AI project planning and delivery
Make the next AI project decision with evidence
Use these guides to define a pilot, assess vendor evidence and plan what happens after launch. Each covers one decision, the information needed to make it and who should own the result. Start with the question holding your project up.
Practical AI project guides
Each guide includes a decision to make, specific operating checks and related reading for the next part of your process.
Track assumptions before they become AI project commitments
Turn unverified project assumptions into owned checks with evidence, decision dates and a clear impact on scope.
Read the guideAgree when an AI pilot should stop, pause or continue
Set practical pilot boundaries, stop conditions and review decisions before the team sees the results.
Read the guideEstablish a baseline before measuring AI benefits
Measure current work, quality and follow-up effort before comparing an AI pilot, with estimates clearly separated from observed results.
Read the guideDefine who can approve each part of an AI project
Assign AI project decisions to accountable business owners, with clear boundaries for scope, access, testing and changes to live operations.
Read the guideReview an AI project change before adding it to delivery
Capture proposed AI workflow changes, assess their operational effects and record what is approved before altering an agreed implementation.
Read the guideHand an AI workflow to the team that will operate it
Prepare an operational handover with named service ownership, usable instructions, access checks and a demonstrated recovery route.
Read the guideAsk an AI vendor to demonstrate evidence for your task
Prepare a vendor demonstration around expected outcomes, unfamiliar examples and destination checks before deciding what to test next.
Read the guideTurn staff feedback into useful AI adoption decisions
Plan how staff report workflow problems, how owners review them and how changes are checked during business AI adoption.
Read the guideKeep AI service maintenance owned after launch
Assign recurring checks for AI source updates, account renewals, unresolved exceptions and support ownership after launch.
Read the guideBring the decision you need to make
Tell us about the business process, current systems and project stage. We can discuss the scope, evidence and responsibilities for a next step. Keep confidential records, credentials and sensitive commercial information out of the form.