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:


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

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