Banking Transformation Summit 2026
Build AI agents your bank can actually trust
Meet Skan AI
Featured Session | May 19 | 4:25 PM
Why AI Pilots Stall in Banking: Bridging Probabilistic AI and Deterministic Execution with the Context Graph
Most banking AI dies between demo and deployment. This session shows you why, and how to break past it.
- Structural Mismatch: AI works in probabilities. Banking runs on deterministic execution: fixed rules and tight controls. That mismatch is where every pilot stalls.
- The Context Graph: It bridges that mismatch. Learned from real execution, not SOPs, so your agents finally understand how banking really runs.
- Ownership & Governance: When AI starts to execute real work, accountability shifts. This session maps the new ownership and governance model every banking CIO now needs.
Meet Skan AI | Booth 43
The Foundation Your Banking AI Is Missing
Every bank runs on two versions of itself. One is the SOP route, but nobody on your team actually works that way. They work around it every day. That invisible gap kills every AI agent you try to scale. Your agents memorized the SOP. But who taught them the workarounds?
Skan AI sees how your teams actually work: every click, every handoff, every workaround. That reality is the foundation your AI agents need to scale into production.
FAQs
Why do banking AI agents fail in production?
How is process intelligence different from process mining?
Process mining reads event logs from individual systems, which misses most of real work. Skan AI's process intelligence observes work directly at the desktop, across every application, without integrations. That depth captures the reality your AI agents actually need.
Is Skan AI safe to run on banking desktops?
Yes, Skan AI is privacy-first by design. It captures process patterns, not personal data or screen content, and runs inside your compliance perimeter. We align with GDPR, FCA, AML, and KYC requirements, which is why global banks trust us.
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