Blog posts
Compounding interest: Why “good enough” data is good enough for agentic AI
Let’s ask a trick question.
Do you think your organization’s data is ready for AI, or AI Agents?
Most sponsors and CROs instinctively answer “not yet.” What this really means is that they don’t believe their data isn’t fully centralized, dictionaries aren’t perfectly aligned, and too many systems still operate in parallel. The result is that AI gets parked on the roadmap, waiting for a future state where everything is clean, standardized, and coordinated.
Here’s the twist; waiting for that moment is very thing holding organizations back.
When it comes to implementing agentic AI, the bigger risk right now isn’t imperfect data. Instead, it’s waiting for perfection before acting.
Where does patient recruitment end and patient engagement begin?
It’s widely understood that patient recruitment is one of the most critical and yet most challenging aspects to a successful clinical trial. In fact, many trials fail to reach recruitment goals, with far-ranging implications for investigators, sponsors, study participants, and the population affected by the disease or condition under study.