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Corporate AI Planning

AI Executive Readiness Checklist

Prepare an executive AI decision with an open checklist covering the business question, workflows, evidence, tools, risk, ownership and next review.

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  • Clarify the decision
  • Work through the checklist
  • Turn gaps into preparation tasks
  • Choose the next format
  • Record the handover
AI Summit Barcelona·Published October 4, 2026·3 min read

Before commissioning an AI briefing or workshop, clarify the decision, its owner, the workflows involved, current evidence and the constraints on tools and data. Identify what participants need to understand and what output they should produce. Record unknowns instead of assigning a maturity score. Use a briefing for one information gap and a workshop when the group needs to agree priorities and next actions.

Executives do not need another list of AI trends before every decision. They need to know which question matters, what evidence is missing and who can act on the answer. Use this checklist to prepare that conversation without pretending that a score can describe the whole organisation.

Clarify the decision

Write the decision in one sentence. “Understand AI” is broad; “Decide whether to test an approved assistant for this workflow” gives the briefing or workshop a clear purpose. Name the sponsor and the people who can approve the next step.

If leaders disagree, separate disagreement about facts from disagreement about priorities or acceptable trade-offs. The first may need research or a briefing. The second may need a facilitated workshop with the right decision-makers.

Work through the checklist

Copy the table into your preparation notes. Mark each item clear, needs evidence or not applicable, then add an owner and next action. The labels organise work; they are not maturity levels.

AreaQuestion to clarifyUseful preparation
DecisionWhat decision or task should the programme support?One-sentence objective and decision owner
Business contextWhich workflow or strategic question matters?Current process, alternatives and constraints
BaselineWhat do we know about current quality, effort or failures?Evidence, estimates and missing measurements distinguished
ParticipantsWho needs to learn, contribute, decide and review?Roles, starting knowledge and availability
ToolsWhich tools and access are approved?Account availability and internal support contact
DataWhat may be shared, tested and retained?Permitted inputs and sharing decisions
ReviewWho checks outputs and handles failures?Quality criteria and accountable reviewer
ExpertiseWhat knowledge is missing from the room?The required perspective, not only a prestigious title
OutputWhat should exist after the session?Decision note, shortlist, learning evidence or experiment plan
Follow-upWho uses the output, and when is the next review?Owner, time allocation and review date
Practical scopeWhat dates, location, language and budget constraints apply?Enough context for a comparable proposal

Do not collect confidential files simply to complete the table. An initial description can identify the issue; actual sharing and retention arrangements belong in the preparation scope.

Turn gaps into preparation tasks

If the business question is unclear, the sponsor should refine it before commissioning specialist expertise. If the workflow has no owner, identify one. If employees lack access to approved tools, resolve that dependency before a practical exercise.

Some unknowns can become the work itself. A workshop can help define an evaluation or compare candidate workflows. State that intended output rather than suggesting the programme already knows which use case will succeed.

An illustrative preparation record might say: “We have several candidate tasks, but no comparable baseline. The workshop should agree which evidence to collect and who will collect it.” That is a useful scope even before choosing a pilot.

Choose the next format

  • Choose a private executive briefing when one question needs relevant expertise, context or challenge.
  • Choose an AI strategy workshop when leaders need to compare initiatives and agree priorities, owners and next actions.
  • Use the format comparison when the need is primarily practice, experimentation, outside learning or a broad audience event.
  • Use internal support first when the key barrier is a permission, account, process or resource decision already within your organisation.

These choices can form a sequence, but they do not need to become a large programme by default. Purchase the help that resolves the current question.

Record the handover

At the end of the discussion, record what was decided, what remains conditional, which ideas were deferred and who owns the next action. Set a review date. If further technical work or training is needed, give it a separate scope rather than assuming it is included in the session.

The use-case worksheet and thirty-day follow-up plan help move from preparation to a bounded investigation.

Methodology

About this checklist

Version 1, published by AISB’s editorial team on 4 October 2026. This is an original planning aid, not a validated maturity assessment, legal review or evidence of a client result. No score or certification is produced.

Start with the decision you need to clarify

Share your question and the people who need to act on the answer.

Discuss the right next step →

If this interests you

  • Enterprise AI adoption guide: distinguish alignment, skills, access and ownership barriers.
  • Programme provider checklist: prepare a clear brief.
  • AI strategy workshop: review a format for shared priorities.

Frequently asked questions

How do we know whether we are ready for an AI workshop?+

You should have a sponsor, a business question, relevant participants and a realistic output. Missing baseline data can be a task for the workshop, but missing decision authority, tool permission or follow-up ownership should be resolved explicitly.

Does this checklist produce an AI maturity score?+

No. It is an editorial preparation aid. Record what is clear, what needs evidence and who will resolve each gap. It is not a scientific assessment or certification.

What should a board AI briefing focus on?+

A specific decision or question, relevant context, alternative options, limits and the evidence needed next. The scope should identify the expertise required and preserve responsibility with the decision-makers.

Published by

  • AI Summit BarcelonaEditorial team
Back to Resources

Related reading

Guide

Enterprise AI Adoption: From Awareness to Useful Experiments

A decision guide for companies moving beyond AI awareness. Diagnose the barrier, choose the appropriate format and define the evidence needed before expanding an experiment.

Comparison

Which AI Learning Format Fits Your Business Problem?

Start with the decision or workflow you need to improve. This comparison explains what each format can produce, when to choose another approach and how to write a useful brief.

Template

AI Use-Case Discovery: Agenda and Prioritisation Template

Start from a task rather than a tool. Record the baseline, permitted inputs, expected output and owner; then use evidence and unresolved dependencies to decide what to test.

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