Deployment Labs
AI Governance

Rules your team will actually follow.

AI governance fails in one of two ways: nobody writes anything down, or someone writes a policy so cautious that people route around it. We do the version that works — clear rules, a fast approval path, and training that makes the limits obvious in the moment.

The starting position

Four things that are true at almost every company we meet.

Your staff already started

People are pasting company information into AI tools right now. The only open question is whether they know where the line is — and whether you'd find out if they crossed it.

A policy nobody reads is not governance

Most AI policies are written once, filed, and never applied. If someone can't answer "can I put this in ChatGPT?" in ten seconds, the document isn't doing its job.

Blocking tools creates shadow AI

When the approved path is slower than the unapproved one, people take the unapproved one. Governance that ignores this produces less visibility, not more.

Agents broke the old policies

Rules written for chatbots don't cover tools that send messages, edit files and change records. Most policies written before this year are now materially out of date.

What we build

Governance as infrastructure, not paperwork.

01

AI usage policy

Approved tools, data classification, review requirements, disclosure rules and an escalation path — written so people can apply it, not just acknowledge it.

02

Regulatory mapping

HIPAA, GDPR, SOC 2, FINRA or FERPA obligations translated into specific rules about which tool may touch which data.

03

The approved-tools path

A front door for requesting new tools that is fast enough that people use it. Governance fails on friction more often than on rules.

04

Agent and permission guardrails

What autonomous tools may reach, what stays walled off, and who is accountable for an unattended run.

05

Role-specific training

Legal, HR, engineering and client-facing teams each need different examples. Generic awareness sessions produce awareness, not compliance.

06

A review cadence

A named owner and a schedule, so the policy tracks the tools instead of ageing quietly in a wiki.

Start free

Generate your policy in five minutes.

Ten questions, and you get a complete acceptable use policy written for your tools, your data and your regulatory position. No blanks to fill in. Plenty of companies never need anything beyond it.

Covered regimes
  • HIPAA
  • GDPR / UK GDPR
  • CCPA
  • SOC 2
  • FINRA / SEC
  • FERPA

Each one selected adds specific, written obligations to the document — not a placeholder telling you to consult someone.

Questions

About AI governance