The control layer between employees and AI.
GovernAI helps enterprises inspect requests, classify data sensitivity, enforce internal policies, and route prompts to the right AI environment — external, sovereign, local, or blocked.
AI adoption is already happening. Control is not.
Employees already use AI across contracts, financial models, customer data, internal strategy, coding agents, APIs, and SaaS tools. Most companies still lack a real-time policy layer across all of these environments.
Sources: Microsoft Work Trend Index 2024; Cyberhaven 2026; McKinsey State of AI 2025.
Inspect. Classify. Enforce. Route.
GovernAI sits between employees and AI tools. It inspects each request, identifies sensitive content, applies company policy, and decides whether the request can go to an external model, a sovereign environment, a local model, or should be blocked.
Inspect
Parse prompts, uploaded text, and metadata before the request reaches a model.
Classify
Identify sensitivity levels such as standard, restricted, sensitive, or blocked.
Enforce
Apply role-based and team-based policies across legal, finance, HR, support, and engineering.
Route
Send requests to the right environment: external, sovereign, local, or nowhere at all.
Not another AI assistant. A policy and routing layer.
Tools like Copilot can secure their own environment. Enterprises still need a neutral control layer across AI usage: Microsoft, APIs, coding agents, SaaS tools, local models, and sovereign infrastructure.
| Question | Single AI environment | GovernAI |
|---|---|---|
| Can I govern AI across multiple tools and models? | No — usually limited to one ecosystem. | Yes — one policy layer across approved environments. |
| Can I route sensitive requests differently by role or team? | Limited. | Yes — policies can vary by role, team, and content type. |
| Can I block secrets, credentials, or unsafe destinations? | Partially. | Yes — GovernAI can block before the request leaves the user. |
| Can I create one audit trail across AI usage? | Mostly tool-specific logs. | Yes — unified auditability across environments. |
Built for high-sensitivity teams first.
We are starting with finance, M&A, and private equity teams, where AI is already used on confidential deal materials, financial models, investment memos, and due diligence workflows.
Deal documents
Keep CIMs, NDAs, process letters, and Q&A materials in approved environments.
Valuation models
Protect forecasts, KPIs, valuation outputs, and non-public financial information across AI workflows.
Investment workflows
Control AI usage across investment memos, due diligence notes, IC materials, and portfolio data.
Request a demo
If you work in finance, M&A, private equity, or another high-sensitivity deal environment, we’d love to hear from you.