Ep177: Agentic AI for business transformation with Boomi, Demandbase and Smarsh

Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.

Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.

Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.

Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.

Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.

Internal adoption driven by empowering teams to build their own solutions versus top-down.

Demandbase saw 70% adoption within six months through grassroots approach and local champions.

Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.

Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.

Biggest lesson: Data quality and context determine success more than agentic frameworks.

Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.

Industry created fatigue by overpromising; should have started smaller with realistic expectations.