Financial Crime propositions need to survive contact with a regulated bank.
FCRisk provides independent bank-side challenge for technology, data, analytics and AI providers that need to understand whether their proposition is credible, implementable and defensible in a regulated environment.
Proposition credibility
Does the proposition solve a real control problem, and is the message aligned to the decisions buyers actually need to make?
Implementation reality
Data conditions, interfaces, workflow, governance, operating-model impact and dependencies that can derail an otherwise strong product.
Bank buyer expectations
What senior Financial Crime, Data, Technology, Risk and Procurement stakeholders are likely to challenge before adoption.
What a review can cover
Data & control dependencies
Inputs, lineage, quality, evidence, exception handling and control assumptions.
Governance & assurance
Explainability, testing, operating ownership and whether the proposition can be defended internally and externally.
Client-readiness narrative
How to present the proposition to regulated institutions without overstating capability or ignoring implementation reality.
What makes a Financial Crime technology proposition bank-ready?
It works with real bank data.
The proposition should be realistic about source quality, lineage, integration, permissions, exceptions and the operational cost of getting data into usable form.
It fits governance and workflow.
Detection performance alone is not enough; institutions also need ownership, investigation workflow, QA, explainability, evidence and change control.
Claims survive challenge.
Commercial positioning should distinguish proven capability, implementation dependencies and assumptions rather than relying on generic AI or automation promises.