Workflow — UBO Remediation

UBO chains reconstructed without the dedicated remediation army.

FinCEN BOI reports, corporate registry filings, prior KYC files, and third-party UBO data (LexisNexis Bridger, Dun & Bradstreet) reconciled into a defensible ownership chain. 25%+ owners and senior officers identified across layered entities. Direct into Fenergo, Pega, NICE Actimize, Quantexa, or your CLM. Replaces dedicated UBO remediation teams that have absorbed $100M+ at major banks since 2024.

$100M+
Industry spend on UBO remediation since 2024
25%
Ownership threshold under FinCEN CTA
60–85%
Volume off the BPO line after AI cutover
What This Replaces

The Dedicated UBO Remediation Team Working a Two-Year Backlog

The work the UBO remediation BPO does on every layered-entity file — and the cost of leaving it there.

The labor

Beneficial-ownership remediation today moves through dedicated UBO teams at Genpact, WNS, Cognizant BPS, Accenture Operations, EXL, and adjacent BPOs, plus captive remediation operations at large banks. Banks have spent $100M+ collectively on UBO remediation since FinCEN's Customer Due Diligence Rule and the Corporate Transparency Act took effect — programs that typically run 18–36 months. Per-entity remediation cost runs into the low-hundreds of dollars when the ownership chain spans layered entities or jurisdictions.

The cycle time

Standard UBO file remediation takes 1–4 hours of analyst time per layered-entity file at offshore centers, with longer cycles when the corporate-registry data is in non-English jurisdictions, when nominee shareholders or trusts obscure the 25% threshold, or when prior-KYC reconciliation surfaces conflicts. Examiner cycles compress the timing — banks can't be in remediation indefinitely, and FinCEN expects updates as ownership changes.

The Workflow

Input · Analysis · Output

What goes into UBO remediation, what we do to it, and what shows up in the CLM.

Input

Entity data + UBO sources

  • FinCEN BOI reports filed by the customer entity
  • Corporate registry filings (SoS filings, foreign equivalents)
  • Prior KYC and CDD files on the customer
  • Third-party UBO data (LexisNexis Bridger, Dun & Bradstreet)
  • Ownership-tier organizational charts
  • Trust deeds, partnership agreements, nominee declarations
  • Sanctions and PEP screening hits on identified owners
Analysis

Reconstruct, threshold, validate

  • Ownership-chain reconstruction across layered entities
  • 25%+ owner identification per FinCEN CTA
  • Senior officer identification per FinCEN CTA
  • Multi-jurisdiction registry reconciliation
  • Nominee-shareholder and trust-tier analysis
  • Prior-KYC vs current-filing conflict detection
  • Confidence score per finding; exceptions to UBO analyst queue
Output

Updated UBO record into the CLM

  • Fenergo (REST API)
  • Pega Customer Decision Hub (DCO and REST APIs)
  • NICE Actimize (Actimize Connect API)
  • Quantexa (REST API)
  • Updated UBO record with chain-of-ownership graph
  • SAR queue if anomalous ownership detected
  • Refresh-due date set per risk tier
Side by Side

UBO Remediation Today vs. With Last Rev

The numbers that matter: cycle time, per-entity cost, accuracy, and exam posture.

Dimension Dedicated UBO Remediation BPOLast Rev UBO Remediation
Cycle time, file received to chain reconstructed 1–4 hours per layered-entity file5–20 minutes per file
Per-entity unit cost Low-hundreds of dollars on layered filesPer-entity, benchmarked at 25–45% of BPO unit cost
Layered-entity reconstruction depth Bounded by analyst time, multi-jurisdiction limitsFull chain reconstruction across registries and KYC sources
Multi-jurisdiction registry coverage US-state heavy, foreign-jurisdiction gapsUS, EU, UK, APAC corporate registries reconciled
Audit log per finding Analyst notes, no chain-element lineageSource registry + chain link + model version + confidence per element
CLM integration Manual re-keying into Fenergo / Actimize / PegaDirect via documented Fenergo / Pega / Actimize / Quantexa APIs
Renegotiation leverage at next BPO renewal None — you're locked in60–85% of routine remediation off the contract
How It Works

From Layered-Entity File to Reconstructed Ownership Chain

Five steps. Every one logged. Every one reversible if your confidence threshold isn't met.

Submission Lands
Layered-entity file from the CLM remediation queue — FinCEN BOI reports, corporate registry filings, prior KYC files, third-party UBO data (LexisNexis Bridger, Dun & Bradstreet), ownership-tier organizational charts, and trust / partnership agreements.
Extraction & Classification
Ownership-chain reconstruction across layered entities. 25%+ owner identification per FinCEN CTA. Senior officer identification per FinCEN CTA. Multi-jurisdiction registry reconciliation (US, EU, UK, APAC). Nominee-shareholder and trust-tier analysis.
Validation Against UBO Bar
Findings validated against FinCEN CTA, FinCEN's Customer Due Diligence Rule (Reg CDD), and global UBO requirements. Anything below your confidence threshold per finding is routed to a human exception queue — your call which queue, ours or yours.
Push to System of Record
Updated UBO record with chain-of-ownership graph into Fenergo, Pega, NICE Actimize, Quantexa, or your proprietary CLM via the documented integration. SAR queue updated if anomalous ownership detected. Refresh-due date set per risk tier.
Audit Log Persisted
Every chain link, threshold determination, and registry source logged with the registry citation, model version, and confidence score. FinCEN, OCC, FRB, FDIC examiner-ready and yours.
Compliance & Defensibility

