Rebate operations in life sciences industry are complex — involving multiple stakeholders, compliance requirements, pricing structures, and high financial risk.
Traditional systems rely heavily on manual monitoring and reactive decisions, but what if your rebate system could flag risks automatically with simulation process, evaluate trends, and generate compliance summaries?
In this webinar, we will explore how AI agents can be used to run simulations on rebate calculations and reshape rebate governance by enabling intelligent decision-making and proactive compliance monitoring.
During this session, you’ll learn:
- What AI Agent is and how it differs from traditional AI & automation
- AI Agent – Rebate simulations
- AI-driven compliance and risk mitigation
- Real-world enterprise use cases and outcomes
Key Takeaway:
Discover how AI Agents are transforming rebate operations by enabling systems that autonomously run rebate simulations, monitor, detect risks, and recommend corrective actions in real time.
About the Presenters:
Sreeni Aluri:
Sreeni Aluri is a seasoned technology leader with 20+ years of experience driving digital transformation in life sciences and manufacturing. He specializes in AI-powered automation, compliance frameworks, and large-scale system integrations that simplify complex processes and deliver measurable business impact. With deep domain expertise in rebate, pricing, and contract management, Sreeni has helped organizations strengthen compliance, improve operational efficiency, and unlock real-time business visibility.
Venkat Yerramsetti:
Venkat is a seasoned technology leader with 15+ years of experience driving digital transformation in life sciences and manufacturing.