AML/KYC Orchestration on Make.com: BSA-Safe Patterns

1. Problem / Context

For fintechs, neobanks, money services businesses, and digital lenders, onboarding speed and regulatory safety often collide. Teams must execute KYC, sanctions/PEP screening, adverse media checks, and AML alert handling with limited headcount—while meeting BSA/AML expectations and FinCEN SAR reporting requirements. The risks are real: unverifiable KYC decisions that fail audit, missing SAR evidence trails, screening gaps from stale lists, and lineage breaks between alerts and the data used to resolve them. Mid-market firms (typically $50M–$300M revenue) feel this most acutely: they need enterprise-grade controls without enterprise budgets, and they often operate with lean ops and compliance teams.

Make.com is attractive because it lets small teams orchestrate complex workflows across KYC vendors, internal systems, and case management tools. But without a BSA-safe pattern—governance, human-in-the-loop (HITL), and auditability—automation can magnify compliance risk instead of reducing it.

2. Key Definitions & Concepts

• KYC (Know Your Customer): Identity verification, sanctions/PEP screening, and due diligence processes used at onboarding and periodically.
• AML (Anti–Money Laundering): Controls to detect and report suspicious activity, including alerting, investigation, and SAR filing.
• BSA/FinCEN/FATF: The Bank Secrecy Act (BSA), FinCEN’s SAR reporting rules, and FATF recommendations define expectations for monitoring, record-keeping, and reporting.
• Agentic orchestration: Coordinating multiple tasks and tools (e.g., KYC vendor APIs, sanctions list refreshes, case management) with policy-aware branching and HITL checkpoints.
• HITL checkpoints: Required human reviews—e.g., analyst review on PEP matches, dual approval for SAR filings, and logging for any manual overrides.
• System of record: The authoritative place where cases, decisions, timestamps, and evidence live (e.g., a dedicated case management system), not an ad hoc spreadsheet.

3. Why This Matters for Mid-Market Regulated Firms

• Audit pressure: Examiners expect end-to-end traceability—from intake to decision—complete with timestamps, evidence, and rationale. Mid-market firms cannot afford post-hoc reconstruction.
• Cost and talent constraints: Many teams rely on generalists. Automation must reduce manual effort without diluting controls.
• Vendor dependency: KYC vendors and lists change. Without DPAs, SLAs, and allowlists, you can’t prove screening coverage or control data flows.
• Board-level risk: A single unverifiable KYC decision or a missing SAR evidence pack can trigger findings, remediation costs, or enforcement.

A governed pattern on Make.com addresses these by embedding decision lineage, HITL, and QC sampling into the automation itself.

4. Practical Implementation Steps / Roadmap

1) Intake and normalization

• Trigger: Webhook or event from onboarding app or core banking. Capture the customer payload, assign a unique case ID, and log the event with a timestamp.
• Normalize: Standardize names, addresses, and identifiers; apply transliteration rules for international names.

2) Vendor checks and list screening

• KYC vendor: Call your primary KYC/KYB API with the case ID as a correlation key. Store raw responses (JSON, PDFs) in secure storage with write-once semantics.
• Sanctions/PEP screening: Query OFAC/EU/UN lists through the vendor or a dedicated screening service. Enforce schedule-based list refreshes via Make.com schedulers.

3) Policy-as-code decisions

• Thresholds: Encode risk triggers (e.g., exact/near match logic, adverse media severity) as explicit, versioned rules.
• Routing: If “green,” proceed to account activation with a recorded decision. If “amber/red,” route to HITL.

4) HITL checkpoints and SoD

• PEP matches: Automatically generate a case in the system of record for analyst review, attaching source hits and screenshots.
• SAR threshold: If suspicious criteria met, require dual approval before SAR filing; log any manual overrides with rationale, user ID, and timestamp.
• Segregation of duties (SoD): Ensure the creator of a case cannot be the approver of a SAR; enforce via RBAC in the case tool.

5) Case management as system of record

• Use a case platform (or a structured database with audit fields) as the system of record. All artifacts—source docs, API responses, screenshots, analyst notes—are linked to the case ID.
• Make.com handles orchestration; the case tool is the authoritative ledger.

6) Evidence and lineage capture

• For every step, write logs with correlation IDs, API references, timestamps, and hash fingerprints for attachments.
• If you summarize risk context with an LLM, store the lineage: which sources fed the summary, with permalinks back to originals.

7) SAR preparation and submission

• Pre-fill SAR narratives from structured fields and analyst notes; stage the draft in the case tool.
• Require dual approval; upon filing, archive submission receipts alongside the case with immutable timestamps.

8) Periodic QC sampling

• On a schedule, auto-sample closed cases and assemble QC evidence packs: inputs, decisions, sources, and approvals.
• Route QC findings to remediation workflows (rule tuning, training refreshers, vendor feedback).

