What an AI Assessment Should Deliver to Your Business

An AI assessment should leave your business with a decision it can act on. Ask for a ranked shortlist, the data and permissions each task needs, the tradeoffs behind a recommendation and a plan for testing it.

Check the five pieces of the handover

1. Current work: how the team completes the task today, what it costs to review and where errors surface.
2. Candidate shortlist: the expected benefit, readiness and reason to pursue or defer each use case.
3. Data and access map: who owns the inputs, which account can access them and what stays outside the test.
4. Decision and cost assumptions: the preferred delivery route, viable alternatives, likely licenses and usage, and assumptions you still need to confirm.
5. Pilot plan: the test set, reviewer, target, fallback and go/no-go decision.

Check what the recommendation depends on

For example, an assessment may find that staff can draft answers from internal policies after two prerequisites: someone owns each policy and the test account can see only the approved folder. The recommendation should describe how to check both before rollout. If a key assumption turns out to be wrong, the assessment should tell you which decision to revisit.

Review the handover with the people who will run it

Give the shortlist to the business owner, the access map to the system owner and the pilot criteria to the people who will review outputs. Ask each to confirm what they can approve and which questions are still open. Agree what documents you retain even if someone else builds the pilot. A decision record is useful long after a product name or price changes.

Use the shortlist template to prepare the assessment, and the delivery route guide to understand the options it should compare.

Ask us to scope an assessment around a specific decision your team needs to make. Explore NetSys AI consulting.