Choose an enterprise AI workshop by matching its activities and outputs to a real business need. Ask for a sample exercise, a review method and a clear scope before comparing prices. A useful proposal explains what participants will do, what they will produce and what still requires work afterwards.
Write the buying brief before requesting proposals
Start with one sentence describing the problem: for example, “Our analysts can create drafts with AI but cannot consistently check their accuracy.” That problem calls for evaluation practice. It does not automatically call for an executive strategy session or an advanced automation workshop.
Add the intended audience, current tools, access constraints and the decision the workshop should support. Give suppliers the same brief so you can compare their responses fairly. If the brief changes during discovery, record the change rather than comparing proposals that solve different problems.
Compare evidence, not adjectives
| Buying criterion | What to request | Warning sign |
|---|---|---|
| Relevance | An exercise tied to the team’s actual task | The same agenda for every audience |
| Facilitation | A named facilitator and relevant, verifiable experience | Credentials or client claims with no source |
| Practice | Participant activity and feedback method | A session consisting almost entirely of demonstrations |
| Responsibility | Data rules, review criteria and escalation approach | Instructions to bypass organizational restrictions |
| Evaluation | A task participants complete independently | Success defined only by attendance or satisfaction |
| Follow-through | Named outputs and ownership after the session | Unspecified promises of transformation |
Ask to see one complete exercise
A sample exercise should show the input, the participant’s task, the expected output and how the result is checked. If a provider cannot explain how participants would discover a wrong answer, the exercise may be testing confidence rather than capability.
For a reporting exercise, ask how the facilitator handles a summary containing an invented figure. A strong design makes participants locate the error, identify why it matters and revise their method. It should also work when the AI output is imperfect; a workshop dependent on a flawless demonstration is fragile.
Check the proposed facilitator and delivery conditions
Look for experience relevant to the audience and task. Technical depth is useful, but a specialist who can build a system may not be the right facilitator for a non-technical group. Ask how the facilitator adjusts pace, handles mixed experience and gives feedback to participants who struggle.
Confirm the named person, preparation responsibilities, participant prerequisites, required licences, delivery format and accessibility arrangements. Published author credentials are useful context but do not establish who will facilitate a particular booking. The proposal should resolve that explicitly.
Make the commercial comparison fair
Compare the full scope: discovery, customization, delivery, materials, facilitation support, travel if applicable and follow-up. A lower session price may exclude preparation or require the customer to supply substantial internal support. Conversely, a large package may include activities your team does not need.
Ask what happens if approved tool access is unavailable, if the participant mix changes or if the agreed material cannot be used. These are planning questions, not a reason to demand unnecessary complexity. Record exclusions and assumptions before deciding.
Use a decision record you can defend
List the essential criteria separately from desirable features. A proposal that fails a mandatory data or accessibility requirement should not win because it scores highly on presentation. For the remaining options, write a short reason for each assessment and identify what evidence is still missing.
A useful decision record states the selected scope, why it fits the business problem, who approved it and what will be reviewed after delivery. Avoid using a numeric score to imply more precision than the evidence supports. If no option meets the brief, revise the brief or seek clarification.
Choose the right next step
If you need help distinguishing awareness, practical capability, governance learning and discovery, compare the workshop types on AISFY’s enterprise workshop page. Use the preparation guide to turn the selected scope into a workable session. Keep this buyer’s checklist with the final proposal so the delivery can be checked against the original purpose.
Frequently asked questions
Should we choose the workshop with the most tools?
No. More tools can reduce practice time. Prefer a scope that helps participants perform and review the task they actually need.
How do we compare two very different proposals?
Give both providers the same problem, participant context and required outputs. Compare inclusions, dependencies and evidence against that common brief.