Oversight-AI:
Purpose-Built for Third-Party Risk.
Oversight-AI is the AI engine behind Across — it automates Onboarding Risk Assessments and Periodic Risk Assessments of fintech and BaaS partners for banks and credit unions. Not a generic LLM: it is trained to evaluate third-party partner risk indicators against your bank's own assessment guidelines — ingesting documents, scoring risk, and getting smarter with every review cycle, with a QA analyst verifying every output before it reaches your risk committee.
Oversight-AI:
purpose-built for third-party risk.
Oversight-AI is not a generic LLM, it is specifically designed to evaluate TPP risk indicators in accordance with your bank's own assessment guidelines — and gets smarter with every review cycle.
Ingests submitted documents, outputs from integrated services (KYC and TM applications, OFAC and sanction services, and others) and draws relevant inferences.
Utilizes ingested information to generate observations and assigns scores per risk indicator, grounded in your defined assessment framework.
Continuously fine-tunes its knowledge base from reviewer edits and approvals — improving accuracy over time.
AI-powered.
Human-verified.
Oversight-AI is built to work at the speed and scale no human team can match — but every model is only as good as the judgment behind it. That's why Across employs a dedicated team of QA analysts with deep BSA/AML, KYC, and third-party risk expertise.
Every AI-generated assessment is subject to human QA review. Our analysts verify observations, validate scoring, and flag any inconsistencies before reports reach your risk committee.
QA analyst feedback is fed directly back into Oversight-AI — correcting errors, reinforcing accurate evaluations, and continuously improving the model's performance across risk areas.
You get the efficiency of AI with the accountability of expert human oversight — so your team can trust every report that comes out of the platform.
Regulatory Compliance, BSA/AML/OFAC, Financial, InfoSec, Operational, and more.
FDIC and NCUA examiners have reviewed Across reports directly.
From onboarding due diligence through periodic reassessment and continuous oversight.
A Generic Model Guesses. Oversight-AI Is Accountable.
Off-the-shelf AI tools can summarize a document. They can't stand behind a regulatory conclusion. Oversight-AI is architected — and staffed — to do both.
Bank-Grade Controls Around Every Model Decision.
Oversight-AI is built to the same standard your compliance team is held to — encrypted, access-controlled, and fully auditable, so you can defend every model decision to an examiner.
Your documents, risk indicators, and assessment history are never used to train models shared across other institutions.
Data encrypted in transit and at rest, with role-based access controls down to the document level.
Every AI-generated observation is logged with its source evidence, model version, and reviewing analyst.
No AI conclusion reaches your risk committee without a QA analyst's sign-off — every time, no exceptions.
One Report. Every Risk Area, Fully Traceable.
Every Oversight-AI assessment generates the same structured report — executive summary, risk-area summaries, detailed observations, and a quantified risk rating.
A concise, decision-ready summary that highlights key risks, overall posture, and critical findings — your risk committee knows what matters in minutes.
Structured summaries across 14+ risk areas, giving reviewers a complete, consistent view across every third-party relationship.
Granular observations per indicator with supporting evidence, source references, and analyst review notes.
Precise risk summary and recommendations alongside a quantified risk rating — to assist decision-making and follow-up actions.
What Banks Ask Before Trusting an AI Platform.
No. It removes the manual document review and drafting burden so your team's time goes toward judgment calls, not data entry. Every AI-generated observation is still reviewed by a human QA analyst before it reaches your risk committee.
No. Your documents, risk indicators, and assessment history remain isolated to your institution. Adaptive learning improves Oversight-AI's performance on your data, for your program.
Every observation is traceable to its source evidence and model version. QA analysts catch and correct inconsistencies before publication, and every correction feeds back into the model — so the same error becomes less likely next cycle.
Yes. Oversight-AI evaluates TPP risk indicators against your bank's own assessment guidelines and risk appetite — not a generic template.
FDIC and NCUA examiners have reviewed Across reports directly. Every report includes a full audit trail, QA sign-off, and the evidence behind every conclusion.
Ready to Put AI — and Accountability — Behind Every Assessment?
See how Oversight-AI turns document review, scoring, and QA into one continuous, examiner-ready workflow.