Context
Engineering teams were spending meaningful time on repetitive workflow steps where assisted tooling could provide a measurable lift if introduced responsibly.
Challenge
Adopt AI assistance in ways that improved engineering throughput while preserving review discipline, quality standards and human accountability.
Wilson's contribution
- Identified practical engineering use cases for AI assistance.
- Guided responsible adoption across teams.
- Connected AI usage with existing delivery workflows.
- Encouraged human oversight and measurable outcomes.
Approach
Started with workflows where the value was clearly measurable, paired adoption with light governance and treated learning loops as part of the rollout, not a separate phase.
Outcome
- Contributed to a 30% productivity improvement.
- Supported a 25% increase in sprint delivery speed.
- Established a more confident, more curious posture toward AI tooling across the team.