S06 · Specialist module or project

AI Governance and Readiness

Generative, embedded and agentic AI uses are approved, recorded, bounded, monitored and escalated before and while they are used.

When to use this service

Buying triggers

  • Teams are adopting generative AI without a common approval or data framework.
  • Agentic workflows need explicit authority, stop conditions and human accountability.
  • The board needs visibility of AI value, risk, incidents and exceptions.

What the customer receives

Core deliverables

  • 01AI governance framework
  • 02AI use-case and approved-tool registers
  • 03Risk classification and approval records
  • 04Agent authority schedules
  • 05Monitoring, incident and board reporting design

Professional boundary

Clear scope. Clear accountability.

Model performance is not guaranteed and human accountability is never transferred to a tool.

Approved data, actions, tools, monitoring, rollback and escalation are explicitly documented.

Prices, service levels, responsibilities, dependencies and any remedies apply only when approved in an executed agreement and Order Form.

A useful first conversation

Can your organisation prove that technology risk is being governed properly?

Bring the decision, concern or recurring governance gap. We will help you establish whether Adnet is the right fit and the right place to begin.

Start a governance discussion