Insights
Worked scenarios.
The decision that was failing, the intervention, and how it was measured. Each one is built on a synthetic dataset and labelled as such.
About these scenarios
Each of the six below is a worked demonstration on a synthetic dataset. The figures are modelled — they show how the operating model behaves, not any client’s results. More on how we label our work →
Medical information
Bringing medical information response back inside SLA
Structured inquiry logging plus explicit SLA targets took on-time response to 91% and closed two recurring clusters at source.
Read the full scenario → Illustrative scenarioField insights
Turning field conversations into decisions you can trace
A controlled taxonomy and a monthly synthesis council resolved 48 free-text insights into 4 validated themes.
Read the full scenario → Illustrative scenarioEvidence strategy
Ranking evidence gaps before funding studies
Twenty-two competing study ideas reduced to six ranked gaps and ten scored concepts — three advanced.
Read the full scenario → Illustrative scenarioPublications
Catching publication slippage ten weeks earlier
Dependency-based planning surfaced critical-path slippage ten weeks before the milestone would have been missed.
Read the full scenario → Illustrative scenarioGovernance
Scoring launch readiness without losing the audit trail
A six-domain scorecard with evidence links moved readiness from 61% to 82%.
Read the full scenario → Illustrative scenarioOperations
Moving $420K from vendor spend to evidence gaps
Remapping spend from vendor to objective moved $420K into evidence, content and field capability.
Read the full scenario →Connect with an expert
Tell us where AI is stalling in your Medical Affairs organisation, and we’ll come back with a concrete view of what a governed approach would look like.