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Banking & Financial AIActive

Threshold: Customer Onboarding

AI-orchestrated customer onboarding — document collection, identity & CDD verification, sanctions and PEP screening, risk scoring, and compliance sign-off in a single audited workflow.

Live system: Parallelized onboarding pipeline where intake, verification, and screening agents execute in parallel against shared customer data, converging on a single risk-

60%+ faster
Onboarding Time
98%
Document Accuracy
100%
Screening Coverage
-70%
Compliance Escalations
Free 20-min discovery + 48h ROI audit Production-grade, not a demo4 weeks to first value
Onboarding < 24 hours for routine casesHuman-in-the-loop for all high-risk decisions • Borderline flagged
Why this vs status quo
Do nothing
60%+ faster lost
Manual Banking & Financial AI
Build in-house
6–12 months
Hire + maintain
Threshold
98%
Weeks, not months
Document Collection • Identity & CDD Verification
Save ~10×

What ships

  • Document Collection — Automated intake and validation of ID documents, proof of ad…
  • Identity & CDD Verification — Verify individuals and corporate structures — directors, UBO…
  • Sanctions & PEP Screening — Real-time screening against OFAC, EU, UN, and local watchlis…
  • Risk Scoring & Segmentation — Model-driven risk segmentation per customer profile, jurisdi…
  • Compliance Sign-off — Structured review queue where compliance officers approve, c…
  • Audit Trail & Reporting — Immutable record of every document, decision, and data point…

Human signs every critical step • Audit trail included

Sample output & architecture

ThresholdProduction Blueprint
Dated 18 Aug 2026 • #THR-2026-041
Onboarding Time: 60%+ fasterDocument Accuracy: 98%Screening Coverage: 100%Banking & Financial AI
Agents
Intake Agent • Due Diligence Agent • Screening Agent
Stack
Azure AI Foundry, Azure AI Document Intelligence, Azure AI Search, Microsoft Graph API
Workflow preview
1. Application Intake2. Identity & CDD Verification3. Sanctions & PEP Screening4. Adverse Media Scan
Data flow: Application Intake → Document OCR → Identity/UBO Verification → Screening → Risk Score → Decision Routing → Compliance Sign-off → Monitoring Handoff
Azure AI Foundry + LangChain • Azure provides the document intelligence, search, and hostinv1.0 • Audit trail

Why Azure AI Foundry + LangChain wins

Azure provides the document intelligence, search, and hosting foundations needed for regulated onboarding, while LangChain orchestrates the parallel agent workflow with an immutable audit trail. Full compliance alignment for CBUAE, DFSA, and ADGM expectations.

Alternatives: AWS Bedrock + LlamaIndex, Google Vertex AI + AutoGen

How Threshold works — Instant to first value

Application Intake → Identity & CDD Verification → Sanctions & PEP Screening → delivery. Full 8-step trail collapses below.

01Instant
Application Intake
Customer submits from web, mobile, or API. Intake agent collects documents and validates the checklist.
02< 5 minutes
Identity & CDD Verification
Individuals and corporate structures verified against registries and ID databases.
03< 1 minute
Sanctions & PEP Screening
Real-time screening across all watchlists with false-positive reduction.
Full 8-step audit trail
1
Application Intake Instant
Customer submits from web, mobile, or API. Intake agent collects documents and validates the checklist.
2
Identity & CDD Verification < 5 minutes
Individuals and corporate structures verified against registries and ID databases.
3
Sanctions & PEP Screening < 1 minute
Real-time screening across all watchlists with false-positive reduction.
4
Adverse Media Scan < 2 minutes
Automated scan of news and adverse media for entity and its principals.
5
Risk Scoring < 30 seconds
Transparent risk score computed from profile, jurisdiction, and product factors.
6
Decision Routing Instant
Routine cases auto-approve; complex cases route to compliance officers with full context.
7
Compliance Sign-off Minutes
Officer reviews the packaged case file, adds conditions, and signs off in minutes.
8
Onboarding & Monitoring Ongoing
Customer activated and moved into ongoing transaction monitoring with full audit trail.

Which Banking & Financial AI use case is yours?

Tap your model — see the exact hinge we test.

Corporate Account Opening

Onboard corporate clients end-to-end — structure, UBOs, source of funds — in a fraction of the manual effort.

Do nothing
60%+ faster wasted
  • Manual Banking & Financial AI process
  • No audit trail
  • • No evidence for inspector/investor
Build in-house
6–12 months • Hire team
  • Hire + train + maintain
  • • No re-run if product changes
  • • Hard to show investor quickly
Threshold98%
8 steps • Agents • Evidence
  • Document Collection
  • Identity & CDD Verification
  • Daily watch + re-run

Multi-agent mesh — orchestrated

Live system presentation

Threshold · Agent Mesh

ORCHESTRATORBanking & Financial AIIntakeACTIVEDue DiligenceNODE 02ScreeningNODE 03RiskNODE 04Compliance Offi…NODE 0512345678
Step 1Instant

Application Intake

Customer submits from web, mobile, or API. Intake agent collects documents and validates the checklist.

Document uploadOCR extractionCompleteness checkChecklist tracking

Objections, answered

If it’s not answered, you’ll hesitate. So we answer it here.

AI-orchestrated customer onboarding — document collection, identity & CDD verification, sanctions and PEP screening, risk scoring, and compliance sign-off in a single audited workflow. Delivered as 5 specialized agents + 8-step workflow. You get Document Collection + Identity & CDD Verification and a dated evidence trail.
Production in 4 weeks • Audit trail

Get Threshold live — without the Banking & Financial AI drag.

AI-orchestrated customer onboarding — document collection, identity & CDD verification, sanctions and PEP screening, risk scoring, and compl… Implementation: Document Pipeline → Screening & Verification → Risk & Decisioning → Compliance & Launch.

Questions? Talk to a human • Responses in < 24h • Human signs every critical step

Evidence + audit trailAzure AI Foundry + LangChainDeterministic — LLM only for rationale