💣 Agentic AI requires orchestration that is durable and event-driven.
Most AI systems today follow a simple pattern:
Input → Model → Output → Done.
Agents do not work like that.
Agents act.
They observe results.
They wait for events.
They update context.
Then they act again.
✨ That loop may take minutes or hours. Most of the time it spans days or weeks.
Which means the system must be able to pause, keep its state, and resume when the next event arrives.
And those events come from the real world.
A customer clicks an offer.
A payment is confirmed.
A document is uploaded.
A shipment status changes.
A customer sends feedback.
A human approves a request.
The next step is not triggered by the workflow or process itself.
It is triggered by an event.
Most orchestration systems are designed for pipelines that start and complete.
🚀 Agentic AI needs orchestration that is durable and event-driven to support long-running decision cycles.
👉 Read more about the multi-actor model where AI, human and systems make decisions over time.
https://lnkd.in/gBMPmr5P
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Published March 10th, 2026 at 07:30 am
