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Enterprise AI engineering

Taking AI from pilot to platform means a reference architecture, guardrails, a delivery lifecycle that accounts for AI, and a plan. This series covers each in order.

5 articles on this topic

Ordered from foundations to advanced, newest first within each level.

  1. The 90-Day Enterprise AI Adoption PlaybookA practical 90-day plan for enterprise AI adoption: foundation, controlled scale and production, plus a 5-level maturity model to show where you stand.Intermediate 15 min readLast reviewed 2026-10-11
  2. Inside the AI-Augmented Developer WorkflowOne ticket, start to finish, through an AI-augmented development workflow: where the agent helps, where it stalls and where a human has to step in.Intermediate 13 min readLast reviewed 2026-10-11
  3. The AI-Native SDLC: What AI Does and What Humans DecideEvery stage of the software lifecycle rebuilt around AI: what AI now does, what changes and what stays human-controlled at each of twelve stages.Advanced 15 min readLast reviewed 2026-10-11
  4. The Enterprise AI Engineering BlueprintA reference architecture for enterprise AI: gateway, orchestration, RAG, MCP tools, identity, guardrails, evaluation, observability and governance.Advanced 16 min readLast reviewed 2026-10-11
  5. Enterprise AI Guardrails: A Ten-Layer Defense in DepthA ten-layer guardrail model for enterprise AI: prompt injection, least-privilege tools, approved models, audit trails, kill switches and MCP security.Advanced 17 min readLast reviewed 2026-10-11

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