You close agentic AI readiness gaps by turning each one into an owned action: an outcome, one accountable owner, the evidence that will show it is done, the person who accepts that evidence, and the decision it unlocks. Put the actions in a clear order, close each one only when the outcome is evidenced, and reassess the decisions it affects. The gaps then become a route.

Start from the findings you have

The readiness review is done. There are forty findings on the list, ranging from “no named owner for the claims process” to “agent logging not defined”, and nobody is sure which to start with.

That list is valuable. It is what your organisation knows about where it stands, written down. The task now is to give it a shape that people can deliver against and a board can follow.

Give every gap five things

A finding says what is missing. An action says what will be true, who will make it true and how you will know. For each gap, record:

  1. The outcome. A specific result within a defined scope. “Named owners for the six processes in the first agent’s scope”, not “improve ownership”.
  2. One accountable owner. A person, with the contributors they need. Not a committee.
  3. The evidence. The artefact or operating record that will show the outcome exists.
  4. The validator. The person who accepts that evidence. Ideally not the owner.
  5. The decision it unlocks. Which step, process or wider rollout depends on it.

Add a target date, the dependencies that must come first, and the residual risk once it is done. That is the full record. Our Readiness Roadmap page sets out every field and how each one is used.

Put the actions in order

Not every gap matters equally, and order is what turns a list into a plan. A clear ordering:

  1. Anything blocking a critical step. An unmet essential control, a high-consequence unknown, an unowned process an agent will touch.
  2. Fixed deadlines. Regulatory, contractual or operational dates that will not move.
  3. Shared dependencies. Ownership, data and process knowledge that several later actions rely on.
  4. The weakest relevant areas. Where the assessment showed the least confidence for the work in scope.
  5. Value and wider adoption. The improvements that let you scale once the foundation holds.

Shared dependencies deserve a closer look. A current, owned view of how your processes run is the thing most later actions draw on. Our pages on enterprise process architecture, information lineage and process and IMS process discovery cover how to build it from what you already hold.

Close an action when the outcome is evidenced

An action is complete when the outcome exists across the agreed scope, the evidence is attached, the validator has accepted it, the remaining risk is recorded with an owner, and the decisions it affects have been updated.

Publishing a policy or buying a tool is a start, not proof. A policy shows intent. Evidence shows the outcome: the owners named and acting, the logs running, the limits documented and tested.

This is also what makes the plan credible to a board, an auditor or a regulator. Each closed action points to evidence, and each decision points to the actions it depended on.

Keep the plan current

Readiness changes as your organisation does. Reassess when objectives, scope, delegated authority, technology, processes or obligations change, after an incident or near miss, when performance moves outside agreed limits, or at a planned review date. Record what changed, update the evidence and revisit the decision.

Different people need different views of the same plan. Executives need decisions, owners, funding and dates. Delivery teams need workstreams, dependencies and blockers. Assurance needs obligations, controls, evidence and residual risk. One record serves all three.

Where IGX fits

We help you turn readiness findings into this kind of plan, built on the process knowledge you already hold. That means showing who owns each process, how current it is and where the evidence runs thin, so each action starts from fact and each closure can be checked.

If you have not yet worked out where to start, begin with where agentic AI will pay off first. If you have a candidate process, check it with how to tell whether a process suits an AI agent and set its limits with how to set safe autonomy, step by step.

What to do next

Take your findings list. Pick the five that block your first agent. Give each the five things above and a date. That is the first page of your route to governed autonomy, and every action you close makes the next decision easier to take.