The Governed Agentic AI Platform

When five people and three agents work the same document, who holds the pen?

Systems of record store what already happened. In Legion, the work itself is the shared surface. People and agents build it together, and it keeps the record of every change either one makes.

Legion Multiplayer runs a recurring staff process as one shared artifact, open to authorized participants and scoped agents at the same time. Every agent-authored change is attributed to the agent, and the steps you gate wait for an authorized reviewer. Agents can propose a classification marking. They never set one.

Multiplayer is the only shared work surface that runs on SIPR and at the disconnected edge. It also deploys on enterprise cloud and in on-premises and air-gapped environments, with Centurion by Legion Intelligence carrying it to the edge. What comes out carries its approvals, its sources, and the record of who changed what.

Who builds mission software when the mission changes weekly?

Mission Builder is how the people who own the work build the tools they need. They describe the workflow in plain language, and Legion composes a working application from governed parts: screens, workflows, data connections, and agents. Each part carries Legion's permissions, classification handling, and audit, so governance is inherited, not added afterward.

Teams start from the Pack closest to their work, shape it until it fits, and shape it again the week the requirements change. Partners and integrators build in the same environment, under the same governance, so a capability delivered by a partner is one your own team can extend without going back to them.

A new capability is scoped in hours, validated against real work in days, and in production in weeks. No new software program, no vendor release cycle. A services customer runs this way today, drafting work orders in 90 seconds that used to take hours, with 25% more technician capacity and no new hire.

When a thousand agents are working, who stays in command?

Governing what a model can see is table stakes. Legion governs the work itself: operators define objectives and constraints, agents complete the steps across systems and data, and every step runs inside policy you set. Permissions decide what an agent can see. Checkpoints decide what it can do.

Consequential actions wait for the person who holds the required authority: approve a report before release, route a maintenance task, hold a record update for review. Any action can be paused, redirected, or overridden. Every action is logged with full attribution, including those taken by agents, in an append-only record that shows who requested, approved, and changed the work. The record exports as evidence for an ATO package or an IG review.

Which model is right for the work your unit does?

A public benchmark measures someone else's tasks. The Eval Loop scores models, agents, and workflows against the work your teams actually perform, using measures your organization defines.

Evaluation runs inside your own boundary, on connected networks and air-gapped ones alike, under the requesting user's identity, with every run logged. Any measure your team can define in code becomes a metric. Every new model is re-baselined against your own work before it takes over a task, so drift is caught before it reaches operations.

What happens when a better model ships next quarter?

Model Command puts every model a deployment can reach behind one governed gateway. Teams run frontier models, open-weight models, and domain-specific models side by side, and match the model to the task. A summarization step and a targeting analysis do not need the same model, and paying frontier rates for routine work is a cost you do not need to carry.

New models are added through Model Command without code changes, so teams switch as approvals change or better models ship. Routing, quotas, and quality-of-service controls keep performance predictable, and no Legion deployment depends on a single model vendor. Access and spend follow the roles you already administer, and every call is logged and attributed.

The same gateway governs frontier cloud APIs and the CPU-class models running on Centurion at the edge.