Clinical research sites routinely lose revenue they rightfully earned—not from poor science, but from a fragmented flow of funds. Budgets, contracts, protocols, and financial activity are siloed, rarely reconciled, and nearly impossible to monitor in real time. This session introduces a practical end-to-end cost recovery framework that treats artificial intelligence (AI) as a budget reconciliation engine: systematically comparing what the institution agreed to do, what the sponsor agreed to pay, what the site expected to spend, and what actually occurred.

Attendees will map the most common failure points in the revenue lifecycle, examine where reconciliation typically breaks down, and leave with actionable strategies they can implement immediately. Particular attention will be given to scalable and equitable approaches that serve institutions of all sizes, ensuring that stronger financial infrastructure translates directly into reinvestment in the research mission.

CEU: 1.0 ACRP

Speaker:

• Shreya Singh, Senior Associate, Huron Consulting Group

• Eric Tomasini, Managing Director, Clinical Research Solution Leader, Huron Consulting Group