Clinical Finance AI Agent: Get the "why" behind the numbers, in seconds
See how Condor's newly launched Clinical Finance AI Agent explains a forecast variance in seconds, then builds the what-if scenario for you.
Summary
Every clinical trial runs on financial infrastructure that is still largely manual. When forecast and actuals diverge, FP&A and clinical operations teams lose hours – often days – reconciling data across ERPs, CTMS, EDC systems, and spreadsheets just to understand what moved.
Condor's new Clinical Finance AI Agent reasons across your full budget and forecast history to answer that question in seconds. It also runs full what-if scenario planning – site mix, enrollment timing, investment shifts – and builds the resulting model directly in Condor, powered by the same knowledge graph and deterministic math layer developed with the Big 4 accounting firms.
Join Nim Fox (VP, Product) and Jeff Jahnke (Director, Customer Operations) for a live walkthrough.
What you'll see:
- How the agent identifies what's driving a variance between actuals and forecast — in seconds, not hours
- A live cost-to-complete forecast: "What will it cost to complete enrollment?"
- Site-risk analysis in action: "Which sites in this trial are falling behind, and what does that mean for my budget, timeline, and enrollment?"
- Change order root-cause tracing: "Why did my change order increase?"
- What-if scenarios built in the platform, not rebuilt by hand in Excel
- A deep dive on Condor's soon-to-be-released AI agents
- Live Q&A
Register for the webinar
Watch on-demand
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Catch Investigator Grant Discrepancies, Budget Drift, and Accrual Risk with AI
Watch the on-demand session to see how AI can catch investigator grant and site invoice discrepancies, surface sites spending ahead of or behind plan, and flag accrual and forecast risks before period-end.
