📝Overview

“AI in the Enterprise” explores how seven leading companies have successfully integrated AI to transform their operations, customer experiences, and workforce capabilities. Through real-world case studies—from Morgan Stanley’s use of AI to speed up research, to Lowe’s fine-tuning for better product search—the guide identifies seven key lessons that drive value. It reframes AI deployment not as traditional software, but as a new paradigm demanding experimentation, evaluation, and iteration. Each lesson is illustrated with quantifiable outcomes: Morgan Stanley’s advisors use AI daily; Klarna resolved chats 5× faster; Indeed saw a 20 % lift in applications; Lowe’s improved tagging accuracy by 20 %. The report also highlights enterprise-grade security, compliance, and data ownership to ensure safe and scalable adoption.

📚What You'll Learn

• How to evaluate and benchmark AI models before deploying them (e.g., Morgan Stanley’s rigorous evaluation framework)

• Strategies for embedding AI into products and services, illustrated by Indeed’s job-matching enhancements

• Approaches to customize and fine-tune models for domain-specific needs, such as Lowe’s product tagging improvements

• Best practices for building AI capabilities within teams, including empowering experts and unblocking developer workflows (e.g., BBVA, Mercado Libre)

👥Best For

• Enterprise leaders seeking structured, real-world guidance on AI adoption

• Product managers exploring AI-powered features or customer experiences

• Technical teams building custom model fine-tuning and automated workflows

• Executives aiming to scale AI responsibly with compliance, security, and measurable ROI

• Organizations transitioning from pilot projects to strategic, enterprise-wide AI rollouts