How AI Agents will transform enterprise workflows | Aaron Levie + Google’s Rao Surapaneni
Key Takeaways
Discusses the future of enterprise AI agents with Box CEO Aaron Levie and Google VP Rao Surapaneni
Original Description
Box CEO Aaron Levie joins Google VP and GM of Business Applications Rao Surapaneni for an insightful conversation on the future of Enterprise AI Agents.
They explore the shift from chat-based AI to autonomous agents, why multi-agent systems are gaining momentum, and what enterprises need to rethink to unlock real value. The discussion covers workflow reinvention, cross-functional orchestration, governance, security, access control, interoperability, standards like MCP, and why memory and feedback loops may be the next major breakthrough for AI agents.
Key topics include:
- Why knowledge synthesis is already one of the biggest enterprise AI use cases
- Where autonomous agents are delivering value today
- Why enterprises may need to reinvent 60–70% of processes for AI
- How to think about governance, permissions, and elevated agent privileges
- Why interoperability across platforms like Box, ServiceNow, Workday, and Salesforce matters
- What’s next for multi-agent systems, memory, and feedback loops
This is a useful watch for anyone working in enterprise software, AI strategy, automation, IT, security, or digital transformation.
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related Reads
📰
📰
📰
📰
Rod Johnson Is Back - and He's Bringing AI Agents to Java
Dev.to · Md Jamilur Rahman
Your agent knows your preferences. It just never uses them
Dev.to · Nam Bok Rodriguez
Context Compression: Making AI Agents Forget Without Losing the Plot
Dev.to · Rijul Rajesh
Built a tool that datacenter cooling layouts optimiser
Reddit r/artificial
🎓
Tutor Explanation
DeepCamp AI