Financial crime is a connected problem. Fraudsters build networks: layered shell companies, synthetic identities, coordinated transaction patterns designed to look routine until the damage is done. Now AI has industrialised it. Criminals generate synthetic identities at scale, mimic legitimate behaviour with near-perfect accuracy, and operate entirely free of the compliance constraints that govern how banks can deploy the same technology. The gap is widening.
Catching them means seeing the full picture: every entity, every account, and every transaction, mapped as they connect. Graph technology is how leading banks, insurers, and payment providers do that today. Combined with AI, it delivers reasoning paths investigators can defend and regulators can audit, moving your organisation from reactive detection to staying ahead of the threat.
Hosted by Neo4j in partnership with Capgemini, GraphTalk London: Financial Crime brings together senior leaders from UK banking, insurance, and payments for a morning of practitioner-led talks, live demonstrations, and open discussion. The session is designed for heads of financial crime, fraud, and compliance, alongside architects and technical leads responsible for your organisation's financial crime infrastructure.
Seats are limited. Register to join us on 7 July.
Now we have a view of the overall picture of financial crime and the role of AI within it, let's step back and consider why fraud is inherently networked, why criminals rarely operate in isolation or across a single institution, and why understanding the criminal network is one of the most effective ways to detect it.
Colin Whitmore - Financial Crime Director
Financial crime hides in networks and demands explainable decisions. This talk shows how to build trusted AI for AML, fraud, and sanctions with Neo4j - using GraphRAG and a semantic layer to deliver reasoning paths investigators can defend and regulators can audit.
Chris Booth - Solutions Engineer, Neo4j
The tools exist. But what does it actually take to deploy them inside a regulated institution? Three practitioners share what works, what doesn't, and then open the floor to your questions.
Colin Whitmore - Financial Crime Director
Faye Turpin, Director, Financial Crime Compliance - Capgemini
Chris Booth, Solutions Engineer - Neo4j
Faye Turpin is a Director in Capgemini's London office specialising in financial crime compliance, with over 17 years' experience across Tier 1 banks and global consultancy firms. She has led complex change and regulatory programmes across AML, sanctions, and financial crime remediation, working across retail, commercial, and investment banking, as well as crypto and fintech, across multiple jurisdictions.
Colin is a recognised subject matter expert in Financial Crime strategy and innovation, with over two decades of experience across banking and financial services. He has worked with leading institutions including Aviva, Barclays, HSBC, and NatWest, advising senior leaders on strategy, technology, and architectural transformation. His work focuses on designing integrated solutions that combine data, technology, and advanced analytics to strengthen Financial Crime prevention.
Alister Coates is Head of Financial Crime Compliance Technology at Capgemini, with over 15 years' experience delivering complex change across financial services. He specialises in data and technology transformation, from strategy and vendor selection through to implementation, and is known for building strong partnerships with senior stakeholders to help organisations achieve their strategic objectives.
Chris Booth is a Solutions Engineer at Neo4j, working with major banks and financial institutions to refine use cases, build prototypes, and solve complex integration challenges. One of Neo4j's leading graph technology experts in the financial services space, he brings a strong AI background from his previous role as Product Owner for machine learning at NatWest Group, where he led development of their AI-driven customer service platform.
