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430- Stop Buying AI Projects Backwards w/Michael Baillargeon

Michael Baillargeon brings a telecom and contact-center lens to the AI strategy conversation. He argues that companies should stop treating AI like a SKU and start treating it like an operating practice. The episode covers practical quick wins in call recordings and quality management, the risk of public GPT use, the role of LLM aggregators, why data cleanup matters, and the five-part sequence IT leaders can use to move from AI pressure to measurable business outcomes: stakeholders, outcomes, data, guardrails, and ROI.

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