From Orchestration to AI-Enabled Intelligence: The Next Era of R&D Operations

Are you getting meaningful intelligence out of your R&D outsourcing data — or just more visibility into the same fragmentation?

For the past decade, the industry made real progress operationalizing outsourced R&D. Teams centralized requests, standardized supplier interactions, and gained workflow visibility they'd never had before. That progress was meaningful. But visibility doesn't tell you whether you selected the right supplier, negotiated competitive pricing, or structured your work effectively.

The natural next step has been AI. The challenge: most AI initiatives in R&D operations are hitting a wall — not because the models aren't good enough, but because the underlying data was never structured in the first place.

Join Monica Tan (SVP Product & Design) and Chris Zan (SVP Operations) for a candid conversation about what intelligent infrastructure for science looks like and the use cases already running in production today.