[ Case study ]
Line workers needed machine settings, safety procedures, and spec tolerances from a 400-page PDF handbook that lived on a shared drive. New hires asked supervisors, supervisors stopped what they were doing, and the answers were sometimes out-of-date revisions.
CLIENT a precision-components manufacturer — FOCUS Ingest by revision, cite by revision
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Precision components leave this factory only when the machine settings, tolerances, and safety procedures behind them were exactly right, and all of that lives in a 400-page handbook maintained by the engineering office. The handbook is authoritative, current, and almost unreadable at the point of need — a shared drive PDF consulted between machine cycles, on shared tablets, wearing gloves. Supervisors are the de facto interface: new hires ask them, and the best of them carry the common answers in their heads.
Line workers needed machine settings, safety procedures, and spec tolerances from a 400-page PDF handbook that lived on a shared drive. New hires asked supervisors, supervisors stopped what they were doing, and the answers were sometimes out-of-date revisions.
We proposed an assistant grounded in the handbook itself, indexed per revision so every answer cites which revision it read from — a superseded answer is visibly stale, which matters more than fluency in a factory. The interface is one search box, large text, and read-aloud for the noisy bays, designed on the shop floor with gloves on. The quarterly update becomes a checklist: ingest the new PDF, run the 30-question eval set, review the drift report, go live. Nothing replaced the handbook; it finally became consultable at the moment of need.
Just as important is what we ruled out, and why:
The handbook is indexed per revision; every answer states which revision it read from, so a superseded answer is visibly stale.
One search box, large-text answers, read-aloud for noisy areas — designed on the shop floor, not in a meeting room.
A revision checklist ingests the new PDF, runs the eval set (30 known questions with expected answers), and flags drift before go-live.
Delivered by the systems pod — automation specialist over 6 weeks, with working increments reviewed with the client every week.
Obstacle
Revision headers were prose, not structured fields — 'revised March, supersedes earlier' — so the first ingestion indexed answers without revision numbers and the pilot quietly quoted superseded settings.
Handled: We re-ingested with structured header parsing, added a header-presence check to the quarterly checklist, and re-ran the eval set to confirm every answer cites a revision.
Obstacle
The shared tablets' browser cached aggressively, and the first week saw two tablets serving the previous quarter's interface after the update.
Handled: The quarterly checklist gained a cache-clearing step with a visible build stamp, so any device serving stale content identifies itself immediately.
The headline: average time to find a procedure or spec, observed across 50 shift interactions — 6.5 → 1.5 min, read from Supervisor time study. A second check: answers served from superseded revisions since launch at 0.
Supervisors got their mornings back — the constant interruptions thinned out, and the questions that do reach them are the ones genuinely needing judgment. New hires stopped apologizing for asking, because the tablet never makes them feel like a burden. The engineering office trusts the answers because every one carries its revision, and the quarterly update has become a checklist afternoon instead of a re-launch. Two supervisors now flag handbook sections they think need rewriting, and the afternoon-long stoppage a rare procedure used to cause hasn't happened since launch — the engineering office mentions it before we do.
The result was read from Supervisor time study against the pre-engagement baseline over the stated window, with a guardrail check on answers served from superseded revisions since launch. Where platform-reported numbers and business outcomes differ, this record says which layer it is quoting.
What we would do differently
We would have digitized the revision headers properly at ingest — the first week's answers cited revision dates in prose because the headers weren't structured.
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