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A decision session for sponsors
AI strategy workshop
An AI strategy workshop is a facilitated decision session for sponsors who need to choose where AI work should begin. predeploy brings the business question, candidate workflows and known constraints into one discussion, then records the choices and evidence needed next. This is a bounded workshop with a decision record, rather than a complete strategy engagement or a general staff training day.
Leave with a prioritised shortlist, named owners and a defined next decision for the leading opportunity.
GDS sets out ten principles for safe and responsible AI use in government, including meaningful human control. GOV.UK: AI Playbook for the UK Government ↗
NIST describes its AI risk framework as voluntary guidance for design, use and evaluation. NIST: AI Risk Management Framework ↗
New to the topic? Read the background on artificial intelligence.
A decision session for sponsors
what should the workshop decide?
Choose the next useful action and explain why it deserves attention before the alternatives.
A workshop cannot settle every question about AI across an organisation. Agree whether the session should shortlist use cases, resolve a build-or-buy question or commission an assessment. AI strategy consulting covers sustained strategy work when research and stakeholder interviews are required. The government AI Playbook provides public-sector background on responsible adoption; it is a reference, not a mandatory method for every private business.
For support beyond a single session, an AI strategy consultant can carry the decisions through to a funded next step.
Set one decision objective.
Define the workshop boundary.
Identify the decision sponsor.
A decision session for sponsors
who and what should be in the room?
Include the process owner and people who understand the data, systems and review requirements.
Ask participants to bring current task examples, known constraints and any existing performance evidence. An illustrative service business might compare an account briefing, a support handover and an internal document search. Each candidate needs someone who can explain the actual work. AI readiness consulting can investigate unresolved access and ownership afterwards. Do not treat an enthusiastic demonstration as proof that the operational inputs are available.
A decision session for sponsors
how should we compare opportunities?
Compare the work and consequences using the same questions for every candidate.
Examine the intended output, who checks it, what happens when it is wrong and the dependencies that could prevent delivery. Record observed workload separately from estimates. Avoid an invented precision score that makes unlike ideas look objectively comparable. AI assessment consulting provides a deeper comparison if the evidence cannot be resolved in the session. A useful workshop may conclude that a manual process improvement should precede any AI investment.
| Check | What to establish |
|---|---|
| 1 | Use consistent questions. |
| 2 | Distinguish evidence from estimates. |
| 3 | Keep non-AI options available. |
A decision session for sponsors
what should the workshop produce?
Create a decision record with the chosen scope, open questions and accountable owners.
The record should explain which ideas were deferred and what would justify revisiting them. For the leading candidate, name the output, reviewer, source owner and evidence required for the next decision. AI operating model consulting addresses recurring responsibilities across multiple initiatives. The workshop should identify such dependencies without claiming that a short session has already redesigned the organisation or delivered a complete governance framework.
A decision session for sponsors
what happens after the session?
Commission only the next step that the recorded evidence supports.
A defined capability uncertainty may justify AI proof of concept consultancy. An adoption barrier may need AI change management consulting. A learning gap may be resolved by targeted training instead. Agree who maintains the decision record and when the sponsor reviews progress. Preparation, facilitation and any follow-up report belong in the proposal, with timing and cost scoped to the participants and work involved.
Choose a bounded next step.
Name the review date.
Agree follow-up in the scope.
Make the decision concrete
What does the current task cost in time?
Choose a task connected to ai strategy workshop and enter its current workload. This gives you a baseline to discuss before buying training or commissioning a build.
A baseline is useful even if you decide to keep the process manual. Measure the work that matters, then compare quality and review effort as well as time.
Assess the workflow before changing it, or plan business AI training if the gap is how people use existing tools.
Your current workload
Estimate how much time the existing task takes before discussing ai strategy workshop.
16 hours per week
People × minutes × weekly tasks ÷ 60. A workload baseline from your inputs, not a prediction of AI time savings. Include review and support time when comparing a proposed workflow.
A useful AI investment leaves your team able to do the work and judge the result.
Continue with the right question
Where should you go next?
Use the overview for context, then follow the pages that match your delivery decision.
See our ai consultancy service or read the ai implementation consulting overview.
FAQ
Questions, answered
Evidence and further reading
Which sources support the guidance?
Source links support the specific background described here. The practical checklists and illustrative examples are predeploy’s guidance.
GDS sets out ten principles for safe and responsible AI use in government, including meaningful human control. GOV.UK: AI Playbook for the UK Government ↗
NIST describes its AI risk framework as voluntary guidance for design, use and evaluation. NIST: AI Risk Management Framework ↗
Background reading on the broader field of artificial intelligence. Wikipedia: artificial intelligence ↗
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