Asana CPO on Why Every Employee Is Now an AI Eval and What That Means for How Enterprises Actually Capture AI ROI

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Arnab Bose, Chief Product Officer at Asana. Asana is the work management platform built for human and AI collaboration, trusted by over 170,000 customers including Accenture, Amazon, and Anthropic. The platform's Work Graph maps goals to portfolios to projects to tasks and serves as the foundation for Asana's AI Teammates: collaborative agents that operate inside the graph, learn from human decisions, and compound their intelligence with every cycle.

What you'll learn:

• Why enterprise AI spend keeps returning zero productivity gains, and what is structurally breaking the loop

• Why every employee approval, correction, or rejection of AI output is training data that makes the system smarter over time

• How Asana wires its own processes through the Work Graph so that AI decisions write back automatically and compound rather than reset

• How PLG, forward-deployed engineers, and AI agents all report to the CPO, each under a GM who owns a revenue number

• Why the future of AI at work belongs to whoever has the richest shared context, not whoever has the best model

Key takeaways:

• Individual AI productivity gains compound into zero enterprise ROI when decisions never write back into a shared system

• Every human approval or correction is training data. The companies that capture it structurally will pull ahead of those that don't

• PLG is an acquisition funnel, not a sales motion. Giving it a GM with a revenue number inside product changes the incentives entirely

Credits:
Host: Carlos Gonzalez de Villaumbrosia
Guest: Arnab Bose