128. SIGNAL Over Noise: AI, Convergence, and the End of Siloed Service episode artwork

EPISODE · Jun 12, 2026 · 36 MIN

128. SIGNAL Over Noise: AI, Convergence, and the End of Siloed Service

from TECHtonic: Trends in Technology and Services

In this episode of TECHtonic, host Thomas Lah, EVP and Executive Director of TSIA, sits down with Agam Vasani, former SVP of Customer Experience at LeanData, to explore what it actually takes to build an AI-driven post-sale organization. Agam shares how his team was drowning in over 40 fragmented customer health signals, leaving CSMs spending more time assembling data than acting on it. He then reveals how they used AI to consolidate those signals into a single, coherent view that reps could actually use.He also breaks down the SIGNAL framework, a six-part filter he developed to cut through a crowded AI vendor market and evaluate tools on source of truth, intelligence quality, go-to action, workflow fit, team-wide adoption, and continuous learning.Discover how peer-driven "AI jams" drove grassroots adoption where top-down mandates failed, and why most AI tools fall short because they're sold like SaaS when AI behaves nothing like it. Don't miss this candid conversation on what separates AI deployments that move the needle from ones that just add another tool to the stack.

Episode metadata supplied by the publisher feed · Published Jun 12, 2026

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Agam Vasani joins Thomas Lah to share how he transformed an overwhelmed post-sale team into a signal-driven, AI-powered operation. He introduces the SIGNAL framework — a six-point filter that helps CX leaders cut through the AI vendor noise and deploy tools that actually move the needle.

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128. SIGNAL Over Noise: AI, Convergence, and the End of Siloed Service

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