Support for both regulated institutions and Financial Crime technology providers.
FCRisk is designed to be useful where Financial Crime problems are substantive, cross-functional and decision-critical — not where a client merely needs generic commentary.
Banks, payment firms, fintechs and other regulated institutions
Typically facing transformation, remediation, data, technology, governance, investigation or assurance issues that cannot be solved in one silo.
- Regulatory, audit or internal-review pressure
- Weaknesses across customer-risk, KYC/UBO and monitoring chains
- Unclear target state or underpowered delivery governance
- Need for experienced independent challenge
Providers selling Financial Crime technology, data, analytics or AI
Often needing an independent bank-side perspective on buyer expectations, data dependencies, implementation reality and proposition credibility.
- Proposition and message refinement
- Bank-readiness and enterprise-fit review
- Control, governance and integration challenge
- Support navigating regulated-client expectations
Where clients often need help.
Transformation has become fragmented
Multiple teams own parts of the problem, but nobody is seeing or governing the complete Financial Crime decision chain.
Remediation is active but not yet defensible
Activity is underway, yet senior management, audit or regulators still lack confidence in closure quality, evidence or sustainability.
Technology ambition is ahead of operating reality
There is enthusiasm for platforms, analytics or AI, but data conditions, governance, workflows or buyer expectations are not yet properly addressed.
When the requirement expands beyond FCRisk.
Client needs do not always stay inside one proposition. FCRisk can route naturally into the wider advisory family when the mandate requires it.
NFRisk
Use when the issue extends into broader transformation, operational resilience, delivery assurance or wider non-financial risk architecture.
Visit NFRisk.comDQIntegrity
Use when the core weakness lies in data completeness, correctness, traceability or evidence across decision-critical flows.
Visit DQIntegrity.com