Building an Agentic SDLC in a Regulated Enterprise

4 of 5 parts published · Kitt Holland
  1. Part 1

    Building an Agentic SDLC in a Regulated Enterprise

    Over the last five months, we built a new software development lifecycle designed for agentic AI at CMG Financial, a top-10 retail mortgage lender. When AI reduced implementation time from weeks to hours, requirements clarity became the constraint. This is how we redesigned the process.

  2. Part 2

    What Enterprise Agentic Coding Actually Requires

    Before we chose any tools, we defined the non-negotiable requirements: terminal as interface, single-owner accountability, commit-to-requirement traceability, enforced gates, adaptive work types, and distributed domain ownership.

  3. Part 3

    Initiative Planning: From Idea to Infrastructure

    How a rough idea becomes an approved architecture with infrastructure provisioned and foundation work planned, without weeks of meetings or context-losing handoffs. The semantic contract chain: each skill's output becomes the next skill's binding input.

  4. Part 4

    The Daily Development Cycle

    How product owners and engineers interact daily through an agentic SDLC: creating work, reviewing it, building it, and shipping it with test-plan-before-code, a built-in feedback loop, and machine-generated compliance evidence in every pull request.

  5. Part 5

    Coming soon

Kitt Holland EVP, Technology