Skip to content
AI TransformationAI governance framework

An AI governance framework your company can operate

AI governance defines who can approve an AI use, what evidence they need, and who responds when it causes a problem.

For a COO or CIO, the work starts with an inventory, decision rights, and controls that employees can follow.

A company’s framework connects policy to everyday decisions across the AI lifecycle: selecting a tool, approving data access, testing a use case, releasing it, monitoring it, and retiring it. It applies to purchased AI tools as well as systems your team builds. The controls should reflect the use’s impact on people, the sensitivity of its data, and the actions it can take.

In Symph’s AI transformation approach, Sustain covers adoption tracking, governance, and refresher sessions as models evolve. Discuss how that phase fits your existing operating reviews: who owns the AI inventory, which uses need reassessment, and what employees need to learn when tools change.

Discuss AI governance with Symph

(01)

Choose public frameworks for the job they do

  1. 01NIST AI Risk Management Framework 1.0
  2. 02ISO/IEC 42001:2023
  3. 03European Union AI Act
  4. 04Singapore Model AI Governance Framework, second edition
  5. 05A minimum use-case approval record

This guide provides operational guidance, not legal advice.

(02)

Set up governance in seven operating steps

  1. Inventory the tools and uses

  2. Assign decision rights

  3. Set policy and triage rules

  4. Review data and suppliers

  5. Evaluate before release

  6. Monitor and handle incidents

  7. Review changes and retire uses

(03)

Questions

01

Who should own AI governance in a company?

Name an executive sponsor with authority over business risk and an accountable business owner for each use. IT, security, privacy, legal, and relevant department leaders contribute to decisions within their responsibilities. Record who can approve, release, suspend, and retire a use.

02

Is an acceptable-use policy enough?

A policy needs operating processes behind it: an inventory, a new-use review, data and access checks, evaluation, human oversight, monitoring, and incident response. Employees also need training and a clear way to ask questions or report problems.

03

Does following a public AI framework guarantee compliance?

No. Voluntary frameworks and management standards can support governance, but legal obligations depend on jurisdiction, sector, the system, and your role. Qualified advisers should assess applicable requirements. This guide does not provide legal advice or certify compliance.

Discuss AI governance with Symph