AI Governance Policy
A versioned policy draft defining accountable ownership, risk-based approvals, information controls and evidence requirements across the AI lifecycle.
37 min readExplore the thinking
Enterprise AI Transformation Operating Model
A sample operating model that connects enterprise priorities to delivery, adoption, measurement and ongoing improvement.
Illustrative sample designframework · 6 min exploration
Illustrative sample content. Source material and role attribution are pending; this is not a claim of delivery or measured results.
- Problem
- A promising AI prototype can stall when business ownership, operational support and adoption are designed too late.
- Approach
- Treat strategy, delivery, controls and adoption as connected responsibilities throughout the lifecycle.
- Outcome
- Intended outcome: A repeatable route from a valuable opportunity to a useful, owned and measurable operating practice. No measured results supplied.
- My role
- Attribution pending. Personal, leadership and collaborative contributions will be specified when the source artifact is supplied.
THE DESIGN IN DETAIL
How it works.
From opportunity to operating practice
Select a stage to inspect the work, evidence and accountability that carry an initiative forward.
Loading the interactive design…
Go deeper into the assumptions, decisions and controls.
Context
Illustrative design only. This sample is not a record of a deployed system, a completed engagement, or measured results.
Problem
Shipping a prototype does not establish an operating practice. Ownership, user behavior, support and measurement determine whether a solution becomes useful.
Design principles
- Start with the workflow and business decision.
- Design adoption and controls alongside the solution.
- Use evidence to decide whether to scale, revise or stop.
Operating model
The sample lifecycle connects discovery, design and validation to build, deployment and measurement. Governance and improvement close the loop.
Key decisions
Prioritization should make value assumptions, readiness and dependencies explicit. Delivery ownership and operational ownership may be different responsibilities.
Governance & ownership
An initiative needs a business owner, delivery owner and a defined review forum. These are candidate responsibilities rather than claims about an existing organization.
Implementation considerations
A future source artifact can add decision rights, portfolio review cadence, adoption plans and service handover criteria. Exact practices are pending.
Business impact
The intended result is sustained use tied to business priorities. No adoption rate, cost reduction or transformation outcome has been supplied.