FuseGov Image  heading
AI governance & cost control platform

Governed agents.
Controlled AI cost.
Real ROI.

FuseGov governs what your AI agents do, enforcing policy on every prompt and response, with a cryptographically sealed audit record. FuseSense governs what they cost — flagging spend increases to a manager before they're incurred, not after the invoice lands.

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Fuse Gov Picture of the process

The Problem

AI adoption outran the controls. The data proves it.

Most governance tools respond to this with documentation — registries, assessments, attestations. Most cost tools respond with dashboards — reports on money already spent. FuseGov does something different on both fronts: it acts on the live interaction, and it keeps evidence you can hand to an auditor.

45%

of employees now regularly use AI on corporate devices — tripled from 15% in one year (Verizon 2026 DBIR)

#1

data type leaking into ungoverned AI tools: source code, by a wide margin (Verizon 2026 DBIR)

We don't start by blocking. We start by watching.

Block-first governance is why developers route around sanctioned tools. FuseGov deploys in observe mode, earns trust with evidence, and only automates enforcement once you've seen it make the right calls.

  • See every interaction

    The gateway sits in the call path and logs everything — prompts, responses, PII exposure, policy matches, citation quality without changing a single outcome. You get the full picture before any control is applied.

  • Route risk to humans

    High-risk responses are flagged and held for human review with a complete evidence package: the redacted query, agent verdicts, matched policies, and a per-component risk breakdown. Reviewers approve, edit, or reject every decision sealed into the log.

  • Enforce with confidence

    Once the flag-and-review record shows the system makes the right calls, you turn on automated enforcement — thresholds you configured, backed by an audit trail proving why each rule exists.

Why Choose Us?

Start with whatever fits your environment. Add the rest as you scale.

This is how fusegov works

Register an agent in minutes

Three ways to register, CI/CD, CLI, or API. Each captures ownership, tool scope, and version at the source, and lands the agent in the FuseGov catalog before its next deployment.

A pipeline step reads and registers the agent at deploy time, keeping environment and version metadata accurate without manual upkeep
A single command brings an agent under governance in under a minute
Ownership, version, and tool scope captured at the source
Policy bundle generation unlocked the moment the agent is registered
The Govern and ownership & lifecycle

Govern ownership & lifecycle

Ownership and lifecycle aren't a wiki page, they're a structured record attached to every agent. The catalog enforces it; your platform team doesn't have to chase it.

Named owner and team for every agent at registration
Versioned change history and full approval trail
Risk classification drives the policy bundle automatically

Put a hard ceiling on AI spend

Active Protection is the runtime layer of FuseGov. The catalog gives you visibility; this gives you control. Inline interception, sub-millisecond decisions, signed evidence on every call.

Cost is metered on actual prompt and completion tokens
Alerts fire at 80% of budget
Only an authorized manager can raise a limit
The enable active protection

Enable Active Protection

Active Protection is the runtime layer of FuseGov. The catalog gives you visibility; this gives you control. Inline interception, sub-millisecond decisions, signed evidence on every call.

Start with one agent. Scale to your full fleet.
Microsecond decisions, zero performance tax.
Audit-ready evidence on every call.
The enable active protection

The manager approves the increase or it doesn't happen

Pre-call budget check.

Spend is gated before the call is made not reconciled after the invoice.

Jira- slack approval.

The flag lands where managers already work; approval is one action, and it's recorded.

Circuit breaker.

A runaway agent loop is frozen in seconds, automated containment first, human review after.
Fuse gov dashboard

Ready to see the engines run?

A live walkthrough takes 30 minutes with your policies and your Jira data, if you want.