Automated sampling, AI-assisted review, and synthetic case testing for Compliance and Risk first line investigations.
Built for fintechs, banks, and payment institutions.
The problem
Every regulated institution has a QA program - they just do it badly. Coverage is thin, findings arrive too late, and the evidence pack is a reconstruction.
The platform
Replace the spreadsheet with a single system of record for all QA and control-testing across Compliance and Risk Operations.
Dummy CDD, fraud, and AML alerts inserted silently into live queues to continuously test whether analysts - or AI agents - make the right call. The first control-testing layer built for a world of automated Line 1.
Dynamic case selection by risk score, analyst, segment, or regulatory priority. Configurable up to 100% population coverage.
Actionable and easy-to-digest insights that enable improved decisions.
Pre-aggregates case evidence, flags likely policy breaches, and suggests scorecard outcomes for reviewer approval - or runs fully autonomously on low-risk tiers.
Structured narratives, timestamped workflow, and decision rationales generated on demand for key stakeholders.
Findings feed analyst-level capability gaps, trigger targeted training, and track remediation - turning QA from a retrospective scorecard into a continuous improvement loop.
Real-time quality, error-rate, and control-effectiveness metrics - drillable by analyst, team, case type, agent vendor, risk segment, geography, and industry vertical. Examiner-ready exports built in. Know what's broken before the regulator does.
How it works
No rip-and-replace. Yssem layers over your existing case management system.
Integrate with your existing CMS. Configure scorecards, sampling rules, and policy guardrails through a no-code interface.
Risk-based sampling selects cases automatically. AI pre-reviews each one and flags likely policy breaches for human sign-off - or runs autonomously.
Export regulator-ready evidence packs on demand. Feed findings back to analyst coaching and track remediation - closing the loop in real time.
Why now
Bretton AI, Arva, Flagright, and Lucinity have raised hundreds of millions to automate Line 1. Regulators are already asking: "How do you know your AI agents are making good decisions?" The only credible answer is an independent QA layer - and no one has built it.
Structural conflict of interest. Second-line functions and regulators explicitly require independence. Every new deployment increases the need for Yssem.
Unit21, Hummingbird, Alloy - they're the system of record for investigations. We sample and grade the decision. We read their data; we don't replace them.
LogicGate, MetricStream, Archer - built for CRO reporting packs and quarterly attestations. Not operational QA. No FinCrime domain, no synthetic testing.
Norm AI, Hadrius - they define what the ruleset says. We test whether actual decisions complied with it. Potential integration partner, not a competitor.
Run Yssem against any Line 1 AI vendor in your environment. Get a vendor-neutral scorecard before you go live - and keep scoring continuously after deployment.
Join compliance and risk teams who trust Yssem to close the loop between Line 1 decisions and Line 1b oversight.
Tell us about your compliance operation and we'll show you exactly how Yssem fits - no generic demos, no wasted time.
We'll be in touch within one business day.
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