97% of executives deployed AI agents in the past year. Yet most teams still treat them like glorified chatbots. Here's how to think about the shift differently.
The AI industry just crossed a critical line: we moved from "models that answer" to "models that act."
A 3-Part Framework for Where Agents Are Headed
1. Passive layer — chatbots, copilots, Q&A tools. Most companies got comfortable here in 2024-2025. The model responds when prompted. Useful, but limited.
2. Orchestration layer — agents that chain multiple steps together. Think: an agent that reads your support ticket, pulls the customer's history, drafts a response, and flags billing issues. Companies like Camunda just launched ProcessOS to convert described outcomes into repeatable agentic workflows.
3. Autonomous layer — agents that own entire processes end-to-end. Blue Yonder is already deploying supply-chain agents (built with NVIDIA) that execute multi-step logistics workflows without human checkpoints.
The Real Unlock
The mistake most PMs make? Building for layer 1 when your infrastructure can support layer 2.
The unlock is not better prompts. It's better process decomposition — breaking workflows into discrete, verifiable steps an agent can own.
"If you're a PM scoping an AI feature right now, ask yourself: am I building a tool that answers, or a tool that acts? That distinction will define the next generation of products."