Enterprise AI in Banking

How One Bank Cut Client Onboarding from 32 Days to 14

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A 50% document review failure rate was cascading across KYC, compliance, and middle office. Celonis identified the root cause and deployed AI agents to fix it at the point of intake.

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The Banks Cutting Onboarding Time in Half Are Doing One Thing Differently

Client onboarding is one of the most operationally complex processes in banking. Documents get submitted incomplete. Cases bounce between front office, middle office, and back office KYC. Every failed review adds days, and those days compound across teams.

In this webinar, we will show you how Celonis gives AI the operational context to fix this problem at its source.

What you will see:

  • The real problem: Why banks average 32+ days to onboard a client, and why the root cause is not where most teams think it is.
  • Context Model for Banking: How Celonis connects core banking, KYC, AML, document management, and CRM into one operational model that AI can reason over.
  • AI agents in action: How document verification, outreach coordination, and exception routing run without manual intervention.
  • Simulation results: Onboarding cycle time: 32 days to 14 days. Document Review Fail Rate: 50% to 23.5%. Processing costs: $3.1M to $1.9M annually.
  • Enterprise AI Control Center: How to monitor 60+ deployed agents, track cost-per-case ($18.6K saved), and catch escalations before they reach clients.
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https://www2.celonis.com/l/238122/2026-08-06/3q7g4k/?ON24_Event_ID=8000216339&ON24_Key_ID=B0D0516603A059DB9462C9C0BD4F6A7E
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speakers
  • Michiel Pieters
  • Rogier Wessels