The map of AI jobs across an organization

XY Space
WF-N02Industrial and engineering
T1 · Reads internalConfigured

Site report to client document

A field engineer's notes and photos, often shorthand and out of order, get structured into the report format a client actually expects. A project lead checks it against the original notes before anything is sent, since a misread reading is worse than a slow report.

How it runs

unclearconfident
Trigger
Site notes and photos uploadedShared drives and file stores
Extraction
Read the site notes and photosfield notes, timestamped photos
Triage
Structure into report sections
Rule
Confidence check on extracted readings
Branch
Flag unclear readings for the engineer
Human gate
Project lead review
Assemble report
Produce the client documentSharePoint
Outbound comms
Send the report to the clientMicrosoft 365 and Outlook
Outcome
Report sent
  • Trigger
  • Extraction
  • Triage
  • Rule
  • Branch
  • Human gate
  • Assemble report
  • Outbound comms
  • Outcome

What it could return

Time spent turning a field engineer's shorthand notes and photos into a client-ready site report.

$8,280per year, returned
259 hrsper year, back

A rough estimate until this is measured on your own numbers. Every input above is yours to change.

Systems touched

Agentic skills run

Where the human sits

The report doesn't reach a client's inbox unread. A project lead checks it against the engineer's original notes first.

Confidence floor 70% — anything under that holds for a person instead of guessing.

Knowledge produced

This one doesn't produce any knowledge for memory to pick up.

Where it fits

Industrial and engineering runs inside the commercial build. See the commercial build.

Where it sits

  1. 01The model
  2. 02Data
  3. 03Workflows
  4. 04Agentic skills
  5. 05Memory & knowledge
Workflows layer page