Not All AI Is Ready for Pharma. Here’s How to Tell the Difference.

The rush to integrate AI into pharma workflows — from commercial to medical — has created a flood of vendor claims:

“Predictive insights.” “Patient-level triggers.” “End-to-end platforms.”

But how do you separate the truly clinically grounded, compliant, and scalable AI solutions… from the ones that just look good in a demo?

We built an AI Evaluation Guide to help pharma teams ask sharper questions, avoid vendor regret, and choose partners who can actually deliver on impact. 

What’s Inside:

The guide covers 7 essential areas every commercial or medical team should evaluate:

1. Clinical Data Depth – Does the AI go beyond codes and claims into real patient context?
   
   
2. Patient Identification & Triggers – Can it support real-world segmentation and activation?
   
   
3. AI Methodology & Transparency – Is the model explainable, validated, and fit-for-purpose?
   
   
4. Compliance & Privacy – Will it pass MLR, legal, and privacy review — or cause delays?
   
   
5. Workflow & Integration – Does it plug into real-world pharma workflows (e.g., CRM, field)?
   
   
6. Measurement & Outcomes – Can it track performance, ROI, or real-world evidence?
   
   
7. Differentiators That Matter – What truly sets this vendor apart?
   
   

Each section includes:

• A scoring framework
• Key RFP questions to ask
•  “Why this matters” — for medical, brand, legal, and IT leads
  
  

Who Should Download:

• Brand leads designing AI-powered HCP or patient campaigns
• Medical & HEOR teams exploring AI-driven RWE or trial acceleration
• Procurement teams sourcing data and tech vendors with real-world capabilities
• MLR reviewers or legal teams tasked with compliance and risk
  
  

Why It Matters Now:

The cost of choosing the wrong AI vendor isn’t just wasted budget — it’s:

• Delays in MLR
• Incomplete data capture
• Poor HCP or patient engagement
• Compliance exposure
  
  

Why Unite? 

• AI platform built out of the RISELab, UC Berkeley 
• Partnerships with various leading pharma companies on medical and commercial use-cases
• Deep expertise successfully navigating pharma regulatory, legal and compliance process 

This guide helps you avoid all that.

Access the AI RFP Evaluation Guide
Ask smarter questions. Back better solutions.

Get the Guide Here

‍