Arrow AIAI pilots
How to Scope an AI Workflow Pilot Before You Build
A worked AI pilot brief: one workflow, explicit inputs and exclusions, a baseline, review ownership, and a decision rule for expanding automation.
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Take an AI pilot from brief to operating decision
Scope one workflow, test its failure boundaries, measure review and rework, then decide whether to expand, revise, or stop. Follow practical guides from the pilot brief to the operating handoff.
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How to Scope an AI Workflow Pilot Before You Build
A worked AI pilot brief: one workflow, explicit inputs and exclusions, a baseline, review ownership, and a decision rule for expanding automation.
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Scope and acceptance2 articles
Define the pilot boundary and test the behavior required before broader use.
Effort and expansion decisions2 articles
Include human review and rework in measurement, then record a concrete continue, revise, or stop decision.
Operational ownership1 article
Give the receiving team the evidence, ownership, and recovery instructions to operate the accepted workflow.
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AI Pilot Acceptance Tests: Six Cases to Run Before Launch
A worked acceptance test plan for an AI workflow pilot: normal requests, missing evidence, stale sources, access restrictions, uncertain actions, and outages.
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Measure AI Pilot Value After Review and Rework
A worked measurement method for AI pilots that includes human review, corrections, rejected drafts, manual fallback, and operating overhead.
Read the articleArrow AIAI pilotsWhen to Expand, Revise, or Stop an AI Pilot
A practical AI pilot decision record that weighs acceptance results, review effort, operational ownership, unresolved failures, and the exact next scope.
Read the articleArrow AIAI pilotsAI Workflow Handoff: What the Operating Team Needs Before Launch
An operational AI handoff checklist with ownership, source maintenance, permissions, failure queues, recovery instructions, and a worked support example.
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