Markets
Crypto exchanges & trading venues
Perimeter analysis, licensing readiness, market conduct, custody, client asset controls, AML/CFT and technology governance.
Operating model
Regulatory advisory across complex digital-asset business models.
Different business models create different regulatory, financial-crime, technology and governance questions. The operating model—not the marketing label—drives the regulatory analysis.
Markets
Broker-dealers & liquidity businesses
Activity mapping, client classifications, governance, conflicts, conduct, financial crime and reporting implications.
Finance
Financial institutions
Digital-asset operating models, third-party risk, governance, financial-crime controls and regulatory-perimeter analysis.
Technology
Blockchain & DLT businesses
Determine when technology services intersect with regulated virtual asset activities and what governance / controls follow.
Tokenisation
Tokenisation platforms
Map token structures and activities against the relevant financial-service, virtual-asset and product frameworks.
Technology
Fintech & payments
Assess the boundary between technology provision and regulated financial activity, with financial-crime and operational-risk implications built in.
Board perspective
The regulatory question is usually cross-functional.
Board
Accountability
Clear ownership of regulatory risk, risk appetite, governance and escalation.
CCO / MLRO
Control integrity
Documented policies, risk assessments, monitoring, investigations, reporting and evidence.
CTO / CIO
Technology risk
Architecture, security, access, outsourcing, data lineage and resilience linked to regulatory obligations.