Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.

Topics Include:

• 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.

Participants:

• Chris Timmerman – Vice President, Global Services Delivery, Boomi
• Harshal Dedhia – Vice President of AI, Demandbase
• Brandon Carl - Executive Vice President of AI and Product Strategy, Smarsh
• Allison Johnson - AMER Technology Partnerships Leader, Amazon Web Services

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