How to Package AI Projects (So They Actually Ship to Production) скачать в хорошем качестве

How to Package AI Projects (So They Actually Ship to Production)

In this video, I break down the 3 key constraints enterprises actually care about when evaluating AI projects — and how to package your solution so it gets approved. You'll learn: → Why "AI-powered" is a red flag to decision-makers → The 4 constraints framework (security, auditability, reliability, human escalation) → How to reframe your pitch from "here's what it does" to "here's the risk we eliminate" → Real examples of how this changes deal velocity Timestamps: 0:00 - Reflecting on 6 months of bank-grade AI 1:31 - Turning constraints into your product's competitive edge 2:36 - The 3 buckets of AI constraints: Safety, Trust, and Ops 2:57 - Safety: Data Privacy & the case for On-Prem 6:02 - Trust: Audibility, Explainability, and the Audit Trail 8:16 - Operations: Why 99% reliability is actually failure 13:03 - Case Study: Automating a bank's auditing platform 18:15 - Lesson 3: Packaging the outcome, not the AI 21:24 - Selling the solution, not the hype: A better sales framework 📌 Interested in building AI solutions for your business? 📧 Business inquiries: jay@grounduplabs.co #AIForEnterprises #AIProducts #EnterpriseAI #AIStrategy