Onboarding new AI hires calls for context engineering - here's your 3-step action plan

This article argues that successful AI agents depend on well-prepared organizational context—spanning company culture, business process documentation, and application metadata—and details how to curate, structure, secure, and govern that information for AI consumption within context window limits. It highlights challenges with unstructured data, technical debt, and process quality, and recommends a three-step plan: define agent scope and end-to-end processes, identify and validate critical contextual information, and format it in platforms that can curate and tag it for AI access.