Applied AI Guides, without the jargon.
The concepts technology leaders need to master, explained by a team that has shipped applied AI to production for 10 years.
Agentic AI: what it is and why it matters for the enterprise
Agentic AI is software that pursues a goal on its own, planning steps, calling tools, and asking a human when it should. Here is how it works and where it pays off in the enterprise.
4 min readRead the guide Guide · 3 articlesAI Governance: The Enterprise Guide
AI governance is how enterprises deploy AI with accountability: what models run, on what data, at what cost, and under whose sign-off. A practical guide to governed, observable AI that traces to ROI.
4 min readRead the guide Guide · 2 articlesWhat is Amazon Bedrock
Amazon Bedrock is the AWS service for running foundation models, including Claude, inside your own account with US data residency. Here is how it works and where the real engineering lives.
5 min readRead the guide Guide · 2 articlesThe Claude API: building enterprise GenAI on Anthropic
The Claude API gives enterprise teams programmatic access to Anthropic's models. A practical guide to models, tool use, MCP, and production governance.
5 min readRead the guide Guide · 3 articlesData engineering: the foundation for production AI
Data engineering is the practice of building the systems that move, transform, and serve data. Here is why it decides whether your AI reaches production.
4 min readRead the guide Guide · 4 articlesEnterprise AI: from pilot to production
Enterprise AI is the practice of running AI inside a company's real operations, under governance and at a cost that holds up. Most programs stall before they get there.
4 min readRead the guide Guide · 3 articlesModel Context Protocol (MCP): the integration standard for enterprise AI
Model Context Protocol (MCP) is the open standard for connecting AI models to your tools and data. Here is what it is, why it matters, and how to run it in production.
4 min readRead the guideFrom reading to production.
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