Every CRO proposal now mentions artificial intelligence. The question for sponsors is not whether a CRO uses AI, but whether that AI will make a measurable difference on your specific study. Answering that requires asking better questions during CRO selection than most sponsors currently ask.
Having sat on both sides of the bid defense table, I can tell you that AI slides are often built by marketing teams, not operations teams. The capability may be real in one business unit, one region or one pilot. Your study may never touch it.
Why AI claims are hard to evaluate
AI in a CRO can mean many things: an enterprise analytics platform, a vendor tool licensed from a third party, a machine learning model built in-house, or a generative AI assistant used by staff to draft documents. These have very different maturity levels and very different implications for your trial.
Proposals rarely distinguish between them. They also rarely say whether the capability is included in the quoted budget or will surface later as a change order.
What questions should sponsors ask a CRO about AI?
Bring these to the bid defense:
Where exactly will AI touch my study? Ask for a list of activities by functional area, not a platform overview.
Is it standard or optional? Confirm whether the tool is part of the base service or an add-on with separate pricing.
Who on my team will use it? Ask the proposed project manager and lead CRA to describe how they use it day to day. Their answer tells you more than the slide.
What evidence do you have? Request outcome data from comparable studies: cycle times, query rates, enrollment prediction accuracy.
How is it validated and controlled? Ask about validation documentation, change control and how model updates are communicated to sponsors.
What happens to my data? Clarify whether your study data will be used to train models that benefit other clients.
Weight capability by fit, not by sophistication
The most advanced AI platform is not automatically the best choice for a Phase 1 study with twelve sites. Fit-for-purpose CRO selection means matching capability to need. A small, focused CRO with disciplined processes and modest automation may outperform a global CRO whose AI tools are built for 200-site programs.
Build AI into your selection scorecard as one criterion among several, and weight it according to where it would actually move outcomes for your study. For a rare disease program, predictive recruitment analytics may matter a great deal. For a straightforward healthy volunteer study, it may barely register.
Watch the gap between proposal and contract
One of the most common gaps I see is between what a CRO proposes and what ends up in the contract. If AI capability is part of why you selected a CRO, write it into the scope of work with defined deliverables and performance expectations. Otherwise it is a promise without a mechanism.
The goal is not to be skeptical of AI. It is to be precise about it.
ABRA Clinical Consulting supports sponsors through CRO and vendor selection, from RFP design through bid defense and contracting.
