The six components of an AI target operating model
Every AI target operating model answers the same six questions. Together they describe how the business will run once AI is part of everyday work.
1. Value and priorities
The short list of business outcomes AI will deliver, each with a baseline, and the areas where you have decided not to invest. Without it, every function funds its own experiments and nobody can say what AI has returned.
2. Ownership and decision rights
A named owner for each outcome, and clear rules on who can approve, change and stop an AI system, including AI agents that act on the business's behalf. This is the component most often missing. See AI roles and responsibilities.
3. Workflows and roles
Which steps in each priority workflow AI takes on, where people stay in the loop, and how jobs, skills and incentives change. The value of AI is realised in redesigned work, not in the tool.
4. Data and technology
The data each priority depends on, the platforms it runs on and the suppliers involved. The target state names the data owners and the quality needed before a use case can move into production.
5. People and capability
The skills to build, buy or borrow, the AI literacy the wider workforce needs, and the change support that turns access to tools into adoption.
6. Governance and measurement
Controls in proportion to risk, an AI register, approval routes and a quarterly board report on results against the baseline. See the AI governance operating model.
Target operating model consulting
AIPEX designs AI target operating models with leadership teams across sectors. The work starts from evidence of where you are today, not from a template, and every component ends with a named owner, a measure and a date.
What you get:
- A current-state baseline across 30 areas from the AI Readiness Assessment (£999 + VAT)
- Agreed priorities, owners and decision rights from an Executive AI Strategy Day with your leadership team (£1,499 + VAT)
- The target design for each of the six components, and the organising model your foundations can support: centralised, hub and spoke or federated
- A 90-day plan and a 12-month AI implementation roadmap from current to target state
- A benefits scorecard and a board report, so progress is measured from the start
How long it takes: the design can be agreed in weeks. Moving to it is planned as a 90-day start within a 12-month roadmap. Where nobody on the board owns AI, a Fractional Chief AI Officer can lead the transition.
How do I start an AI operating model transformation?
Start with evidence, not a structure chart. Three steps cover most organisations.
- Check where you stand. The free AIPEX Score check takes about three minutes and shows how far your current state is from a target operating model.
- Agree what AI is for. Pick the two or three outcomes that matter most and name an owner for each.
- Design the target for those priorities first. Designing for the whole enterprise at once is how plans stall. Prove the design on a few workflows, then extend it.