AI Enablement
Put Artificial Intelligence to Work for Your Business

Stay on Top by Eliminating the Slop

AI Enablement is the Process of Preparing Your Business for AI

Give AI Something Meaningful to Work With

AI is only as good as the information you give it. If you're relying on AI to pull solutions out of thin air, you'll soon discover the disconnect between AI fiction and business reality. 

Before your team can rely on AI tools, chatbots, or copilots, your underlying documentation needs to be structured, consistent, and clear. Non-existent or poorly organised policies, processes, and procedures lead to poor AI answers. The result is called "workslop". Workslop is easy-to-generate AI content that creates the illusion of productivity, but over the longer term, creates bigger problems for others to deal with. 

AI Enablement is about getting your documentation ready for AI. When your organisation adopts AI tools, they should perform reliably from day one. To do that, your AI needs to understand your business, and that starts with how your knowledge is structured.

Structure Your Knowledge Assets

Large language models (LLMs) perform far better when they can clearly distinguish between current reality, historic content, and how your information is structured. 

AI needs to know:   
  • what is mandatory 
  • what is general guidance  
  • who has authority to make and approve decisions
  • what internal and external standards are applicable
  • well-defined and up-to-date production and administrative processes 
  • step-by-step procedures explaining how each task is performed, and
  •  where to find the evidence,  records and reporting that confirms whether your business is doing what it says it is doing.
Without this separation, AI produces inconsistent, unreliable answers.

Get the structure and content right, and you've built the authoritative source material your AI can actually draw on.

Build Documents AI can Actually Use

If your organisation is building an internal AI copilot, the quality of its answers depends entirely on the quality of its source material. Clean, consistent documentation gives AI:

  • clearer authority chains, so it knows which document overrides which 
  • consistent terminology, so it doesn't get confused by different words that mean the same thing, or different things that are referred to by the same name
  • less duplication, so it doesn't return conflicting answers, and
  • well-structured content, so it can retrieve the right information quickly.

A poorly structured document library results in poor AI answers.

A well-governed library produces answers your team can rely on.

But well-structured content is only half the picture. Someone still has to be accountable for what's documented, and for what AI does with that documentation.

Govern AI with Confidence

Every organisation adopting AI eventually has to answer the same questions:
  • Who approved this AI-generated output? 
  • Who is accountable if it's wrong? 
  • What is the escalation path when something goes wrong? 
  • How is this decision recorded and audited?
These are not new questions. They are the same governance principles that already apply to your change management, risk management, and approval processes.

Systematically separating your governance documentation from your operations documentation into clear policies, standards, processes, and procedures, gives:
  • your AI a structure it can work with, and
  • you clear accountability, rather than blind exposure to AI's confidently wrong guidance.
That accountability only holds if the words in your documents mean exactly what you intend them to mean.

Get the Language Right

AI systems are extremely sensitive to ambiguity. Semantics matters!

Differences in wording, can change how AI interprets and retrieves information, for example:

  • exception versus exemption
  • segregation versus separation, and
  • governance language versus operational language. 

Developing a style guide alongside your documentation defines what words to use and where. This brings clarity to nuance and context, that is, how these terms are used across:

  • individual project and operational teams 
  • your business as a whole 
  • the industry within which your business operates, and 
  • the legislation your business must comply with. 

Precision language matters more than ever. Getting your terminology consistent and unambiguous isn't just good writing practice, it's what makes AI outputs dependable. It's the last piece that turns well-structured documents into an AI your business can actually trust.

Chris Heath
Technical Writer & AI Enabler

Chris has completed Google's AI Essentials and Prompting Essentials certifications, and brings this AI literacy together with decades of structured writing experience to help your organisation build the documentation foundation AI Enablement depends on.

How I Work

Chris works with you to review your existing documentation, identify gaps and inconsistencies, and restructure your policies, standards, and operational documentation into a clear, well-governed library. This is the foundation your organisation needs before deploying AI tools with confidence.

© 2026 Chris Heath Technical Writer