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Compliance & Risk

AML / KYC Orchestration

Identity vendors, unified decisions

Presentation

Overview

Most payment businesses end up depending on several identity and screening vendors over time, one for document verification, another for sanctions and politically exposed person screening, perhaps a different provider entirely for business verification in a specific market. Pay Engineers builds the orchestration layer that turns this patchwork into a single, coherent onboarding decision process, rather than a collection of disconnected vendor integrations each with their own UI, API and failure modes.

The orchestration layer sits between your onboarding flow and your identity vendors, so adding a new provider, replacing an underperforming one, or running two providers in parallel for a specific market becomes a configuration change rather than a rebuild of your onboarding logic.

We design the decisioning workflow around your actual risk tiering strategy, so automated approvals, manual review triggers and outright rejections reflect your compliance policy precisely, not a generic default that happens to ship with a vendor product.

Who This Is For

  • Payment businesses currently integrated with multiple identity or screening vendors through separate, inconsistent code paths
  • Companies expanding into new markets that require additional or different KYC and KYB providers
  • Compliance teams spending excessive manual effort stitching together evidence from multiple vendor systems for audits
  • Businesses wanting a defined, risk-tiered onboarding decision process rather than an ad hoc approval workflow

What You Get

  • Vendor abstraction so document verification, business verification and screening providers sit behind one consistent internal interface
  • Risk tiers that combine vendor outputs and your own business rules into a single, defensible risk classification per customer
  • Manual review queues that route only genuinely ambiguous cases to compliance analysts, with full context attached
  • Audit evidence export producing complete, ready-to-share compliance packages for regulators or internal audit

Technical Approach

The orchestration layer is built on Laravel, with vendor adapters implemented for each identity or screening provider you use, translating their differing APIs, response formats and terminology into one internal representation. This means your onboarding logic, risk tiering and reporting never need to know which specific vendor produced a given piece of evidence.

A workflow engine drives the onboarding decision process itself, sequencing vendor checks, applying risk-tier logic and determining whether a case can be auto-approved, needs manual review, or should be declined, all according to configurable policy rather than logic embedded in application code. Every decision, along with the vendor evidence and policy version in force at the time, is retained in a form suitable for later audit export, so compliance evidence does not need to be reconstructed after the fact.

Delivery Process

  • Discovery of your current vendor landscape, onboarding flow and risk tiering approach
  • Vendor adapter and workflow design, covering how automated decisions, manual review and escalation should behave
  • Sprint-based build of vendor adapters followed by the decisioning workflow and manual review tooling
  • Parallel-run testing against real onboarding cases to validate risk-tier accuracy before cutover
  • Phased rollout, typically by market or customer segment, with close monitoring of approval and review rates

Outcomes and Benefits

  • Faster onboarding for genuinely low-risk customers through cleaner, more confident automated decisions
  • Reduced compliance analyst workload through better-targeted manual review queues
  • Freedom to add, replace or run vendors in parallel without onboarding flow rework
  • Audit-ready evidence that can be produced quickly rather than assembled manually under deadline pressure

Technologies

Laravel Vendor adapters Workflow engine

FAQ

An orchestration layer lets you combine or switch between multiple identity verification, sanctions screening and AML monitoring vendors through a single integration, unifying their differing outputs into one consistent decisioning model rather than having each vendor drive a separate, inconsistent part of your onboarding flow. This matters commercially because verification vendor performance and pricing varies significantly by market, and being locked into a single vendor limits your ability to optimise coverage and cost as you expand. We design the layer so vendors can be added, removed or A/B tested without changing your core onboarding logic. This flexibility is difficult to retrofit once a business has built directly against one vendor's specific API.
We build a decisioning layer that combines signals from each vendor into a single risk outcome using rules or weighted scoring you define, so conflicting individual vendor signals, such as one screening tool flagging a weak sanctions match while another returns a clean result, are resolved consistently rather than left for an analyst to interpret ad hoc each time. Decision logic is configurable and versioned, so you can tune sensitivity as your risk appetite or regulatory expectations evolve, and every decision retains the full underlying vendor responses for audit purposes. This gives your compliance team both the efficiency of automated decisioning and the ability to fully explain any individual decision after the fact. Manual review queues are used for genuinely ambiguous cases rather than for every case, keeping review effort proportionate.
Beyond onboarding, the platform supports ongoing monitoring such as periodic re-screening against updated sanctions and PEP lists, transaction monitoring for suspicious patterns, and triggered re-verification when a customer's risk profile changes, since AML obligations do not end once a customer is onboarded. We configure monitoring frequency and triggers according to your risk-based approach, so higher-risk customers receive more frequent review than lower-risk ones. Alerts generated by ongoing monitoring flow into the same case management workflow as onboarding decisions, giving your compliance team a single place to work rather than juggling separate systems for onboarding and ongoing due diligence. This continuous approach reflects what most AML regulatory frameworks actually require, not just point-in-time onboarding checks.
Every decision, whether automated or manual, retains the full input data, vendor responses, applied rules and responsible actor, structured so a regulator or auditor can reconstruct exactly why any specific customer was approved, rejected or flagged at any point in their relationship with you. We design reporting specifically around the questions auditors typically ask, such as demonstrating consistent application of your risk-based approach across similar customer profiles, rather than leaving your compliance team to assemble evidence manually under time pressure during an audit. Data retention periods are configurable to match your jurisdiction's regulatory requirements. This audit-first approach to the data model is deliberate, since retrofitting proper audit trails after a system is built is far more difficult than designing for it from the outset.
A first release integrating two or three vendors with a basic unified decisioning model typically takes 10 to 14 weeks, with additional vendors, markets or more sophisticated decisioning logic added in subsequent phases. Timeline depends significantly on how many vendors are in scope and how different their API models and response formats are from one another. We recommend starting with your primary market's vendors and decisioning logic, proving the orchestration approach in production, before expanding to additional markets or vendor combinations. Ongoing tuning of decisioning rules typically continues well beyond initial launch as your customer base and regulatory obligations evolve.

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