01Map Case States, Evidence Rules and Decision BoundariesDocument your accepted evidence, applicant journeys, exception categories, service targets and reviewer permissions. Identify which actions can be automated and which require human approval, including verification outcomes, suspected fraud handling and adverse decisions.
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02Validate Data Access and Configure Controlled ConnectionsAssess available APIs, webhooks or approved exports from your verification platform, case system and communication tools before committing to connections. Define field mappings, minimum necessary data, authentication, access controls and failure handling; do not assume biometric data or document images need to enter an AI workflow.
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03Test Happy Paths, Exceptions and Recovery BehaviourUse synthetic or appropriately authorised test records to exercise incomplete uploads, duplicate events, timeouts, reopened cases and reviewer overrides. Validate message wording, routing logic and audit records with operations, security and relevant compliance stakeholders.
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04Launch with Supervision and Measured ImprovementsBegin with a bounded workflow and monitor exception volume, queue age, repeat contacts and completion rates. Review failures and applicant feedback, require approval for material rule changes, and expand only after the workflow behaves as intended.