The Adoption Playbook

Lesson preview

OpenAI's seven enterprise lessons are a sequence, not a menu — and the order matters. It starts with measurement (evals), moves through embedding, iterating, and specializing, and only reaches decentralization, platformization, and automation once the earlier steps are solid. Notice what's first: the frontier lab's own 1 organizational lesson is exactly the thing Volume 1 spent pages teaching you to build. Your eval harness isn't a technical nicety — according to OpenAI's field evidence from real enterprise deployments, it's the thing that unlocks adoption. Where OpenAI's enterprise guide pushes ambition, Anthropic's Building Effective Agents supplies the restraint that makes ambition survivable. The counsel: find the simplest solution first, and add complexity only when it demonstrably improves outcomes — not because the architecture looks more impressive. Prefer composable patterns over frameworks. If you do adopt a framework, understand the underlying code — because wrong assumptions about what a framework is doing under the hood are, per Anthropic, a leading cause of production error. The architecture heuristic: use a single augmented model call for simple predictable tasks; use composable workflow patterns (chaining, routing, parallelization) for medium-complexity tasks; reach for multi-agent only for genuinely specialized, high-complexity problems where the path can't be predetermined. Match the architecture to the business value, not to the state of the art.

Key terms in this module

Fine-tuning

Fine-tuning is extra training that adjusts an existing AI model on your own examples so it learns a specific style, format or task. It changes the model itself, while a prompt or a document search only changes what the model sees for one request.

Frequently asked questions

Who is "The Adoption Playbook" for?

This Expert module in AI Strategy & Implementation is for operators, founders and growth teams who run AI in real work and want production-grade judgement. It takes about 9 minutes and ends with a 4-question quiz.

Do I need to code?

No. This module is about decisions, economics and implementation planning, so no coding is involved.

What comes before and after this module?

Before "The Adoption Playbook", take "Build, Buy, or Partner" (module 4 of AI Strategy & Implementation). Afterwards, continue with "Humans on the Jagged Frontier".

Related modules

• Previous
  Build, Buy, or Partner

  Why internal builds fail at twice the rate — and when to build anyway.

• Next
  Humans on the Jagged Frontier

  The largest field experiment on AI and knowledge work — huge gains, a hidden cliff, and three working styles.

• Same topic
  The Evidence Base: Why Most AI Initiatives Fail

  The failure rate is not a technology story. Every major study lands on the same cause: organizations that don't learn.

• Same topic
  The Operating Model: Making the Organization Learn

  Benefits follow organizational learning, not tool deployment.