How ATS Works With You on AI Governance

AI governance processes explicitly follow existing operational procedures such as formal change management processes and established incident response protocols, ensuring alignment with internal service management practices.

1. Discovery and Baseline Mapping

We conduct short-form sessions to establish:

  • Where AI is being used (intentionally or not)
  • What frameworks apply to your sector
  • Where sensitive data intersects with AI processes
  • Who currently approves or bypasses controls

2. Documentation and Control Review

We inventory and assess:

  • Existing policies, acceptable use standards, vendor approvals
  • Identity and access management procedures
  • Any technical or administrative guardrails already in place

3. Governance Buildout

We develop:

  • Clear governance documentation with relevant controls
  • Supporting artifacts (risk registers, approval logs, control matrices)
  • A structure that works within your tech stack and compliance model

4. Rollout and Handoff

You receive:

  • Finalized governance documentation
  • Internal training assets
  • Optional recorded briefings for board or leadership audiences
  • Continued support for refinement or expansion

Get in Front of the Question Before It’s Asked

You won’t always get advance notice when governance becomes a requirement. Audits, proposals, renewals—they often arrive without lead time. The good news? You can be prepared.

ATS helps you define how AI is used, monitored, and controlled—on your terms. Before anyone else defines it for you.

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