Government & Public Sector

AI agents for public-sector work.
Built around your systems.

AI agents for government programs: persistent agents for program reporting, document review, and administrative coordination, with a person approving what leaves the system.

Review Before Send outbox with one agent-drafted email waiting for review; recipients are locked to the email the agent prepared.
Review Before Send: an agent-drafted email waits until an authorized person approves the exact version. Actual product UI, fictional data.

Public-sector operating constraints

Customer-controlled options

Optional DT engineers

01 / Useful agent work

Keep context across recurring assignments.

Agents keep their instructions, files, and history. Teams assign an ongoing responsibility, inspect progress, and review the result together.

  • Prepare a recurring program brief from approved status files
  • Organize research and comparisons against explicit criteria
  • Coordinate linked agents with separate tools and access

Illustrative applications of supported capabilities, not preconfigured mission systems or claims of deployed customer results.

Agents roster for a team workspace: five named agents, each with an owner, all showing Working status.
A team workspace where each agent has a named owner. Actual product UI with demo data.

02 / Why security says yes

Built for the review that usually stops AI projects.

Most agent projects stall at the security gate, not on capability. Decision Terrain is designed around the three questions an approver asks first: where does the data go, can we stop it, and can we prove what it did.

01

Your environment, your models

Runs on your hardware or in your own cloud account, with models inside your boundary or a provider you already use. No connection back to Decision Terrain.

Review deployment options
02

Limits and approvals that are enforced

Deny tools for one agent, a Team, or everyone. Hold outgoing email for review of the exact message, and require approval for exact API writes. Instructions guide agents; these controls enforce boundaries.

Review security and governance
03

Stop it, and see what happened

Where enabled, place a security hold from the console or from your SIEM, released only by an authorized person. Material actions are recorded before they run and forwarded to your security tools.

Request the security review materials

03 / Operating constraints

Start with the conditions around the work.

Data boundaries, authorities, identity, model access, and connectivity decide what can be useful in a public-sector environment.

01

Customer-controlled infrastructure

Your hardware or your own cloud account, including a supported air-gapped configuration.

Review deployment options
02

Model and integration choices

Connect approved internal APIs and MCP tools with explicit credentials, and bring agent work into your applications.

Explore integration options

Give evaluators the available audit evidence and capture limits. Map security-event delivery to the approved topology; customer hosting alone does not make a public-cloud route disconnected.

04 / Getting started

Connect the platform to the people who will use it.

The platform is built by people with intelligence and defense experience and contributions to Browser Use and LiteLLM. DT engineers are available for setup.

01

Your team, optional DT engineers

Build with platform documentation, or add DT engineers for setup and integration.

Engineering help

Mission and contributor experience does not imply agency sponsorship or project endorsement. Customer security and authorizing teams retain their decisions and authorities.

05 / A practical first step

Choose one responsibility to evaluate.

Bring an unclassified, non-sensitive description of the work, users, information, and constraints. We'll shape a demonstration around it.

01

Understand the platform

How agents, connected systems, shared workspaces, and reviewable deliverables fit together.

Explore the platform

Next steps

What will your team build?

Explore the platform around your systems and workflows. Your team can lead implementation, with DT engineering and support available when you need it.