Summary
Drawing on the 2026 Deltek Clarity GovCon study, this article breaks down five signals shaping how government contractors execute projects and manage risk. It spans delivery performance, tool integration, risk management, AI adoption and governance, and the gap between top performers and the rest of the market.
For project, risk, finance, and operations leaders in government contracting, industry signals show where delivery pressure is concentrating and where the biggest opportunities to strengthen project and risk management sit in 2026.
Key Takeaways
- Project delivery looks mostly steady, but disconnected tools, front-loaded risk practices, and still-maturing AI governance are where the pressure is building beneath the surface.
- Risk management is strongest at the proposal stage and thins during execution, the very phase contractors identify as most exposed.
- Top performers deliver under budget at nearly twice the market rate.
What the 2026 Clarity Study Reveals About Project and Risk Management
Government contractors are delivering under conditions that leave little room for error: compressed timelines, tighter margins, and closer scrutiny at every phase of a program. The 2026 Deltek Clarity Government Contracting Industry Study, now in its 17th year, shows an industry that is largely meeting those demands. The majority of projects are finishing on time and on budget. At the same time, the study points to a set of pressures building beneath that performance, in how firms bring their data together, time their risk management analysis, and govern the fast-growing use of AI.
Considered altogether, the project and risk management findings tell a consistent story. In today’s market, executing projects well depends on managing two demands at once: enough speed to meet commitments, and enough control to keep cost, schedule, and risk within bounds as programs grow more complex. The five signals below trace where that balance comes under the most pressure across the project management lifecycle, and what the firms performing best are doing differently.
Steady on the Surface
Government contractors ranked identifying and mitigating project risk as their top concern for the year, and the delivery numbers show why it stays top of mind. In 2025, more than half of the projects were delivered on budget and on schedule; however, 27% ran over budget and 26% ran behind schedule. In a market where a single overrun can carry consequences into the next bid via past performance history, those minority figures deserve as much attention as the majority.
In 2025, more than half of the projects were delivered on budget and on schedule; however, 27% ran over budget and 26% ran behind schedule.
The metrics firms rely on are well chosen. The most valued KPIs in 2025 were actual versus planned cost, on-time delivery, and resource utilization, reflecting the financial discipline and reliable execution the work requires. Tracking those measures, though, is not the same as acting on them in time to change an outcome. A KPI that surfaces a problem after a reporting period closes documents what happened, while the real value comes from catching the signal early enough to respond. That distinction, between measuring outcomes and actively managing them, can greatly influence project success.
The Tool Fragmentation Problem
As projects grow more complex, seeing performance clearly depends on how well a firm's data comes together, and for most organizations that remains difficult. Across the industry, 85% of firms manage a single project across two to five separate tools, and only 5% utilize a fully integrated system, with scheduling, budgeting, resource management, and risk tracking often living in different places. The practical consequences are familiar to anyone running a program: delays in decision-making, inconsistencies in reporting, and accountability gaps that are hard to close when the underlying data sits apart.
The effect is most pronounced in earned value, where 79% of firms are subject to Earned Value Management (EVM) standards, 48% by requirement and 31% as an internal best practice. EVM depends on integrated cost, schedule, and performance data to function as intended. When that data is spread across disconnected tools, EVM risks becoming a compliance deliverable rather than the early-warning mechanism it is meant to be. The same fragmentation makes forecasting harder, a challenge the study traces to specific and compounding causes: siloed and incomplete data, limited project controls, little early warning on emerging risks, and turnover among experienced project staff.
None of these obstacles are new, but the pressure to move faster is making them harder to work around. That is why integration is emerging less as a technology preference and more as an enabler of effective project and risk management. A clearer, shared view of project data gives teams a more reliable basis for the decisions they will later have to defend.
The Risk Management Paradox
The study surfaces a consistent disconnect between where risk is managed and where it most often occurs. Contractors are clear about the stakes: 38% named project execution, covering schedule, cost, and scope, as the risk domain that matters most to monitor. That is more than double the next concern, supply chain and subcontractor performance, and it sits well ahead of every other category. Execution is also where scope changes, resource constraints, and operational disruptions tend to appear.
Contractors are clear about the stakes: 38% named project execution, covering schedule, cost, and scope, as the risk domain that matters most to monitor.
Despite this, risk analysis concentrates earlier in the lifecycle. It is performed most often at the proposal phase (55%), then falls to 43% during execution, the very phase firms identified as most exposed. Only 9% of firms manage risk continuously across the full project lifecycle, and survey responses indicate that roughly a third of projects proceed without a defined risk management practice at all. Two gaps sit behind this. Some projects lack a defined risk practice altogether, and even where one exists, the discipline is strongest at the proposal stage and thins as teams shift to delivery.
