We’re moving from AI-assisted systems agentic systems that execute workflows.

A simple way to think about it:

Input → Decision → Action → Outcome

Instead of stopping at prediction or insight, the system:

interprets incoming data (APIs, docs, events)
makes context-aware decisions (rules + models)
triggers actions (updates, workflows, responses)
feeds outcomes back for improvement

This pattern is starting to replace a lot of manual orchestration in:

document processing
internal ops
request handling
decision workflows

The challenge isn’t building models anymore.
It’s designing systems that actually execute reliably at scale.

Curious how are you handling orchestration today?
Still human-in-the-loop heavy, or moving toward autonomous flows?