Case Studies Gated Case Study
Case Study
Mid-Pharma: 35% Faster Lock with 40% Lower DM Spend
Scaling biometrics throughput without growing headcount.
Case StudyMarch 2026Mid Pharma
About this case study
What's inside
Scaling biometrics throughput without growing headcount. This case study unpacks the operating model, governance choices, and measured outcomes behind a real customer deployment — written for teams evaluating similar engagements.
Key takeaways
What you'll learn
- The customer's pre-deployment baseline and target outcomes.
- How governance was structured before scaling the agentic workflow.
- Measured improvements in cycle time, cost recovery, and quality KPIs.
- Lessons learned, including what would be done differently in hindsight.
- A replicable blueprint for similar sponsor, CRO, or site-network teams.
About the author
Dr. Anika Rao
Head of Clinical AI, Maxis AI
Anika leads Maxis AI's clinical agent practice, working with sponsors and CROs on governed deployments across CDM, biometrics, and oversight.
Looking for AI Workforce for clinical trials?
Explore our AI Workforce Platform
See how AI agents are transforming study startup, data management, oversight, and regulatory submissions.