Description
AI agents are being pitched for almost every part of sales, marketing, and customer support, from AI SDRs to support bots that resolve tickets without a person. But most businesses aren't excited about agents for their own sake. They want more leads, more closed deals, and happier customers. For go-to-market teams, that raises practical questions about where automation helps and where people still need to stay involved. How much of the sales process can an agent handle? How do you build enough trust to let one talk to your customers? And how do you know it's working?
Duncan Lennox is the Chief Product and Technology Officer at HubSpot, where he oversees the product portfolio and leads Engineering, Product, UX, Next Bets, and IT and Security. Before HubSpot, he held roles at Google, most recently as general manager of the Applied AI team in Google Cloud, and at Amazon Web Services, where he was general manager of Elastic File System. He also co-founded two enterprise SaaS startups, serving as CEO and CTO.
In the episode, Richie and Duncan explore automating sales with AI SDRs, how agents resolve over 70% of support tickets, building customer trust in agents, context engineering and evals, the humanity score for avoiding AI slop, model-agnostic agent harnesses, controlling AI costs, outcome-based pricing, the headless SaaS strategy, and much more.
0:00 Intro
1:05 Can AI fully automate sales?
3:07 Customer Agent: 70%+ resolution and the product feedback loop
7:47 The ROI of agents: 3.6x MQLs and 3.2x won deals
10:09 Keeping humans in the loop and building trust
13:16 Why small businesses don't care about agents
15:20 SaaS vs agents: how HubSpot reconciles both
20:11 The headless strategy: work from Claude, ChatGPT or Breeze
23:07 Making agents reliable: context, agent harness and evals
30:05 Evals in practice and the humanity score
34:56 Frontier models, small models and cutting your AI bill
38:15 Outcome-based pricing for agents
43:11 The end goal: augmenting go-to-market teams
Find DataFramed on DataCamp https://www.datacamp.com/podcast and on your preferred podcast streaming platform:
Apple Podcasts: https://podcasts.apple.com/us/podcast/dataframed/id1336150688
Spotify: https://open.spotify.com/show/02yJXEJAJiQ0Vm2AO9Xj6X?si=d08431f59edc4ccd
Links Mentioned in the Show:
• HubSpot Customer Agent: https://www.hubspot.com/products/artificial-intelligence/ai-customer-service-agent
• HubSpot Prospecting Agent: https://www.hubspot.com/products/sales/ai-prospecting-agent
• Breeze Assistant: https://www.hubspot.com/products/artificial-intelligence/breeze-ai-assistant
• HubSpot Breeze agents overview: https://www.hubspot.com/products/artificial-intelligence/breeze-ai-agents
• Lenny's Newsletter: https://www.lennysnewsletter.com/
• Connect with Duncan: https://www.linkedin.com/in/lennox
• AI-Native Course: Intro to AI for Work - https://www.datacamp.com/courses/introduction-to-ai-for-work
• Related Episode: Don't Build on Jell-O: How to Make Agentic AI Reliable with Dan Klein, CTO at Scaled Cognition - https://www.datacamp.com/podcast/dont-build-on-jello-how-to-make-agentic-ai-reliable
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