The regulatory constraint
Placements were screened on where generative tooling may not touch submission-bound content in a GxP environment.
How we work in this industrySituation
AI tooling was already embedded in the development workflow, but contractors arrived without a working model for where AI belonged in a validated environment and where it did not. Ramp time averaged 7.5 weeks.
Two prior placements had used generative tooling on documentation destined for a regulated submission, triggering a quality review that cost the program three weeks.
Approach
Every placement educated on the Perpetual Change Imperative framework before day one, as the baseline rather than a premium tier.
Screening weighted toward verification habits and judgment about where AI should not be used — including a scenario exercise drawn from the client's own GxP constraints.
One standard applied across contract, contract-to-hire and permanent placements, with quarterly recalibration against the client's evolving tooling.
What we built
- A blended PMO and engineering bench of 23 professionals operating on a shared AI-readiness standard.
- Consistent review and verification practices documented and adopted by the client's own FTEs.
- A warm pipeline aligned to the systems the client's delivery teams actually run.
“They arrived already knowing which decisions we would not hand to a model. That used to take us a quarter to teach, and we did not always get it right.”
Head of Delivery, Clinical Systems — global life sciences firm