Service / Enterprise Transformation & Trust

AI KYB & Risk Intelligence

Design privacy-aware AI-assisted business verification and risk intelligence pipelines with explainable scoring and human-accountable review.

Business context

What this capability solves

Automated KYB can combine documents, websites, media, reviews and other signals, but risks false matching, source ambiguity, privacy overreach and opaque decisions. This service designs controlled intelligence pipelines and accountable decisioning.

EBP Integra delivery principle

Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.

Deep-dive capabilities

Capability model

Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.

Document Intelligence

OCR, document quality, extraction and evidence segregation.

Website Intelligence

Authorized website/source analysis with provenance and freshness controls.

Adverse / Media Signals

Entity-safe matching, allegation context and confidence thresholds.

Risk Scoring

Transparent features, weights, reason codes, thresholds and calibration.

Human Review

EDD queue, manual adjudication, correction and contestability.

Privacy & Data Governance

Purpose limitation, minimization, retention, no-training and source governance.

Reference architecture

How the capability fits together

Final topology, control placement and deployment model are validated during discovery and detailed design.

Business & Governance

Objectives, risk appetite, regulatory/standard requirements, owners and decision rights.

Assessment & Design

Current-state evidence, target controls, architecture, priorities and implementation backlog.

Delivery & Integration

Technical/process implementation, enterprise integration, testing and change enablement.

Operate & Assure

KPIs, control testing, incident/escalation, evidence refresh, management reporting and continuous improvement.

Controls & governance

Risk-based scope and acceptance criteria
Role-based ownership and approvals
Evidence and audit trail
Exception and escalation workflow
Quality review before sign-off
Defined handover and operating procedures

Priority use cases

Merchant onboarding
Third-party screening
Supplier due diligence
Digital marketplace risk
SME financing onboarding
Periodic customer refresh

Key deliverables

Functional architecture
Data/source register
Risk model and reason codes
Human-review workflow
PbD/DPIA controls
Pilot evaluation
Monitoring dashboard

Integration considerations

Identity and organization model
Asset/data inventories
ITSM/workflow
SIEM/logging
Document/evidence repositories
GRC and management reporting

Implementation

Phased delivery

Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.

1. DiscoverConfirm scope, stakeholders, evidence, dependencies and risk drivers.

2. DesignDefine target operating model, controls, architecture and prioritized roadmap.

3. ImplementDeploy processes/technology, integrate, test and train accountable teams.

4. AssureMeasure outcomes, close gaps, hand over and establish continuous governance.

Outcome and KPI framework

False-positive rateManual review rateDecision turnaroundEvidence completenessSource freshnessOverride rate