Practical perspectives on enterprise AI implementation, custom agents, and digital transformation from the field.
Token prices keep falling but enterprise AI bills keep climbing. Here's where the money actually goes in production AI systems — and the patterns that bring it back under control.
Model Context Protocol has become the de facto way to plug AI agents into enterprise tools and data. Here's what MCP actually is, why it matters, and how to start using it in your own environment.
Million-token context windows have shifted what's possible in enterprise AI. Here's what genuinely changed with Claude 4, where long context wins over retrieval, and where it still doesn't.
A practical guide to creating enterprise-grade AI agents using Microsoft Copilot Studio — from design patterns to deployment strategies that deliver real business value.
Before investing in AI, every enterprise needs an honest readiness assessment. Here's the framework I use with clients to evaluate data maturity, infrastructure, team skills, and ROI potential.
A hands-on comparison of the leading AI platforms — Anthropic Claude, Google Gemini, and OpenAI GPT — with real-world enterprise use cases and recommendations.
How to incrementally introduce AI into legacy enterprise systems without a full rewrite — practical patterns for augmenting existing applications with intelligent capabilities.
