The AI Innovation Circle for Life Sciences | Episode 8

Measuring AI Economics & ROI: Scaling Enterprise AI That Delivers Business Value

How do you justify, measure and scale investments?

AI is rapidly moving from experimentation to enterprise-wide adoption, creating new opportunities to improve productivity, reduce costs, accelerate decision-making and mitigate risk. However, as AI investments grow, organizations must develop clear frameworks for measuring business value, prioritizing initiatives and supporting resources that are allocated to the highest-impact opportunities.

This workshop explores the economics of enterprise AI, including tokenization costs, hard-dollar ROI, value realization and portfolio-level governance. Participants will examine practical approaches for scaling successful pilots into production programs while measuring outcomes across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial functions. The session will focus on helping leaders connect AI investments to measurable business results and sustainable organizational value.

Browse All Episodes

Date: May 26, 2027

Time: 3:00 p.m. ET

Audience: Senior Leaders Across R&D, Clinical Development, Regulatory Affairs, Medical Affairs, Data & AI and Information Management

Key takeaways

Measure AI by Business Outcomes, Not Technical Metrics
Learn how leading organizations evaluate AI initiatives based on hard-dollar ROI, productivity gains, risk reduction and measurable business impact rather than model accuracy alone
Build a Scalable Economics Framework for Enterprise AI
Understand the impact of tokenization costs, infrastructure investments, governance requirements and operational efficiency when moving AI from pilots to production
Prioritize and Govern AI Investments for Maximum Value
Discover how portfolio-level governance, investment prioritization and value realization frameworks help organizations focus resources on the AI initiatives that deliver the greatest return across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial functions

Episode 01 | July 14, 2026

The Foundational Workshop in an Enterprise AI Series

Join, Discuss & Learn

Join fellow Life Sciences, business, data and AI leaders for an interactive discussion on how to measure, justify and scale AI investments that deliver meaningful business outcomes. As organizations move beyond experimentation, success increasingly depends on understanding the economics of AI, identifying the highest-value opportunities and establishing frameworks that connect AI initiatives to measurable operational and financial results.

Learn how leading organizations evaluate hard-dollar ROI, manage tokenization and operational costs, prioritize investments and scale successful AI programs from pilot to enterprise adoption. Discuss practical approaches for value realization, portfolio-level governance and performance measurement across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial functions, supporting AI investments that generate sustainable business impact.