Choose the first project
Compare business value, data readiness and implementation risk. Decide which workflow to test first and which to defer.
Compare opportunitiesAI playbooks
Make the decisions behind a useful AI rollout.
Choose the first project, work out the economics, name the owner and plan the rollout. These playbooks help you answer one practical question at a time.
Choose a playbook
Six decisions that shape the implementation.
Work out what would make it pay
Count manual effort, human review and running costs. See how the return changes when those assumptions change.
Work through the economics Estimate the current workload →Agree who makes the decisions
Name who chooses priorities, approves access and owns delivery. Resolve the handoffs before hiring a team or buying tools.
Assign implementation ownershipGet the team using it
Choose the first users, change the workflow and agree when to expand. Measure completed work rather than training attendance.
Plan the rolloutDecide what evidence a vendor owes you
Check data access, retention, controls and open risks for the product you plan to use. Know what needs resolving before approval.
Review an AI vendorDecide whether it is ready for real work
Test permissions, approvals and failure recovery. Agree which failures block launch and who owns them.
Check release readinessMake the decision, then put it into practice. For function-specific workflow ideas, use Operations. For help checking the evidence and choosing the first implementation, see the AI Audit.
Your business will differ
Choose the first workflow with a measurable return.
An AI Audit maps the real workflow, quantifies its current cost, and identifies how AI can improve revenue, margin, capacity, speed, or quality.