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Hybrid SaaS + Managed 7 min read

Versioning Risk Decisioning Rules Without Slowing Launches

Promote, test, and roll back onboarding decision logic across SaaS automation and managed analysts in one governed workflow.

Rules engine promoting an onboarding policy with approvals and rollback states.
Rules engine promoting an onboarding policy with approvals and rollback states.
Nathan Cole avatar
Nathan Cole Director of Risk Solutions, AutoKYC

Nathan helps fintechs, neobanks, and PSPs translate regulatory policy into actionable onboarding and monitoring controls inside AutoKYC.

Published
Last updated
  • rules engine
  • decisioning
  • onboarding

When risk, compliance, and product teams share ownership of onboarding decisions, version control is not a luxury—it is how you keep launches on schedule without inviting regulatory surprises. AutoKYC’s rules engine was built to handle that handoff between SaaS automation and managed pods, and to do so with audit-grade evidence.

Separate drafting from promotion

Every policy change starts in a draft workspace. Risk analysts define triggers, thresholds, and escalation paths while the system keeps the live production version untouched. Drafts inherit the same jurisdictional routing and data sources, so the behaviour you test is the behaviour that ships.

When a draft is ready, AutoKYC requires at least two approvals: one from the policy owner and one from operations. Those approvals, along with rationale, become part of the immutable audit trail.

Recreate history in sandboxes before you launch

Customers replay thousands of historic cases in the sandbox to see how a new rule set would have behaved. The system highlights changes in dispositions (e.g., “auto-approve” became “manual review”) and calculates SLA impact for managed pods.

{
  "policyId": "ubo-enhanced-dd",
  "version": "2024.05.0-draft3",
  "totalCasesTested": 1284,
  "deltaAutoApprovals": -37,
  "deltaManualReviews": +34,
  "deltaEscalations": +3,
  "expectedSLAImpact": "+11m"
}

Teams can iterate until the trade-off between conversion and oversight is acceptable, then promote the version into production with a single click.

Keep SaaS automation and managed pods aligned

Hybrid customers rely on the rules engine to orchestrate work across automated checks and human review. Once a version is promoted:

  • SaaS flows pick up the latest configuration immediately.
  • Managed analysts receive the same decision tree inside their queue UI.
  • Voting thresholds, QA sampling rates, and escalation paths update automatically.

No more manually emailing new procedures or asking analysts to follow a spreadsheet.

Roll back confidently

If a change misbehaves in production, AutoKYC allows a fast rollback with audit coverage. You choose the previous version, log a reason, and the platform updates automation, analyst queues, and analytics tagging in seconds. The incident record links to this rollback so internal audit can trace what happened.

Bridge regulatory expectations with evidence

Supervisors increasingly expect firms to demonstrate “effective governance” over rules and models. AutoKYC makes that achievable:

  • Every version records the policy owner, approvers, testing dataset, and go-live timestamp.
  • Managed pods can reference the version in case notes, proving which rules governed a decision.
  • The audit log shows who paused, rolled back, or hot-fixed a rule, including the justification.

“We can now stage rule updates by market, capture approvals, and roll back without waking engineering. That’s unlocked monthly policy refreshes instead of quarterly.” — Head of Financial Crime, global PSP

Risk teams move faster when they know operations and regulators can trust the process. AutoKYC delivers that trust with versioned decisioning, shared QA, and provable governance.

Citations

  1. 1. FCA FG18/6 — fair treatment of SME customers
  2. 2. MAS Notice 626 on AML/CFT controls