[IMAGE SLOT: agentic AML/KYC orchestration diagram on Make.com showing intake webhook, KYC vendor API, sanctions list refresh, HITL analyst review, dual-approval SAR, and case management system of record with timestamps and lineage links]

5. Governance, Compliance & Risk Controls Needed

• KYC vendor DPAs: Ensure data processing agreements explicitly govern PII handling, retention, sub-processors, and breach notification.
• Sanction list refresh SLAs: Codify daily or intra-day refresh cadences and monitor them with Make.com schedulers and alerts.
• SoD and RBAC: Separate requesters, reviewers, and approvers; enforce via role-based access in the case system and limit Make.com scenario permissions.
• Case management as system of record: Treat the case tool as the authoritative ledger; Make.com is orchestration only.
• Connector allowlists: Restrict Make.com connectors to only approved vendors and internal endpoints; block public file shares by default.
• Data retention policies: Define retention windows (e.g., 5–7 years for AML) and implement automatic archival and deletion tasks.
• End-to-end chain of custody: Maintain a complete trail from intake to decision with timestamps, user IDs, and evidence attachments.
• SAR evidence readiness: Ensure narratives, supporting documents, and approvals are exportable on demand for examiners.
• Retrospective QC sampling: Sample closed cases periodically; track findings to closure.

Kriv AI—your governed AI and agentic automation partner—frequently operationalizes these controls with policy-as-code thresholds, lineage links between risk summaries and their source documents, and automated QC evidence packs that make exams faster and less disruptive for lean teams.

[IMAGE SLOT: governance and compliance control map highlighting DPAs, SLAs for list refresh, RBAC/SoD, connector allowlists, data retention, and audit trails with human-in-the-loop steps]

6. ROI & Metrics

Mid-market teams should measure success with pragmatic, auditable KPIs:

• Onboarding cycle time: Minutes from application submission to decision; target 30–50% reduction via automated routing and HITL triage.
• Manual handling rate: Percentage of cases requiring analyst intervention; improve by tuning thresholds and better enrichment.
• False positive rate: Share of screened hits that are dismissed; reduce by linking summaries to original sources for faster analyst decisions.
• SAR prep time: Hours from alert to SAR-ready packet; shrink through pre-filled narratives and dual-approval routing.
• Evidence retrieval time: Minutes to assemble a complete evidence pack for an examiner; aim for near-instant exports from the case system.
• QC coverage and findings: Percentage of closed cases sampled per month; track remediation cycle time to closure.

Example: A neobank running Make.com workflows moved from 2+ days to same-day onboarding decisions for standard cases, cut SAR prep time from 6 hours to under 2 hours, and reduced evidence retrieval from days to minutes by centralizing the case system of record and enforcing lineage at every step.

[IMAGE SLOT: ROI dashboard visualizing onboarding cycle time, manual handling rate, false positives, SAR prep time, evidence retrieval time, and QC coverage]

7. Common Pitfalls & How to Avoid Them

• Unverifiable KYC decisions: Avoid opaque logic. Encode policy-as-code with versioning, and store raw vendor responses alongside decisions.
• Missing SAR evidence: Treat SAR as a workflow culminating in an evidence packet; pre-fill narratives and archive receipts with immutable timestamps.
• Screening gaps from stale lists: Automate list refresh SLAs and alert on missed updates; do not rely on manual checks.
• Lineage gaps between alerts and data: Always store correlation IDs linking alerts, sources, summaries, and outcomes.
• No HITL on PEP or SAR: Mandate analyst review for PEP matches and dual approval for SAR filings; log manual overrides.
• Over-permissive connectors: Maintain a strict connector allowlist and RBAC; block unvetted integrations by default.

30/60/90-Day Start Plan

First 30 Days

• Discovery: Inventory onboarding and monitoring workflows, KYC vendors, and case systems; identify current pain points and examiner findings.
• Data checks: Validate data quality and mapping across apps; define correlation IDs and evidence storage locations.
• Governance boundaries: Draft DPAs, retention policies, connector allowlists, and SLAs for sanctions list refreshes.
• Architecture: Decide on case system of record; define Make.com roles, secrets management, and logging strategy.

Days 31–60

• Pilot workflows: Implement intake → KYC vendor → screening → HITL routing → case record creation; enable policy-as-code thresholds.
• Agentic orchestration: Add conditional branches for PEP, adverse media, and SAR thresholds; wire dual-approval steps.
• Security controls: Enforce SoD/RBAC, credential vaulting, and immutable evidence storage; restrict connectors.
• Evaluation: Track KPIs (cycle time, manual handling, SAR prep) and run a first QC sampling of closed cases.

Days 61–90

• Scaling: Expand coverage to periodic refreshes and high-risk workflows; tighten thresholds based on pilot data.
• Monitoring: Add SLA monitors for list refresh, error retries, and evidence completeness; enable alerting.
• Metrics and reporting: Stand up dashboards for KPIs and QC outcomes; document examiner-ready procedures.
• Stakeholder alignment: Brief compliance, ops, and product leaders on results, trade-offs, and the next iteration.

9. Industry-Specific Considerations

• Fintech and neobanks: Expect higher PEP/crypto exposure. Calibrate adverse media thresholds and ensure instant evidence exports for frequent audits.
• Money services businesses: Emphasize transaction monitoring integrations and cash-intensive risk indicators; tune SAR triggers accordingly.
• Digital lenders: Incorporate KYB and beneficial ownership checks; align fraud and AML signals to avoid duplicate reviews.

10. Conclusion / Next Steps

A BSA-safe orchestration on Make.com is absolutely achievable for mid-market firms: encode policy-as-code, enforce HITL where it matters, build an end-to-end evidence trail, and sample continuously for QC. This lets lean teams accelerate onboarding and investigations without compromising on governance.

If you’re exploring governed Agentic AI for your mid-market organization, Kriv AI can serve as your operational and governance backbone. As a mid-market–focused partner, Kriv AI helps with data readiness, MLOps, and workflow orchestration so you can deploy AML/KYC automation that’s auditable from day one and sustainable as you scale.