Built to Meet the Quality Bar UBO Operations Already Run On

FinCEN CTA / BOI conformance
FinCEN Corporate Transparency Act 25%-owner and senior-officer identification rules tracked. BOI report data reconciled against bank-collected KYC. The audit log records the rule version active at the time of each remediation, supporting FinCEN exam responses.
Reg CDD posture
FinCEN's Customer Due Diligence Rule beneficial-ownership identification requirements applied across the entity-customer base. Per-customer beneficial-owner data refreshed against current filings, with the basis cited for each owner identified.
Global UBO defensibility
EU 5AMLD / 6AMLD, UK PSC register, APAC UBO requirements (Singapore, Hong Kong) tracked alongside US rules for multi-jurisdiction customers. Multi-jurisdiction conflicts surface with the basis cited so senior compliance makes the call.
PII and beneficial-owner residency
UBO data contains personally-identifiable information about owners and senior officers across jurisdictions. Deployable in your VPC or our SOC 2 environment. Encryption in transit and at rest; retention policies tied to your BSA recordkeeping rules and applicable cross-border data-residency requirements.
Common Questions

What Banks Ask About UBO Remediation

How is this different from Fenergo, Pega, NICE Actimize, Quantexa, or other CLM platforms?
Those are the systems where UBO records live. The competitor on this page is the dedicated UBO remediation BPO labor line on your operating budget — typically Genpact, WNS, Cognizant BPS, Accenture Operations, EXL running multi-year programs that have collectively absorbed $100M+ at major banks since FinCEN's CTA took effect. We undercut that labor cost, integrate directly into your existing CLM, and deliver updated UBO records with chain-of-ownership graphs into the system of record.
We have a dedicated UBO remediation team running a multi-year program. How does this work alongside that?
Most banks keep the UBO remediation arrangement in place during pilot and early production — we route exceptions, complex multi-jurisdiction nominee structures, and any case that genuinely requires senior-compliance judgment to the team you already have. Volume to the BPO drops 60–85% on routine layered-entity remediation once cutover completes. You renegotiate at the next renewal from a much better position, or shift the relationship to higher-complexity work like complex trust-structured customers or pre-onboarding diligence on prospective high-risk relationships.
What's your accuracy bar versus a UBO remediation analyst?
Our pilot success threshold is structured-finding extraction accuracy at parity with or above your incumbent BPO, measured on the same shadow-data sample of historical remediations. Anything below your defined confidence threshold per finding is routed to a human exception queue — your call which queue, ours or yours.
How do you handle multi-jurisdiction ownership chains and nominee shareholders?
Multi-jurisdiction registry reconciliation pulls data from US Secretary of State filings, EU 5AMLD / 6AMLD beneficial-owner registers, UK PSC register, and APAC equivalents. Nominee-shareholder structures and trust-tier ownership are analyzed with the underlying instruments cited. The audit log records the registry source for each ownership link.
How do you handle the FinCEN CTA 25% threshold and senior-officer rules?
FinCEN CTA threshold rules — 25% beneficial owners and senior officers exercising substantial control — are encoded as configurable rules. Threshold changes flow into the validation engine within days of effective dates. Each owner or senior officer identified has the basis cited (ownership percentage with source, control basis with source).
Can you actually integrate with Fenergo, Pega, NICE Actimize, Quantexa, and the third-party UBO data sources?
Yes — through the documented integration surface each platform supports. Fenergo via REST APIs; Pega via DCO and REST; NICE Actimize via the Actimize Connect API; Quantexa via REST. Third-party UBO data via LexisNexis Bridger, Dun & Bradstreet APIs licensed by your bank. Your IT and compliance teams review and approve service accounts. We do not require platform-side custom development.
How long until a pilot is running on a live remediation backlog?
UBO-remediation pilots typically run 6–8 weeks: 1–2 weeks of integration and per-jurisdiction rule mapping with the financial-crimes team, 4 weeks of shadow-mode running on real layered-entity files with no system-of-record writes, 1–2 weeks of supervised cutover on a constrained scope (one entity-type tier, one jurisdiction). Production rollout is staged after the pilot meets your accuracy and second-line-of-defense sign-off.
What does pricing look like compared to our current per-entity remediation rate?
We benchmark against your current per-entity cost — typically low-hundreds of dollars on layered-entity files. Our target is 25–45% of that per-entity cost at higher accuracy and faster cycle time. Pricing structures around volume tiers and outcome SLAs, not hourly billable rates.

Two Ways to Start

Take the AI assessment for a structured read on UBO-remediation feasibility. Or talk to us if you already know your remediation program is the largest open project on your financial-crimes budget.

Other Workflows

More Financial Services Workflows We Replace

The same approach, applied to the other document-heavy labor lines on your financial-crimes and operations budget.