FuseGov
FuseGov is an AI governance and cost control platform that enforces policy on every AI agent prompt and response while managing budgets and approval workflows. The platform offers observe mode for monitoring before automated enforcement, plus FuseSense cost governance that flags spend increases before they occur. It integrates with Jira to connect AI usage to specific work items and tracks capacity requests through approval decisions.
- Artificial Intelligence
- Regulatory & Compliance Technology
- Enterprise Software
- Cybersecurity
- Software Only
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
AI adoption has outpaced organizational controls, with 45% of employees now regularly using AI on corporate devices—tripled from 15% in one year—and source code being the #1 data type leaking into ungoverned AI tools. Most governance tools respond with documentation and registries, while most cost tools provide dashboards reporting on money already spent, leaving organizations without proactive, enforceable controls.
Solution
FuseGov governs what AI agents do by enforcing policy on every prompt and response, with a cryptographically sealed audit record. The platform deploys in observe mode first, watching all interactions and building trust through evidence before automating enforcement. High-risk responses are flagged and held for human review with a complete evidence package including redacted queries, agent verdicts, matched policies, and per-component risk breakdowns. Once the flag-and-review record demonstrates the system makes correct calls, organizations can enable automated enforcement with configured thresholds, backed by an audit trail proving why each rule exists. FuseSense, the cost governance component, flags spend increases to managers before they are incurred rather than after the invoice arrives.
Target Audience
Primary customers are enterprises and organizations deploying AI agents at scale that need proactive governance, audit-ready evidence, and cost control across their AI tooling.
Features
- Policy enforcement on every AI agent prompt and response with cryptographically sealed audit records
- Observe mode deployment that monitors interactions before automated enforcement is enabled
- Human review workflow for high-risk responses with complete evidence packages including redacted queries, agent verdicts, matched policies, and per-component risk breakdowns
- Automated enforcement with configurable thresholds and audit trails documenting rule rationale
- FuseSense cost governance that flags spend increases to managers before they are incurred
- Three registration methods—CI/CD, CLI, or API—capturing ownership, tool scope, and version at the source
- Agent catalog that registers agents before their next deployment
- Jira integration to explore usage by application, model, and issue, with unallocated usage visibility
- Pre-call budget check that gates spend before the call is made, with alerts at 80% of budget
- Circuit breaker that freezes runaway agent loops in seconds with automated containment
- Inline interception with sub-millisecond decisions and signed evidence on every call