AutoKYC Migration Playbook

AutoKYC migrations are designed to be incrementally safe. Whether you are consolidating disparate KYC vendors, upgrading AML coverage, or moving manual operations into managed services, the same playbook applies:

1. Stabilise the present state. Capture how onboarding works today, catalogue high-risk jurisdictions, and inventory the sanctions and adverse media sources feeding decisions.
2. Model the target state. Decide which controls stay in-house, which sit on AutoKYC, and where managed analysts should take the wheel. Map integration points and reporting dependencies before you write a line of code.
3. Parallel-run the flows. AutoKYC allows you to shadow traffic while keeping the incumbent live. Real-time comparators surface discrepancies, so you can tune thresholds ahead of cutover.

Phase 1 – Discovery and readiness

The discovery sprint ensures migration decisions are anchored in evidence instead of assumptions.

• Risk artefact review. Upload existing AML policies, regulator correspondence, and the latest risk assessment. AutoKYC highlights deltas that need new controls or updated reporting cadences.
• Workflow inventory. Document every onboarding flow, including KYB delegation, manual escalations, and legal hold processes. This inventory drives the sequencing of API migrations and managed service onboarding.
• Data lineage mapping. Understand what systems consume verification or AML data today. AutoKYC’s webhook catalogue is configured so downstream systems continue to receive the same payloads after cutover.

Discovery exit criteria

• Reviewed and prioritised backlog of compliance requirements with measurable owners.
• Signed-off migration charter containing success metrics, dates, and scope.
• Harmonised data dictionary for applicants, legal entities, and case artefacts.

Phase 2 – Configure and integrate

With scope frozen, engineering teams and AutoKYC implementation specialists build the parallel environment.

• Rules and voting design. Translate policies into AutoKYC’s rules engine. Include voting thresholds, escalation timers, and jurisdictional overrides so compliance leadership sees how decisions are made.
• Provider orchestration. Wire primary and secondary AML sources, liveness vendors, and KYB registries. AutoKYC’s connector library handles normalisation, but your environment decides weighting.
• SDK and embed rollout. Deploy AutoKYC web and mobile SDKs with privacy-safe telemetry out of the box. Accessibility tests ensure screen reader support, colour contrast, and keyboard navigation exceed WCAG 2.2 AA.
• Managed operations onboarding (optional). If you are engaging AutoKYC analysts, they join during this phase. Playbooks, SLAs, and escalation matrices are finalised so live traffic can transition cleanly.

Configuration exit criteria

• All critical paths returning green in automated test suites with production-like data.
• Audit log retention schedules applied and validated against policy requirements.
• Internal teams trained on the case console, dashboards, and reporting exports.

Phase 3 – Parallel run

Run AutoKYC in shadow mode for a statistically significant slice of traffic.

• Dual submission strategy. Mirror applicant and entity data to both AutoKYC and the incumbent system. Compare outcomes, false positive rates, and analyst touch time.
• Operational rehearsals. Execute incident drills (provider degradation, data residency requests, regulator enquiries) to prove resiliency and understand command paths.
• Stakeholder reporting. Weekly migration reviews show adherence to milestones and highlight remediation items. AutoKYC health dashboards give leadership confidence to sign off the cutover date.

Parallel run exit criteria

• Outcome parity achieved or exceeded across core workflows, with remediation playbooks signed off.
• Observability baselines established (LCP, INP, SLA compliance, queue depth).
• Regulator notification packs approved, including sequence of change and evidence attachments.

Phase 4 – Cutover and optimisation

When signed off, traffic is gradually re-routed to AutoKYC.

• Phased percentage rollout. Start with low-risk cohorts, then expand to higher-risk segments. Use AutoKYC’s gating to roll back instantly if tolerances are breached.
• Provider resilience checks. Fail primary AML or liveness providers in staging to confirm fallback logic. AutoKYC automatically replays queued events once the provider recovers.
• Continuous improvement loop. Post-launch reviews look at conversion, analyst utilisation, suspicious activity report cycle time, and data quality. Findings feed straight into the rules backlog.

Cutover exit criteria

• 100% of production traffic running through AutoKYC with agreed residual tasks tracked.
• Managed services coverage (if engaged) hitting SLAs for turnaround and quality.
• Updated risk assessment and control attestations filed, referencing AutoKYC capabilities.

Artefacts delivered with every migration

• Migration charter, RACI, and communication plan.
• End-to-end process maps covering onboarding, ODD/EDD, sanctions screening, and escalations.
• Test suites and data fixtures to keep future changes safe.
• Regulator-ready change log, privacy impact assessment templates, and vendor due diligence reports.

Ready to plot your own migration? Book a compliance workshop and attach your current policy stack so our architects can tailor the plan. If you need hybrid coverage, ask for the Managed Services overlay to include roles, staffing ramp-up, and QA grids.