Finding the knowledge projects need
Technical services firm
Make validated knowledge accessible without depending on a few experts.
The firm, which has 70 employees, had fifteen years of project files. Its 45 professionals were looking for approved clauses, lessons learned and deliverable templates, and answers often depended on two experienced people.
Approach
- 01
Frame
The director wanted to reduce search time and speed up the preparation of deliverables. The project was limited to approved documents; each professional remains responsible for what they reuse.
- 02
Investigate
I measured the searches of twelve team members and checked versions, access rights and duplicates, distinguishing a document that was hard to find from information that had never been recorded.
- 03
Explain
Two causes were compared: poor filing, or knowledge held only by experts. An assistant could address the first problem; the second required interviews and validated documentation.
- 04
Build
We compared the existing search engine, a reorganized library and an assistant that cites the passages it uses. The status quo included the time spent with experts.
- 05
Test
Eight users tested 180 questions over four weeks. The thresholds were 95% of answers accurate, sourced and up to date, and 30% time saved. A first pass failed because of outdated versions; after cleanup, 174 of 180 answers met the criteria and search time fell by 35%.
- 06
Decide
The director released $30,000, including $8,000 for strategy. Assisted search started on a limited document collection. A document manager keeps the updates current and checks access rights.
- 07
Steer
The firm tracks search time, source validity and the additional hours actually billed to clients. Added availability with no client demand is recorded as capacity, with no associated revenue.
Test results
What AI contributed
AI helped me spot duplicates and prepare the evaluation questions. The internal assistant finds passages, cites their version and flags questions with no documented answer.
Business model (projection)
The projection assumes that 600 freed-up hours become additional services sold, at $95 of contribution per hour after variable costs, or $57,000. This conversion depends on available work. The prudent scenario assumes 300 hours sold.
| Initial investment | $30,000 CAD |
|---|---|
| Annual gains | $57,000 CAD |
| Costs to subtract | $12,000 CAD |
| Net annual gain | $45,000 CAD |
| Simple payback | 8 months (at steady state) |
| Prudent scenario | $16,500 CAD net, payback in 21.8 months |
Annual projection built from the results of the engagement. It is not a guarantee of performance.
A comparable challenge?
Describe the decision to make and the data available. I will suggest an approach to prepare it and the evidence to gather before deciding.
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