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AI that moves at velocity: Cut through latency with agentic workflows

Plan on the signal, not the calendar

Why does planning fall behind the moment it's approved?

Weekly cycles were built for a stable world, but demand, supply, and financials now shift hourly. By the time a decision clears the S&OP process, the conditions that shaped it have already changed, so the plan ends up ratifying history instead of guiding what happens next. That's a velocity problem, not a data problem.

The goal is to shorten the distance between a signal and a response, so teams can act on real time conditions instead of waiting for the next cycle to catch up.

AI that moves at velocity: Cut through latency with agentic workflows

Agentic workflows: closing the gap between signal and decision

There is a different approach. Instead of adding more dashboards or more pilots, the work is to catch every signal and act on real time conditions, not to touch every dial. Zero100 calls these Power Threads: end-to-end paths like Signal-to-Plan that connect what changes on the ground to what the plan does next, anchored to outcomes leadership already owns. Most AI use cases never get past the pilot stage. The organizations that break through are the ones that tie AI to these threads instead of chasing isolated experiments, and that keep planners in the loop with visibility into why a recommendation was made.

 

What you'll learn

  • Why planning cycles built for a stable world can't keep pace with real-time volatility
  • What Power Threads are and why they're what separates AI pilots from AI at scale
  • How Signal-to-Plan and Inventory-to-Service work in practice, with examples from consumer goods and pharma
  • What it takes to scale agentic workflows: fusion teams, org readiness, and governance, and the barriers most companies underestimate
  • Why transparency is what turns an AI recommendation into something planners actually act on

 

Hear it from the people building it

Lauren Acoba (Zero100), Philip Vervloesem and Lachelle Buchanan (OMP), and Jake Barr and Scott W. Luton (Supply Chain Now) break down what it takes to move planning from periodic to continuous, and what actually changes for the process, the people, and the results. You'll see how OMP's UnisonIQ and Unison Companion surface the reasoning behind a recommendation, so planners stay in the driver's seat instead of guessing why the system suggested it.