Governed AI agents, approved before they run
Describe what you need in plain English. GovEngine drafts the agent as a reviewable graph, a person approves an immutable version, and every path data can take out of the system is enumerated and acknowledged first. No black box. No silent exfiltration.
AI is a black box compliance can't sign off on
Most agent platforms ask your reviewers to trust a prompt. What actually runs is assembled at run time, changes without notice, and can be talked into sending data somewhere nobody approved. For an agency or contractor under audit, that isn't a product gap — it's a disqualifier.
Data leaves without a sign-off
A model chooses a destination at run time — a channel, a recipient, an endpoint — and data leaves the system with no one having approved where it went.
Different actions on different days
The same request behaves differently over time. When an auditor asks "what did it do, and why," there's no defensible answer.
Nothing to produce in a review
Without step-level records tied to a specific reviewed version, an audit turns up only assurances — never evidence.
The agent that runs is the agent a person reviewed
GovEngine draws a hard line between the version a human approves and the version a machine executes — and guarantees they're the same one.
Frozen once you sign off
An LLM writes the agent; a person approves an immutable version. Once approved, the graph is frozen at the database level — it cannot silently change.
Destinations are never invented
Before approval, GovEngine names every point where data could leave — a channel, a recipient, a spreadsheet, an endpoint — and requires explicit human acknowledgment for each.
The same path, every time
The same input walks the same pinned graph the same way. Every step is snapshotted for audit, with secrets redacted before anything is stored or shown.
From plain English to an audited run
Four steps, one of them a deliberate human gate. Nothing runs that a reviewer hasn't seen and approved as a version.
Describe
Say what you need in plain English. The builder asks a clarifying question or two, then drafts a complete, structurally validated agent graph.
Review the Graph
The agent is a readable flow diagram, not a prompt. Reviewers see every node, every connection, and every place data leaves — and can hand-edit before approving.
Approve a Version
Approval freezes the graph as a pinned, immutable version — enforced by the database, not just the application. Nothing ever runs "latest."
It Runs, Audited
A deterministic executor walks the approved graph exactly as reviewed — once, or on a governed schedule. Each step is snapshotted with secrets redacted.
Every way data can leave, named before anything runs
This is the review your compliance team actually performs. GovEngine does the enumeration; a person does the deciding — and the approval control stays locked until every destination is acknowledged.
The approval stays locked until it's clean
GovEngine analyzes the whole graph and lists every place data could leave. If any egress exists, the approver acknowledges each destination by hand. No acknowledgment, no approval.
Information-flow tracking records where every value came from, so egress destinations are provably static or human-configured — never model-invented. That closes the class of attack where a model is talked into sending data somewhere new. At run time, any uncertain value flowing toward a sensitive destination pauses for a human. The gate fails safe: uncertain means stopped, not sent.
Everything an agent needs, inside the same governance
The capabilities that make agents useful — connectors, delegation, skills, triggers, analytics — all pass through the same review-and-approve gate. Nothing routes around it.
Chat-to-Agent
Describe the outcome; get a complete, validated graph. A structural validator guarantees it's acyclic, fully wired, and free of dangling references before a human can approve it.
Least-Privilege by Default
Drive, SharePoint, Gmail, Sheets, Slack, and generic HTTP — each with least-privilege scopes. Every outbound call passes one deny-by-default, SSRF-hardened chokepoint.
Gmail is send-only, not full mailbox
Delegation with a Hard Envelope
Agents hand off to specialist agents inside a non-bypassable envelope: shared budget, a delegation depth cap, and a cycle guard. No runaway recursion, no cost blowups.
Approve-Gated Capability Packs
Named, versioned capability packs — "how to handle a FOIA request" — pinned by version. A skill can only narrow an agent's permissions, never widen them.
Governed Schedules & Channels
Run on a governed schedule with overlap prevention, or trigger from outside via verified webhooks, Slack events, and inbound email. Every channel passes the same gate.
fail-closed auth · rate-limited · replay-protected
Evals & Dashboards
Regression-test a version against a dataset in dry-run mode with zero real-world side effects. Build redacted, workspace-scoped dashboards without code.
The boring guarantees, in writing
The controls a security reviewer looks for first — stated plainly, enforced by design.
Single Sign-On
Google and Microsoft Entra ID sign-in, plus hardened passwords. Every account is approved by an administrator before it can run anything.
Encrypted at Rest
Connector credentials encrypted at rest, bound to workspace and row, with automatic token refresh.
Fail-Closed
Budgets, rate limits, signature checks, and egress gates reject rather than overspend or leak.
Immutable Versions
Approved versions cannot be updated — enforced at the database level, not just in the application.
In Production
Live at govengine.ai behind TLS, with gated deploys and forward-only, tracked migrations.
Federal Lineage
Built by Bravent LLC — SBA 8(a), SBIR Phase III, and the team that keeps federal platforms running in production.
The version a human approves is the version a machine runs — exactly as reviewed.— Bravent LLC · SBA 8(a) · SBIR Phase III · Herndon, VA
Put an agent in front of your reviewers.
Bring a real workflow. We'll draft it as a graph, walk the egress review together, and leave you with an approved version your compliance team can stand behind.