Company AI usage governance — automated policies, training, and monitoring

Company AI usage governance — automated policies, training, and monitoring targets a $12.0B = 4.0M businesses × $3.0K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% YoY — industry analysts and Gartner estimates show rapid growth in AI governance, model ops, and enterprise AI controls.

Key trends driving demand: Rapid LLM adoption — more teams use ChatGPT and API-based LLMs for daily workflows, creating ad-hoc risks and demand for governance.; Procurement and vendor risk requirements — larger customers now require suppliers to demonstrate AI use policies, driving demand downstream.; Regulatory momentum — draft AI regulations and sector-specific guidance increase compliance needs and the value of auditable policies.; Shift to API-first tooling — standardized APIs and cloud services make integrations (Slack, Git, Gmail) straightforward, enabling quicker productization.; Privacy-first tooling — companies want in-house controls and detection before buying expensive enterprise governance suites..