AGENTIC AML/KYC OPERATIONS
The review backlog isn't a staffing problem.
Vero Risk runs periodic reviews, screening dispositions, and remediation cases end-to-end with supervised AI agents — and produces the audit trail your regulator actually asks for.
Built by people who have sat in the regulator submission meeting.
THE STATE OF PLAY
You already know where the time goes.
A periodic review is 4–6 hours of work. Maybe 30 minutes of it is judgment. The rest is retrieval: pulling the client file, reconciling it against screening hits, chasing source-of-wealth evidence across three systems, re-keying it into a narrative a QA reviewer will send back anyway.
Your analysts didn't get slower. The population got bigger, the methodology got stricter, and the tooling stayed a queue of PDFs.
~80%
of review time is evidence gathering, not risk judgment
2–3x
rework rate when QA standards and analyst output drift apart
0
of that work is what your regulator means by “effective oversight”
THE SYSTEM
Agents that do the work. Humans who own the call.
Vero Risk is a pipeline of specialized agents. Each one does a single job, hands off structured output to the next, and logs every step. Nothing is a black box, because nothing is a single model making a single guess.
01
Connect
Plugs into your organization’s existing applications — client lifecycle systems, screening providers, document stores. Entity resolution maps the legal-entity mess before any agent touches a case.
02
Investigate
Retrieval agents assemble the case file: ownership structure, adverse media, screening hits, prior dispositions, missing-evidence gaps. Every claim carries a source pointer back to the originating record.
03
Draft
A disposition agent writes the review narrative against your methodology — your risk factors, your escalation triggers, your QA checklist — encoded as policy, not vibes.
04
Review
A human analyst approves, edits, or escalates. Four-eyes is enforced in the workflow, not the wiki. Every edit is captured, so the system learns where it’s wrong and your QA team can see exactly where.
The agent never files. The analyst never starts from a blank page.
WORKLOADS
Built for the queues that actually hurt.
Periodic reviews
Full KYC refresh drafted with evidence attached and gaps flagged. Analyst time drops to judgment and sign-off.
Screening alert disposition
Name-screening and adverse media hits triaged with documented rationale per hit — not “no match” with no reasoning.
Remediation campaigns
Backlog programs with a deadline (you know the kind). Vero parallelizes the population and gives you a live burn-down, not a weekly spreadsheet.
High-risk client oversight
EDD packages, source-of-wealth corroboration, and the recurring reporting your senior management committee asks for.
EVIDENCE
Every conclusion has a paper trail. Automatically.
Every agent action — what was retrieved, what was inferred, what the analyst changed — is logged as a structured event. When internal audit or your regulator asks “how was this disposition reached,” the answer is a record, not a reconstruction.
Full decision lineage. Source documents → agent reasoning → analyst action, replayable per case.
Methodology as code. Your risk-rating logic is versioned. When the methodology changes, you can show exactly which reviews ran under which version.
Model governance ready. Documentation designed to survive a model risk review, not just a sales demo.
HOW WE ENGAGE
Managed implementation. Not a license and a logout.
AML tooling fails at the integration layer, not the demo. We run the implementation: data mapping, methodology encoding, parallel-run validation against your existing process, and QA calibration with your team. You go live when your numbers say the output holds up — not when the contract says so.
01
Map
— systems, methodology, and population (2–3 weeks)
02
Parallel run
— agents work real cases alongside your analysts; we measure agreement rates (4–6 weeks)
03
Production
— scaled rollout with QA sampling thresholds you set
DEPLOYMENT
Your data stays in your perimeter.
- Deploys in your environment or on approved cloud infrastructure
- No client data used to train any model
- SSO/SAML, role-based access, full event logging
- Data residency configurable per jurisdiction
Bring us a backlog.
The first conversation is a working session: your population, your methodology, your worst queue. We’ll tell you honestly what agents can take off it — and what they can’t yet.