Case studies
Selected engagements.
Three engagements. Each one followed our methodology — audit first, build the right thing, save the client money. Client names withheld.
The audit reframed the brief from “find more” to “lose fewer.”
A 30-attorney IP firm asked us to automate opportunity discovery. The audit found they were already finding opportunities — 300+ daily alerts per associate were going unopened. We shipped a monitoring agent that ranks alerts by client relevance, then a drafting layer for the quarterly opportunity reports.
- Client
- 30-attorney IP firm
- Engagement
- $25,000 · 2 phases
- Timeline
- 10 weeks
- Outcome
- Drafting time cut from 6 hrs to 1.5 hrs / client / quarter
Saved a failed AI launch by sequencing the rebuild.
A mid-sized UK university came in wanting AI essay grading. The audit established that grading wasn’t the root issue — fragmented submission intake and inconsistent faculty rubrics were. AI deployed on that foundation would have been unreliable. We sequenced two foundation phases first; AI grading is now a credible Phase 3.
- Client
- ~7,000 undergraduates, essay-heavy
- Engagement
- $36,000 · 2 of 3 phases shipped
- Timeline
- 13 weeks
- Outcome
- Submission and rubric foundations live; Phase 3 unlocked
Surfaced a 30% exception miss-rate that wasn’t in the dashboards.
A 60-employee freight forwarder asked us to automate a slow exception-handling pipeline. The audit revealed the firm was tracking exceptions that got escalated, not exceptions that went missing entirely. The most expensive exceptions were the ones never logged. We shipped a monitoring agent across all 7 carrier feeds and a structured triage classifier.
- Client
- 60-employee freight forwarder
- Engagement
- $24,000 · 2 phases
- Timeline
- 11 weeks
- Outcome
- Triage delay cut from 2.5 hrs to <15 min on routine cases
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