Strategic frameworks and step-by-step playbooks for AI adoption. From evaluating opportunities to deploying in production, with real-world metrics and lessons.
Claude Co-Work gives non-technical users the same AI agent that powers Claude Code—through a simple folder-based interface. Half of Anthropic's sales team already uses it weekly. Here's how to set it up and what to expect from this research preview.
JPMorgan Chase spends $18 billion on tech, with $2 billion dedicated to AI. CEO Jamie Dimon reports a 1:1 return in year one. Their two-pillar approach—top-down mandates plus bottom-up employee tools—offers a blueprint for enterprise AI that actually pays off. Here's what it means for your business.
U.S. companies lose $136.8B yearly to preventable churn. AI-powered prediction spots at-risk customers 30-45 days before they leave—giving you time to intervene. Here's the 4-step framework that actually works.
Most small businesses overspend on AI tools they never use. The three-layer approach—one AI assistant, one automation tool, one specialized solution—delivers 30% cost savings within 30 days for under $300/month. Here's exactly what to buy and what to skip.
95% of AI agent projects fail—but not because of bad models. The real killers are bad operations, missing context, and skipped foundations. Here's the 90-day shadow-to-autonomy approach that production teams actually use, plus the real costs nobody quotes upfront.
IBM's 2025 CEO Study found only 25% of AI initiatives delivered expected ROI. The other 75% failed because companies chased "cool AI capabilities" instead of solving real business problems. Here's what the winners do differently.
