FuseGov
FuseGov is an AI governance and cost control platform that enforces policy on every AI agent prompt and response while flagging spend increases before they occur. It deploys in observe mode first, building an evidence-based audit trail before automating enforcement, with high-risk interactions routed to human reviewers. The platform provides cryptographically sealed audit records suitable for external auditors.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
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