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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
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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