Managing AI at the Front End: What We Learned Building an AI Intake Framework
As organizations accelerate their adoption of artificial intelligence, many struggle to manage a growing volume of AI ideas in a structured, consistent way. This session presents a real‑world case study from Capital Farm Credit on building an enterprise AI use case intake and prioritization process. Attendees will learn how early structure in intake can reduce duplication, clarify expectations, balance governance and innovation, and support better decision‑making. The presentation focuses on practical lessons learned, common pitfalls, and actionable techniques that organizations can apply immediately to manage AI demand more effectively.
William Talavera is an Associate Project Manager at Capital Farm Credit, where he supports cross‑functional projects by coordinating stakeholders, tracking deliverables, and helping teams execute initiatives on time and within scope across the organization.
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