R&D discovery-informatics program
Regulatory/QA is the gate; bench-scientist trust is the adoption you can't mandate.
Open the live lab · pre-loaded to this scenario
Stakeholder & Sponsor Cockpit
Context
An AI program in drug-discovery informatics. Two alignment axes decide it: GxP/validation sign-off from Regulatory-QA (a hard gate), and the trust of bench scientists who will simply ignore a tool they don't believe.
The decision
Two gates, not one: the Regulatory-QA validation gate is formal and the bench-scientist trust gate is informal — miss either and the program is shelved regardless of model quality.
What most miss
Teams optimize for the sponsor and forget scientists can't be ordered to trust a model. In R&D, informal adoption authority outweighs org power — the bench decides in practice.
Stakes
Win Regulatory but lose the bench and the tool ships to an empty room; win the bench but skip validation and it never ships.
Studied · Engagement Leadership · verified 2026-07-03
Sources: Pharma R&D informatics — stakeholder mapping (studied); GxP validation and bench-adoption dynamics