💣 Making any process agentic requires more than traditional orchestration.
BPMN answers what's next step and activity to execute.
It is prescriptive and is built for humans.
⭕ Every path still has to be authored in advance as a fixed graph,
⭕ The decisions concept are external calls bolted onto it, not native to it.
⭕ Execution is leaner and predetermined by gates based on the hard condition.
An AI agent needs to reason its way to a next action, not hunt for a predrawn branch that matches its situation.
AI Agents plan, make decisions, and take actions.
If we are to prescribed every step it becomes a very expensive script like RPA!
Their orchestration should be
✔️ Event-driven
✔️ Durable and long-running
✔️ Adaptive to learn in real-time
✔️ Aware of upstream and downstream
✔️ Multi-actor for AI, Humans and Systems
✔️ Enabling them to have their agency as an agent
✔️ Govern, control and judge them based on the outcome quality
That's what Continuous Decision Model is for.
Then continuum of decision-making. When decisions aren't one-and-done.
An adaptive, connected and optimized in real time.
Learn more at https://lnkd.in/eey4H_rN
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Published August 14th, 2026 at 07:30 am
