Demandbase's Vice President of Product explains why they deleted a fully-approved AI architecture two months before launch — and how the rebuild surpassed some of their customer’s highest expectations.

Topics Include:

• AWS's Achint Naveen introduces Demandbase's VP of Product, Chad Holdorf
• Demandbase unifies sales, marketing, and revenue data into one view
• November's architecture used many specialized agents, all committee-approved
• That design failed constantly — only a 30% conversation pass rate
• On May 11th, the team deleted the entire architecture
• Rebuilt in May with AWS Strands: one simpler, flexible agent
• Pass rate leapt from 30% to 94% almost overnight
• Week two retention rose from the low 20s to upper 80s
• Weekly active users grew 45% week-over-week after launch
• Real customer interviews play, calling the new AI a "dream"
• One user cut an hour-long report down to fifteen minutes
• Customers now trace ad impressions directly to closed deals
• Holdorf's advice: delete and rebuild when architecture gets too complex
• AWS's Naveen walks through Bedrock, AgentCore, and Strands
• AgentCore Memory highlighted as Demandbase's next area of exploration

Participants:

• Chad Holdorf – Vice President of Product Management, Demandbase
• Achint Naveen – Sr Account Manager, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/