How Leidos Made AI Governance the Foundation for AI Innovation

Leidos case study with Trustible AI governance platform

Leidos builds and deploys AI systems that operate in some of the most regulated, mission‑critical environments in the world. As its AI portfolio expanded across defense, intelligence, civil, and health programs, the company faced a familiar problem: governance processes designed for smaller portfolios were slowing real deployment. Reviews took weeks. Documentation lived in silos. And enterprise‑wide visibility into how AI was actually being used was hard to maintain.

Rather than accept governance as a permanent brake on innovation, Leidos partnered with Trustible to prove a different model: AI governance that creates clarity, compresses timelines, and helps teams move faster without giving up control.

From fragmented reviews to enterprise clarity

Before Trustible, Leidos managed dozens of AI use cases across business units, each with its own documentation practices and review cadence. That fragmentation created duplicate documentation and made it difficult for central governance teams to see risk patterns or scale consistent controls. As Leidos’ AI strategy matured, the need for a single system of record to understand enterprise AI deployments became critical.

Trustible provided that foundation. Using Trustible’s AI Inventory, Intake Workflows and Risk Intelligence, combined with Leidos’ leading governance tradecraft, Leidos established a centralized view of AI use cases across the enterprise. Governance teams could finally see what AI existed, where it was deployed, and how risk decisions were being made without chasing spreadsheets or email threads.

A partnership built for the hard problems

Trustible’s team brought hands-on governance expertise to help Leidos translate years of internal AI practices into a scalable, auditable operating model. Together, the two teams pressure-tested workflows, refined risk taxonomies, and aligned governance processes with how Leidos actually builds and deploys AI. “When you approach AI governance with scale as the foundational design principle, the work begins to look a lot different. Trustible helped us translate our vision for a practice befitting our company’s 47,000 people into a practical set of tools and techniques,” said Geoff. The result was a platform configuration that reflected Leidos’ real-world priorities.

Compressing governance timelines without lowering the bar

The most immediate impact came from speed. During the implementation period, Leidos used Trustible to reduce initial AI governance intake from weeks to hours—and in some cases minutes—depending on system complexity and risk profile.

That acceleration wasn’t about skipping steps. Trustible’s Risk Management and Insights Taxonomies automated risk tiering, surfaced relevant mitigations, and routed reviews to the right stakeholders based on impact. Low‑risk use cases moved quickly. Higher‑risk systems received deeper reviews from a senior AI Governance Board, with clear audit trails documenting every decision.

Built for what comes next

For Leidos, governance isn’t just about today’s models. The company is preparing for an era of more autonomous and agentic AI, where manual, after‑the‑fact reviews simply won’t scale. Trustible’s platform gave Leidos a way to embed governance directly into agentic workflows, with Policy Management and AI Frameworks translating requirements from across the Federal and global regulatory landscape into living controls that evolve as regulations change.

Governance as a force multiplier

Today, Trustible supports Leidos’ enterprise AI governance with enhanced structure and automation. AI technology teams collaborate with risk, legal, privacy, and mission teams operate from the same source of truth. Reviews move faster. And leaders have the confidence to approve AI systems that deliver real‑world impact.

For Leidos, the takeaway is clear. When governance provides clarity instead of friction, it becomes a force multiplier for innovation, not an obstacle.

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