Curious how major companies like Morgan Stanley, Indeed, BBVA, CLA, Lowe’s, and even OpenAI themselves are really using AI at scale? In this deep-dive episode of The Deep Dive, we unpack the 7 most impactful lessons from OpenAI’s latest report on real-world enterprise AI deployments.

This isn’t about hype or speculation. It’s a clear, grounded analysis of what actually works, backed by data, case studies, and measurable ROI. You’ll walk away with practical, actionable insights to apply to your business or organization—whether you're just starting with AI or scaling it across departments.

🔍 What You’ll Learn in This Episode:

• Lesson 1: Start with evaluations. Learn how Morgan Stanley built trust in AI through rigorous performance assessments, leading to 98% daily adoption of OpenAI tools among advisors and a 4x increase in document access efficiency.

• Lesson 2: Embed AI into your product. Discover how Indeed uses GPT-4 Mini not just for matching candidates, but to explain why a job is a good fit—resulting in a 20% increase in applications started and a 13% boost in successful hires, all while saving 60% in compute costs.

• Lesson 3: Start early and iterate. See how CLA rolled out a customer service AI assistant that now handles 2/3 of all support chats, cut resolution time by 80%, and is projected to deliver $40M in savings.

• Lesson 4: Customize your models. Learn how Lowe’s fine-tuned GPT-3.5 with their own product and search data, improving tagging accuracy by 20% and error detection by 60%—dramatically enhancing e-commerce operations.

• Lesson 5: Put AI in the hands of experts. Explore how BBVA empowered non-technical staff to build 2,900+ custom GPTs in just 5 months, accelerating legal review, credit risk assessment, and internal knowledge access.

• Lesson 6: Unblock your developers. See how Mercado Libre gave 17,000 developers access to an internal AI dev platform (Verity), simplifying secure app development and improving fraud detection, logistics, and product listings.

• Lesson 7: Set bold automation goals. Hear how OpenAI’s own support team built an internal automation layer to handle hundreds of thousands of tasks per month—from customer email response to full process automation using AI agents.

📈 This episode is perfect for:

• CTOs, CIOs, and digital transformation leaders

• AI and automation product owners

• Founders exploring AI for their startups

• HR, finance, legal, or support teams interested in no-code AI tools

• Strategy consultants and innovation researchers

💡 Key SEO Phrases:
enterprise AI, business AI deployment, OpenAI case studies, Morgan Stanley GPT, AI in customer support, AI in HR, GPT customization, fine-tuning GPT, enterprise automation, AI adoption strategy, AI productivity tools, internal AI platforms, AI assistants in finance, AI tools for developers, Verity platform.

🎯 Takeaway:
The best companies don’t just use AI — they embed it into their operations with precision, safety, and purpose. They start small, evaluate rigorously, train their teams, and scale what works. Want to follow their lead? Start here—with this episode.