The 2026 AI operating-model checklist

Before you buy another tool

• Write the business outcome first, in one sentence, before any tool is named
• Name the team whose work the outcome changes, not the software it runs on
• Confirm the outcome is one you already measure, so return on investment (ROI) is provable later

Baseline, so the pilot can be judged

• Record today's cost, cycle time, and quality for the target workflow
• Set the threshold the pilot must clear to graduate past a trial
• Decide who reads the result and who can kill or scale the pilot

Redesign the workflow, not just the step

• Map the whole workflow, then move the AI to the slowest, most repeated step
• Remove the handoffs the tool makes redundant, do not automate them in place
• Rewrite the role, so a person reviews and decides rather than produces

Embed governance that speeds the team up

• Assign decision rights for when AI execution becomes the default
• Write the review rule as a gate the work passes, not a form it fills in
• Log what the model did, so a bad call can be traced and corrected

Buy to the spec, last

• Shortlist tools against the outcome and the workflow you just redesigned
• Run the baseline test on each, and keep the one that clears the threshold
• Re-baseline every quarter, because the model and the market both move