The workshop · Operations intelligence

Software that reads the night shift.

For companies whose reality lives in chat groups and self reported trackers. This is the system I built and run in production, anonymized.

The problem

Service operations run on self reported trackers and thousand message chat groups. People rate their own projects healthy. Payments arrive and never get logged. Clients go silent and nobody counts the days. The truth is in the chats, and nobody has time to read them.

The system

A nightly pipeline reads every client and vendor conversation across the portfolio. Facts are extracted once, at ingestion, into plain database rows, so the morning dashboard opens instantly and never calls a model just to load a page.

A second model audits the first one's output against every source and raises what a human reviewer would miss. Every fact carries a link to the exact message it came from. And a project with zero client messages is forced to unknown sentiment; the system is not allowed to guess.

Inside the build

ops · morning brief synthetic data

Project Lantern

Udaipur · 14 March

62

health

sentiment · guarded collection · 38% silence · 6 days open asks · 4

ranked actions

Revised decor quote requested, unanswered 2 days ⌾ msg 412
Advance received, not logged in the tracker ⌾ msg 397
Confirm garland vendor by Friday ⌾ msg 388

compiled 03:16 · every fact cited

audit · cross source flags synthetic data
Tracker says healthy · chat says reassessing high
Value unchanged after a scope cut medium

2 flags · routed to a human

What it caught

Flag · tracker vs reality

Project rated fully healthy in the tracker. The chat shows the client actively reassessing the engagement.

surfaced by cross source audit

Flag · finance

Payment received weeks ago, never logged as collected. The books said zero.

chat evidence linked · corrected same day

Flag · silence

Client silent 68 days with 11 decisions pending. A recovery play was prescribed in the morning brief.

computed from raw timestamps, not memory

Representative recreations · details redacted

87
projects, nightly
147
flags, first audit run
$14
a night, full sweep
0
model calls to load a page

The engagement

  1. Map the sources. Chats, trackers, sheets, wherever your operation actually lives.
  2. Benchmark models on your real cases, judged blind, so the cheapest model that passes earns each job.
  3. Ship the nightly loop with guardrails in code and a receipt on every claim.
  4. Add the audit layer, measure its precision honestly, and hand over the keys.

Have an operation like this?