The payoff for closing those gaps is measurable. Firms that carry risk management into execution are more likely to keep projects on schedule and on budget. The effect also reaches past individual programs. Because risk is still managed at the project level in many organizations rather than at the enterprise level, systemic issues that touch several programs at once can go unnoticed, and the study finds that project risks escalate to affect enterprise performance at least sometimes for three-quarters of firms. The encouraging part is that most contractors are not starting from scratch. A majority already perform disciplined risk analysis at the proposal stage, and the opportunity is to carry that same rigor into project execution, where it can do the most good.
AI Is Everywhere, Governance Isn’t
AI has shifted from an open question to an active investment. In 2026, 89% of firms intend to use AI and automation to strengthen project and risk management capabilities, directing it at use cases such as:
- Improving decision-making through scenario modeling and predictive analytics (33%)
- Enhancing project reporting and executive visibility (30%)
- Predicting project cost, margin, or schedule risk (28%)
For many firms, the work is already underway with 84% actively measuring the return on AI in project and risk management through outcomes such as decision-making cycle time and cost savings.
Adoption has arrived alongside a clear-eyed view of the risks, with 94% of project managers reporting concerns about using AI for project and risk management, led by concerns around inaccurate forecasts or risk assessments (34%), difficulty explaining or defending an AI-driven recommendation (32%), and reduced human oversight in risk decisions (31%). Rather than an argument against AI, that near-universal caution is an argument for discipline. In a regulated, audit-driven environment, pairing AI-generated insight with human judgment is what keeps a recommendation defensible.
The area to watch is AI governance maturity. Only about a quarter of firms describe their AI governance as established or advanced, while the rest are still developing it. As adoption matures, AI can help organizations operationalize risk management, sharpen forecasting, and drive more consistent outcomes. The firms that move quickly on AI while keeping governance on pace will be better positioned to both perform and defend their work than those that treat oversight as something to add later.
What Sets the Top Performers Apart
The study's scorecard offers a benchmark for how the strongest firms turn these choices into results. Top performers deliver 40% of their projects under budget, nearly double the market average of 22%. That gap in on-budget delivery is where the leading firms most clearly pull ahead. The takeaway is not about moving slower or adding oversight for its own sake. It is that top performers manage speed and control together, moving fast enough to meet their commitments while keeping cost, schedule, and risk within bounds, and they treat the two as complementary rather than competing priorities. The scorecard makes a useful mirror. Comparing your own project metrics against those listed in the scorecard is a concrete place to begin. Closing gaps tend to come less from any single lever than from coordinating cost, schedule, and risk management across the full project lifecycle.
Top performers deliver 40% of their projects under budget, nearly double the market average of 22%.
Reading the Signals Together
Each of these findings tells you something on its own. Read together, they mark the pressures defining project and risk management in 2026.
- Most projects deliver successfully, but the roughly one in four that run over budget or behind schedule are where margin and reputation are most exposed.
- Connected data increasingly separates firms that can see and steer performance from those working around fragmented tools.
- Risk management practices are strongest early in the project lifecycle and have the most room to grow during project execution, where risk is most likely to occur.
- AI adoption is nearly universal, governance is still maturing, and the firms that advance both together will be the ones able to utilize AI effectively and defensibly.
- A clear performance gap separates the top from the rest, with top performers delivering under budget at nearly twice the market rate.
How to Put This Information to Work
The defining challenge in 2026 is not simply moving faster or adding more oversight. It is finding the equilibrium between them: enough speed to deliver on time, and enough control to keep cost, schedule, and risk in balance along the way.
A few questions can help identify where your own organization has the most room to improve:
- Are your KPIs informing decisions in time to change outcomes, or mostly confirming results after the fact?
- Where is your project data fragmented? Is that fragmentation quietly limiting your visibility and control?
- Does your risk management continue through project execution, or does it taper off after the proposal and project initiation phases?
- How are you governing AI in project and risk decisions? Can you defend the outputs it produces?
Working through those questions truthfully should point to where your organization can make improvements within its project and risk management practices.
The broader theme is a familiar one, made sharper by the pace of 2026. Speed keeps projects moving; control keeps them on track and defensible. The firms that do best will be those that calibrate the two rather than trade one for the other.
For a guided walk through of the signals discussed in this blog, watch the on-demand webinar, Project Execution Under Pressure.
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Know Where You Stand
The 2026 Deltek Clarity GovCon Study provides metrics and benchmarks across multiple functional areas in the industry, giving you a clear read on how your firm’s performance compares.
