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AI Operations Assistant

Ask the operation a question. Get an answer you can verify.

The assistant explains conditions and proposes practical next steps. It starts in advisory mode: your leaders keep authority over every operational decision.

Example questions

Every answer follows the same structure.

  1. Observed facts, with timestamps
  2. Possible explanations
  3. Proposed actions
  4. Constraints and missing information
  5. Next checkpoint or review time

The conversation on this page is scripted against synthetic data to show the format. It is not a live model response.

Operations AssistantScripted example
Why is Pick falling behind?

Observed facts

  • Pick is at 66,200 units vs. 72,600 expected by 11:30 (91% of pace).
  • Pick has 84 of 92 planned associates since 10:40.
  • Conveyor C2 jam logged 10:52–11:14 in the Pick barrier record.

Possible explanations

  • The staffing gap and the C2 jam overlap in time; either may explain part of the gap.
  • The records show timing, not cause. Correlation alone does not establish which factor mattered more.

Proposed actions

  • Review the two eligible Pack associates for a temporary move (Pack stays above its minimum).
  • Ask maintenance to confirm C2 is clear and record the resolution time.

Constraints & missing information

  • Rate data for the moved associates in Pick is not available yet.
  • One Pick-qualified associate is on a training hold and is excluded.

Next checkpoint

Recheck Pick pace at 12:30 using the next production reading.

Scripted against synthetic sample data. In the product, answers cite records your role can access, and nothing is changed without human approval.

Principles

Built to be useful on the floor, and honest about what it knows.

Evidence first

Answers cite the readings, issues, and timestamps they rely on, from records your role can access.

Operational memory

Recalls previous similar issues, the actions taken, and measured outcomes, or says that none were measured.

Facts vs. explanations

Observed facts are kept apart from possible explanations. Correlation is never presented as cause.

Human approval

The assistant proposes. It does not move workers, send staffing messages, or offer extra time.

Constraints stated

Missing data, stale feeds, training holds, and coverage minimums are named in the answer.

Server-side only

Model calls and credentials stay on the server. Conversations are saved with organization, facility, and shift context.

What it will not do

Guardrails

The assistant will notInstead it
Invent workers, qualifications, or readingsUses only records in your workspace and says what is missing
Claim a move happened when it was approvedShows reservation and arrival as separate states
Report productivity gains or savings without measurementKeeps outcomes pending until before-and-after readings exist
Change a live plan from a scenarioCompares what-if scenarios separately in the Scenario Lab
RUN YOUR WAREHOUSE FROM ONE COMMAND CENTER

See Shift Command against your operation.

Walk through a synthetic shift, then talk through your data sources and a practical path to a trial.