Case Studies
Anonymized delivery outcomes
Scrubbed engagement results from AI adoption and delivery work - challenge, intervention, measurement, and what changed. No client names.
Production AI Adoption Case
Licensed AI tools were available, but usage and measurable impact varied. A structured adoption program lifted completed comparable work items across a 9-team organization.
Outcome: 14% - 30% more completed comparable work items per person over a defined baseline period.
- 9-team
- Organization
- 10-month
- Measurement period
- 14% - 30%
- Productivity improvement
Results varied by team, workflow and adoption maturity.
AI Test Automation Workflow
A delivery team used AI assistants inside an agreed unit and e2e testing workflow so coverage grew without inventing a parallel process.
Outcome: roughly 20% less time to create tests, plus a reusable playbook
- Unit + e2e
- Test layers
- Same tasks
- Comparison
- ~20%
- Faster test creation
AI Second Brain Assistant
An LLM-maintained markdown wiki turned scattered notes and sources into a personal intelligent assistant - searchable concepts, not chat history archaeology.
Outcome: faster time-to-answer via a linked wiki with source citations
- Wiki
- Knowledge shape
- Before / after
- Comparison
- Faster reuse
- Time-to-answer
Team Performance Monitoring
Leaders needed a small, honest scorecard for delivery health - flow and outcome signals without turning metrics into individual ranking theater.
Outcome: earlier blocker and trend signals via a shared team scorecard
- Team-level
- Scorecard scope
- Weekly
- Review cadence
- Earlier signals
- Delivery health
From AI licenses to measurable impact
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