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Sumsub Finance Day 2026

From intelligent automation to autonomous action

Join industry leaders working through the shift from manual risk processes to more automated, AI-assisted operations. Get practical perspectives on where automation helps, where AI agents are starting to play a role, and what governance looks like when things move faster.

Date: June 23, 3 p.m. CEST

Format: Online

About
the event

Find out how financial institutions are approaching automation in fraud and compliance, where AI is starting to make a difference, and what it takes to scale these workflows without losing oversight.

When
June 23, 3 p.m. CEST
Agenda

Kickoff and Welcome

Intelligent automation in fraud and compliance: opportunities, limits, and data readiness

Fraud and compliance teams are under pressure to handle more with fragmented systems, growing alert volumes, and increasingly complex risk patterns.

This session looks at:

  • How institutions can move toward more consistent and scalable operations
  • Where automation tends to help most across financial crime workflows
  • How AI models can improve things like prioritization and decision support
  • Why a lot of this depends on having better data and feedback loops in place.

AI agents in finance: where they fit and how to govern them

Once institutions have more intelligent automation running, the question becomes how far AI should go from supporting decisions to acting on them.

This session looks at AI agents as the next stage of operational change, covering:

  • How institutions can move toward more consistent and scalable operations
  • Here automation tends to help most across financial crime workflows
  • How AI models can improve things like prioritization and decision support
  • Why a lot of this depends on having better data and feedback loops in place

From experimentation to execution: how to operationalize AI in fraud and compliance

The final session is about moving from pilots to something more durable. It covers:

  • How to prioritize the right use cases
  • How to define what humans own versus what machines handle
  • How to put the governance and review processes in place that make this work over time and hold up to regulatory scrutiny

Closing remarks

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