AI doesn’t win because it’s shiny; it wins because it shortens the path from data to decision. We sit down with Slalom’s Andrew Fano, Jack Rudelic, Erika Pflueger, and Marco Kilongkilong to dig into how generative AI is transforming retail and consumer goods, from product roadmaps and software delivery to supply chain and customer experience. The conversation starts with culture and outcomes, then moves quickly into the real levels: where to inject AI in existing workflows, how to accelerate time to value, and what it takes to avoid the dreaded proof-of-concept graveyard.

Jack breaks down why tapping enterprise data with LLMs speeds answers to employees and customers, improving logistics, HR, and day-to-day operations. Erica shares how teams build higher-fidelity roadmaps and ship faster by using AI to draft requirements, test ideas, and keep priorities moving without adding headcount. Marco leads a candid look at ethics and governance: human accountability, principle-based guardrails, and practical controls for privacy, explainability, and legal risk. Together they outline a simple frame; people, tools, and processes, that turns AI from a demo into dependable, trusted production systems.

We also zoom out to the future of work. Expect more citizen developers as the barrier to building falls, and yes, a credible path toward shorter work weeks as drudge work disappears and creativity scales. The throughline is trust: companies that bake governance into AI from day one will move faster, protect customers and employees, and earn the right to scale. If you’re ready to turn AI into real outcomes, not just experiments, this conversation lays out the playbook. 

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