AI as a Layer: The Four-Layer Pattern That Finally Makes AI Useful | Kinetic Data
Summary
The article presents a four-layer pattern—Experience, Orchestration, Core Systems, and AI—as a way to make AI useful across the enterprise without locking it inside a single BPM vendor. It argues that treating AI as an independent layer enables cross-platform decisions, reduces duplicate spend, and avoids vendor lock-in while preserving existing security and compliance controls. The piece gives practical steps to start: pick one multi-system flow, map steps and data touchpoints, decouple shared fields, and add a focused AI Play (recommend, detect, forecast, or classify & route). It emphasizes measuring adoption, cycle time, change cost, and exception rate and warns against big-bang implementations or chasing specific models instead of focusing on where AI sits and how it shows up for users.
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