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Agentic AI: The new orchestration layer
Agentic AI is becoming the interface across platforms, spanning systems, reacting dynamically and orchestrating work in real time. It can rebalance supply chains, generate personalized offers and even close financial processes.
Example: Lenovo used Adobe Experience Platform and Microsoft Copilot to orchestrate AI across marketing, customer service and internal workflows. The effort delivered $11 million in efficiency savings and a 12.5% boost in click-through rates—speeding execution and enabling new forms of engagement at scale.
Intelligence drift
When teams use disconnected AI tools, proprietary knowledge escapes into public models while institutional insights get trapped in silos. 68% of organizations cite data fragmentation as their top data management concern — and only 12% report having data of sufficient quality to support effective AI.
Shadow AI exposure
Employees fill workflow gaps with personal tools, and most organizations have no idea it's happening. Shadow AI incidents now account for 20% of all data breaches — and carry an average cost premium of $4.63M compared to standard incidents. The average enterprise unknowingly hosts 1,200 unofficial applications.
Pilot purgatory
The ideas are good. The pilots are promising. They just never make it to production. The average organization scrapped 46% of its AI proof-of-concepts in 2025. AI projects fail at twice the rate of non-AI technology projects. That number isn't improving on its own.
