Catch Investigator Grant Discrepancies, Budget Drift, and Accrual Risk with AI

Investigator grants are one of the most complex and manual areas of clinical finance. Site invoices, visit schedules, protocol amendments, and actual study activity often sit across different systems, making it difficult for Clinical Operations and Finance to know whether sites are being paid accurately and whether spend is tracking to plan.

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In this session, Condor’s Director of Customer Operations, Jeff Jahnke, and VP of Product, Nim Fox, will show how AI can help teams quickly identify:

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• Investigator grant and site invoice discrepancies
• Sites spending ahead of or behind plan
• Charges that don’t align with expected visit activity
• The financial impact of protocol amendments
• Accrual and forecast risks before period-end

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You’ll see what generic AI tools like Microsoft Copilot can do, and where purpose-built AI can go further by understanding your actual visit costs, protocol terms, payment schedules, and study activity.

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We’ll also preview our new Condor AI agent for investigator grants management, that gives Clinical Operations and Finance a more automated way to manage investigator grant reconciliation, monitor site spend, and surface anomalies before they become costly or time-consuming issues.

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You’ll walk away with a practical playbook for improving investigator grant oversight, reducing manual reconciliation, and giving Clinical Operations and Finance a shared view of site-level spend.

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This webinar is Part of Condor’s Practical Applications of AI in Clinical Finance series.