A New Era of Enterprise AI  |  Announcing Skan AI's Agentic Automation Manifesto  |  LEARN MORE

Business Transformation World Summit 2026

Train Your Agents on Reality 

Generic AI breaks because it learns from SOP documents that miss how work actually happens, the hidden steps, exceptions, and nuances. Your agents break in production when they encounter real workflows with context switching and manual workarounds.

Skan AI's Observation-to-Agent platform captures how your team works across every application to build training data from reality. Deploy AI agents that understand your processes, not generic best practices, and continuously measure their impact.

Visit Skan AI's Booth at the event (#21).  Additionally, we invite you to join us for an evening of connection and conversation with fellow innovators at the forefront of agentic AI.

Dinner invitations are subject to approval.

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Our Session at BTWS 2026

From Human Agents to AI Agents: Bridging the Chasm with Process Intelligence

Moving into the new Agentic AI era requires a foundation most enterprises lack today. Our session gives you the framework to deploy agents that actually deliver massive business outcomes. 

You'll Learn: 

  • How to train agents on proven patterns, not theory, so they handle real complexity 
  • How to identify which tasks suit agents and which decisions require human judgment in operations 
  • The method to capture context switching, exceptions and workarounds that documentation misses completely 
  • How to measure agent impact against your business goals before you commit budget to scale 

 

 

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FAQs

What does Skan AI do for enterprise transformation?

Skan AI captures work across every application to reveal how teams actually operate. It builds foundational data that trains effective, context-aware AI agents. It helps leaders control outcomes with real operational truth.

What makes process context essential before I deploy AI agents?

Real work differs from the “happy path” in SOPs and system logs. Complete operational context reveals decisions, pauses, rework, and fixes that shape outcomes. AI agents need this detail to act safely at enterprise scale.

How does Skan AI support operational excellence goals?

It exposes bottlenecks and errors across end-to-end workflows. It reveals effective paths and the activities that slow teams down. It equips leaders to standardize, optimize, and control outcomes.

What problems does Skan AI solve that legacy tools cannot?

Legacy tools miss context switching, manual fixes, and off-system work. They rely on logs that ignore real user behavior and decisions. Skan AI captures the full trace of work for precise root-cause insight. 

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