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Build · Operating decision guide

Build, buy or skip AI? A decision memo for the owner

Otomat editorial · Revised 4 November 2026

Test the cheapest credible alternative on the same work before funding a build. Include process change, an existing software feature and doing nothing in the comparison.

  • Start where work waits
  • Give each option the same awkward case
  • Write the rejection reason

Start where work waits

Consider a distributor whose quotes sit overnight. An assistant might draft them faster. But if quotes wait for someone with margin authority, better drafting only moves the pile. Follow a recent order from request to acceptance. Record where it waited and who could release it.

Give each option the same awkward case

Use an ordinary order, a missing price and a product substitution. Ask a staff member to complete each case under the current process, a changed approval rule, an existing tool and a proposed assistant. Record time to accepted quote, error cost, escalation and rework. If a routing change removes the queue, stop there.

A one-page option comparison
DecisionEvidence to bringWhat would change the decision
Change the processWait time before and after an approval rule changeRetain human approval for exceptions that can harm margin.
Buy what existsA frontline user runs the hard case with existing permissionsReject if export, access or maintenance costs are unknown.
Build the missing pieceDefined gap, owner, fallback and acceptance testDefer if the simpler option meets the same business need.

Write the rejection reason

For each option, record the smallest reversible test, the recurring owner and the cost to leave. A subscription with no export path may be expensive to leave; a custom system without a maintainer can be equally costly. Sign the recommendation only after pricing support, exception review and training.

Use the working tools

Blank templates are ungated. Adapt them to the workflow; inputs are not submitted.

  • Open the operating charter

Sources and limits

These are Otomat’s proposed operating methods and original decision artifacts. External references inform risk management; they do not certify this method or establish client results. Linked sources were selected for this review; their live revision dates may change.

  • NIST AI Risk Management Framework: risk management context

For anonymous documentation and proposal patterns, see delivery evidence and its boundaries.

Related decisions

  • How to evaluate an AI transformation partner
  • Model replacement and practical client ownership

Bring a workflow to the discussion

Share the business goal and constraints through the mandate process. Do not send sensitive production data in the initial brief.

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