessors: Speed-to-capability, adaptability over time, and integration readiness across domains have become the new battlegrounds for success.

The stakes are high and growing. In FY 2025, the Department of War (DoW) requested an estimated $10.1 billion to support the acquisition and development of uncrewed vehicles, including UAVs, representing about a $1-billion increase from previous years.

Traditional Engineering Organizations Are Struggling to Keep Up

Despite this massive investment, many defense organizations are discovering that legacy engineering approaches can't keep pace with the demands of modern unmanned systems.

A GAO report found that while the DoW plans to invest $2 trillion in weapon programs, legacy "linear" approaches are the primary bottleneck for software-heavy systems like drones, concluding that it’s “not yet well-positioned to field systems with speed." This shows a fundamental mismatch between traditional engineering workflows and the realities of modern unmanned system development.

Unfortunately, these symptoms are painfully familiar to many program managers:

• Late-requirement churn that cascades through already tight schedules
• Surprise costs that emerge during integration when subsystems that looked good separately don’t quite work right together
• Testing bottlenecks that delay deployment
• New capabilities that require extensive redesign

These aren't isolated incidents. They're the predictable results of applying sequential, document-based engineering processes to systems that are fundamentally software defined and highly integrated and may have multiple mission demands.

Digital engineering changes the equation. According to MeriTalk, “The advantages of digital engineering include lower costs, reduced risk, better design quality, and a high level of automation, with measurable results typically provided within six months of implementation."

What Digital Engineering Transformation Requires

You don’t enable digital engineering transformation by adding new tools or creating more sophisticated models. It requires rethinking how engineering teams collaborate, make decisions, and validate their work.

At its core, this transformation depends on establishing shared digital environments across disciplines, where mechanical, electrical, software, and systems engineers work from common authoritative sources of truth with continuous synchronization. This forms the foundation for digital engineering used in decision-making. Engineers explore design alternatives, evaluate performance trade-offs, and identify integration risks using digital representations that are continuously synchronized between design, test, and operations.

Continuous sync eliminates the potentially dangerous gaps that arise in traditional programs, when design teams hand off specifications to integration teams, who then discover that the paper requirements don't fully capture the critical system behaviors.

Rigor, accountability, and mission assurance remain central. What changes is how these values are realized, through validated models and continuous integration rather than through phase gates and document reviews alone.

Shifting From Program Phases to Continuous Capability Delivery

One of the most significant shifts enabled by digital engineering is the one from rigid phase boundaries toward continuous capability delivery. Traditional programs move sequentially through design, integration, and test phases, with each phase largely complete before the next begins.

Digital-first programs break down these boundaries, enabling concurrent design, integration, and test activities that accelerate learning and reduce risk. This shift changes how programs deliver capability.

Rather than working toward milestones where an entire system must be complete and validated before fielding, digital engineering enables incremental capability releases. Each release delivers validated functionality that can be deployed, used, and learned from, creating a feedback loop that continuously improves the system and the engineering team's understanding of operational needs.

This approach matters most for unmanned systems, where autonomy and mission roles are evolving rapidly. A drone platform designed for one mission profile may need to be rapidly reconfigured for another as operational priorities shift. Software updates may be required to enhance autonomy algorithms or integrate new sensors. In this environment, the ability to release capabilities incrementally and update systems continuously is mission-critical.

The strategic advantages are clear:

• Reduced rework because problems are caught earlier
• Faster learning cycles because teams get operational feedback sooner
• Changes validated across domains more quickly

Programs that embrace this approach move faster and more confidently.

Cost Reduction Through Early Insight and Risk Retirement

Digital engineering's impact on program costs is significant and measurable. By enabling the evaluation of thousands of design concepts before a program even starts, digital engineering accelerates the discovery of defects and design flaws. That changes the economics of development.

By identifying integration risks earlier, you can often uncover flaws during the initial design phases when addressing them requires only model changes rather than hardware rework. It also helps prevent late-stage redesign by ensuring that subsystems are continuously validated against one another as they evolve, a major cause of project cost overruns.

Early insight also improves requirement stability, enabling stakeholders to see and evaluate proposed capabilities in digital form before committing to expensive hardware development. David Gorsich, Chief Scientist at the Army’s Ground Vehicle Systems Center, said, "Digital engineering is a huge opportunity to reduce costs and reduce risks for Army systems."

For unmanned systems programs operating under budget pressure and evolving capability demands, this is more than an opportunity. It's a necessity.

Enabling Agility Across the System Lifecycle

Perhaps digital engineering's most strategic contribution is enabling system agility that extends across the entire system lifecycle. Digital engineering supports:

• Rapid mission reconfiguration, enabling unmanned platforms to be quickly adapted for new roles as operational needs evolve
• Software and autonomy updates post-deployment, ensuring that systems can incorporate advancing algorithms and respond to emerging threats without always requiring hardware changes
• Platform reuse across missions and iterations, amortizing development investment across multiple applications

The digital artifacts created during development produce long-term adaptability. These enable future engineering teams to understand system behavior, evaluate the impact of modifications, and validate changes more quickly and efficiently.

Implementing Digital Engineering Transformation

The most successful programs start with mission outcomes rather than platforms, ensuring that digital engineering capabilities are aligned with what matters operationally. They prioritize integration and test workflows early, recognizing that integration is where the greatest risks and opportunities lie. This includes authoritative digital sources of truth that ensure that stakeholders work from a common set of references, rather than maintaining separate, potentially inconsistent documentation.

Perhaps most critically, successful transformation requires leadership alignment across engineering, acquisition, and operations organizations. Digital engineering breaks down traditional boundaries between these communities. Leaders must stay focused on mission outcomes rather than organizational charts.

Measuring Success Beyond Schedules and Milestones

Traditional program success metrics are essential but often fall short when measuring digital engineering maturity. While monitoring schedules, compliance, and budget performance remains vital, digital-first programs also track time-to-integration, measuring the frequency of validated design updates to assess how often systems evolve, the reduction in late-stage defects or rework across projects, and how quickly the programs can incorporate new sensors, algorithms, or mission equipment.

These metrics reveal digital engineering's role as a measurable force multiplier, beyond simply a process improvement.

Digital Engineering Transformation as a Long-Term Strategic Advantage

The defense organizations that invest in digital engineering transformation now will gain compounding returns in speed, agility, and confidence. As unmanned systems become more central to military operations and the pace of technological change accelerates, the ability to rapidly design, integrate, validate, and evolve complex systems will increasingly set leaders apart from followers.

Partnering with Sumaria provides a strategic advantage through cutting-edge unmanned systems engineering and digital solutions tailored to defense programs. Our expertise helps you reduce development time, lower costs, and improve system reliability, ensuring that your programs meet critical deadlines and security standards. We are dedicated to supporting your mission objectives with innovative technology, experienced personnel, and a focus on long-term sustainment and upgradability. Let us help you achieve operational superiority and strengthen national security through advanced engineering support. If you'd like to speak with one of our specialists, feel free to book a one-on-one call.