Title of the Talk
Intelligent Enterprise Work Intake: How GenAI Fixes the Quiet Bottleneck in Every Large Organization.
Abstract
Every large enterprise runs the same invisible program. Requests flood in from every channel, in every format. Teams triage by gut. Engineering ships whats loudest. Outcomes are claimed but never proven. Cycle times stretch, and leaders keep asking the same question: why isnt any of this compounding? This session argues that intake, not technology, talent, or data, is the bottleneck capping most enterprise programs. It shows how GenAI, applied correctly, finally makes intelligent intake practical at scale: clarifying intent before work starts, surfacing evidence on every request, routing to the right owners, and closing the loop with measurable outcomes. Youll leave with a three-move playbook any leader can put in motion next quarter, with AI doing the heavy lifting humans never could.
Brief Profile
Ashish Garg is a Principal Product Manager at Walmart with 15+ years scaling AI/ML products and product operations at Fortune 100 firms. He works at the intersection of Product Ops, enterprise planning, and applied AI, focused on the "front door" of delivery: intake, triage, prioritization, and the rituals that turn strategy into shipped outcomes. At Walmart, he architected a centralized planning platform that institutionalized Continuous Planning and reduced PM time on planning and reporting by 40%. He also leads GenAI initiatives for PMs, including custom assistants and agentic workflows built on RAG and multi-contextual prompting architectures. His earlier work in Financial Planning and Supply Chain Finance delivered measurable operational impact through ML products spanning productivity, forecasting, and churn prediction. Ashish believes the failure mode in complex orgs isnt effort but its unclear ownership, hidden dependencies, and decisions that cant be defended later. He designs AI-assisted workflows where humans stay in control, outputs are grounded in evidence, and decision trails are explainable to leadership.