Skip to content
All articles

Where AI agents fit in operational planning

Field Note1 min read
  • agentic-ai
  • retail-operations
  • governance

Define useful assistance, boundaries, and human approval before automating a workflow.

Concept illustration of retail spaces and digital twin planning
Concept illustration / exploring the spatial context of a retail store

Give the agent a bounded task

Start with a task such as identifying candidate layouts that meet documented constraints. Provide the inputs, objective, allowed actions, and expected output. Avoid broad instructions to optimize everything at once.

Separate recommendations from execution

Require an operator to review the proposed change and its assumptions before it affects a live process. Identify who can approve it, what systems it touches, and how to undo it. Confirm the available controls for your deployment with the team.

Review failures as well as successes

Use examples with missing data, conflicting rules, and infeasible layouts. Check whether the workflow explains uncertainty and escalates exceptions. Keep an audit of inputs, recommendations, approvals, and the final operational result.