KYC/KYB AUTOPILOT. From months of manual remediation
to intelligent, exception-driven processing. 

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From months of manual remediation
to intelligent, exception-driven processing

TARGET STATE
Automate → Validate → Route

PoC TARGET  •  6 months of requests → 1 day

Automate repeatable work. Prioritize exceptions. Reuse across markets.

KYC/KYB Autopilot  |  Hackathon concept  |  1

Why this matters: quantify the operational pain. Use a representative market/sample to establish the baseline before claiming benefits.. 

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Why this matters: quantify the operational pain

Use a representative market/sample to establish the baseline before claiming benefits.

• Data + document validation • Missing / inconsistent information • Manual remediation and preparation • Downstream hand-off / reconciliation

Turn the sample into an automation backlog

KYC/KYB Autopilot  |  Hackathon concept  |  2

Replace a file-and-human workflow with intelligent orchestration. 

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Replace a file-and-human workflow with intelligent orchestration

Current-state bottlenecks remain visible, while automation is inserted before downstream compliance processing.

• Completeness + schema validation • Normalization + historical comparison • Document extraction + data matching • Confidence / reason codes + audit trail • API/event publishing + retry/reconciliation

KYC/KYB Autopilot  |  Hackathon concept  |  3

Automate the repeatable work; preserve human control. 

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Automate the repeatable work; preserve human control

Three-lane decisioning turns CCP/GCCP from a processing engine into an exception + oversight function.

• Complete + consistent • Verified / trusted source • No material conflict

• Safe deterministic fixes • Format / standardization • Reason code captured

• Low confidence / conflict • Missing / expired evidence • Material data change

CCP CONTROL: sample verification of auto-remediated records + prioritized review of exceptions

KYC/KYB Autopilot  |  Hackathon concept  |  4

Business impact: months → days, manual review → exceptions. 

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Business impact: months → days, manual review → exceptions

The PoC should prove throughput, exception reduction and control effectiveness—not just model accuracy.

Batch-process backlog instead of spreading remediation across months.

Build once; configure market rules and reuse the same engine.

CCP prioritizes exceptions and samples auto-remediated records.

Standard rules, provenance, reason codes and repeatable controls.

Illustrative only — replace with PoC results.

Objective: zero unnecessary human effort — not zero human review.

KYC/KYB Autopilot  |  Hackathon concept  |  5

Scale safely: reusable core, market configuration, measurable controls. 

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Scale safely: reusable core, market configuration, measurable controls

A phased rollout lets the hack prove value quickly while preserving KYC/KYB governance.

Reusable validation core
Market-specific rules as configuration
Multiple KYC/KYB journeys

CCP sampling + exceptions
Audit + provenance
Override with reason capture

Track recurring defects
Improve automation coverage
Monitor rule/model performance

ONE PLATFORM  •  MULTIPLE MARKETS  •  EXCEPTIONS OVER OPERATIONS

Next PoC proof points: throughput • exception rate • accuracy • CCP sampling results • market portability

KYC/KYB Autopilot  |  Hackathon concept  |  6

KYC_KYB_Autopilot_Hackathon

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