Configurable scorecards
Policy-aligned scoring. A KYC and CDD QA scorecard runs in the prototype on synthetic cases.
Independent QA for Compliance Operations.
YSSEM re-checks compliance decisions against your own policy and hands your stakeholders a complete audit trail. Likely policy breaches are flagged for human review.
- Coverage
- Configurable up to 100% of closed cases, near real time.
- Findings
- Nothing is auto-resolved. Likely breaches are raised to your reviewers.
The platform
One platform. From sampling to stakeholder-ready evidence pack.
100% coverage of all cases, near real time, with the audit trail.
Running in the prototype
Audit evidence pack
Configurable reports generated on demand for the MLRO, Risk and Internal Audit. The prototype produces a weighted report per case.
Risk-based sampling
Dynamic case selection by risk score, analyst, segment or priority. Configurable up to 100% population coverage.
Synthetic case testing
Synthetic CDD, AML and identity-fraud cases injected into production queues to test, continuously, whether analysts, AI agents and identity stacks make the right call.
Benchmarking
Human versus AI-agent quality benchmarking: the same scorecard across human analysts, AI agents and identity systems.
Synthetic case testing
In buildSynthetic cases in live queues.
Synthetic CDD, AML and identity-fraud cases injected into production queues to continuously test whether analysts, AI agents and identity stacks are making the right calls.
- Always-on control testing
- Every shift, every analyst, every agent is measured.
- Agent and vendor independence
- Line 1 AI agents cannot QA themselves, and neither can your IDV vendor. YSSEM sits above every Line 1 tool.
- Stakeholder-ready evidence
- Results produce exactly the artefact stakeholders ask for.
The decision and the identity
We re-verify the decision, and the identity behind it.
Decision QA
- Does the CDD or EDD narrative actually support the risk rating?
- Is the adverse media assessment complete and correctly weighted?
- Is the sanctions or PEP disposition justified?
- Likely policy breaches flagged for human review.
Identity QA Optional module
- Independent re-scoring of face verification and liveness outcomes.
- Passive device signals: fingerprint, behaviour, network anomalies.
- Vendor-independent. YSSEM grades the IDV stack, not just the analyst.
Output A traceable, defensible audit trail showing what was reviewed and where exceptions were identified.
Why independent QA
The system making the decision cannot be the only system measuring its quality.
Where manual QA falls short
- Coverage
- A typical closed-case sample rate is 1 to 5%. The majority of cases go unreviewed.
- Latency
- Findings arrive weeks after the decision, too late to change behaviour.
- Consistency
- Subjective scoring varies by reviewer. Now AI agents are doing the actual work.
- Defensibility
- Evidence is a reconstruction, not a live record.
Closed decisions, one queueIllustration
- Re-checked by a manual sample
- 9 of 288
- Never checked
- 279 of 288
If a team samples 1 to 5% of closed cases, this is what the other 95 to 99% look like.
What the regulator says
Good practice: “Periodic testing and quality assurance of alert investigations.”
Where YSSEM sits
YSSEM sits above every Line 1 tool.
- 01
Sample
Closed cases, selected by risk, analyst or segment.
- 02
Re-check against your policy
The same criteria, whoever made the decision.
- 03
Finding
Which criteria failed, why, and the evidence.
Decision made by
In-house analyst, Outsourced team, AI agent.
Out
- A finding and evidence record per decision
- For the MLRO: evidence that human and AI decisions meet policy
- For the Head of Risk: independent evidence of Line 1 effectiveness
- For Internal Audit: a consistent, regulator-ready audit trail
- Gaps by analyst or agent, for coaching
Not YSSEM
- Does not perform the work or make the decision.
- Does not manage the case or replace the system of record.
- Does not test controls or validate models.
Nothing is auto-resolved. Likely policy breaches are raised and escalated. A supervisor who samples 1 to 5% of cases gets 100% coverage and a shortlist of what to look at.
Security and data handlingOthers perform, manage or test the work. YSSEM independently tests the outcome.
- Line 1 AI agents
- They perform the work. YSSEM independently measures decision quality.
- Identity and fraud infrastructure
- They make or inform the decision. YSSEM independently re-verifies the outcome.
- Case and workflow platforms
- They manage the case. YSSEM samples, scores and benchmarks the outcome.
- Assurance and control testing
- They test controls or models. YSSEM does case-level QA and synthetic case testing.
Design partnership programme
Evaluate YSSEM on your own closed cases.
One queue, an agreed sample, your policy criteria. We sign an NDA and run the cases through YSSEM.
Discuss a design partnershipHow it runs
- 01
Your QA process first
Thirty minutes on how QA runs in your firm. No product pitch.
- 02
Agree the scope
One workflow, an agreed sample, your policy criteria, data handling. You choose the workflow.
- 03
Review the findings together
Each finding, with the evidence behind it, and your reviewers’ feedback.