Practical AI guides

Clear answers before you buy another tool.

These guides answer the questions teams ask before training, consultancy or implementation. They are written from the work, not from a product brochure.

Working method

From a vague AI ambition to a controlled first step

Start with the work, set the boundary, test one useful case and only then decide what deserves to scale. 01 Need 02 Boundary 03 Test 04 Scale evidence review
Start with the work, set the boundary, test one useful case and only then decide what deserves to scale.

Start with your current question

Ten guides for the decisions that come first

Each guide leads to a relevant service, but it is designed to be useful even if you are not ready to commission anything.

01

AI consultancy

What does an AI consultant actually do?

A practical guide to AI consultancy, implementation, costs, readiness and choosing a first pilot.

Read the guide
02

AI consultancy cost

How much does an AI consultant cost in the UK?

How to compare workshops, readiness reviews, pilots and implementation proposals by scope and evidence.

Read the guide
03

Business AI training

AI training for business: what should it cover?

How to choose training that changes real work, with role-based practice, data boundaries and follow-through.

Read the guide
04

AI governance

AI governance for small and growing businesses

A usable framework for approved use, confidentiality, human review, accountability and escalation.

Read the guide
05

Governance framework

AI governance framework checklist

A practical checklist for use-case approval, data, ownership, human review, evaluation and incidents.

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06

Claude for business

What is Claude AI good for in business?

A current, practical guide to use cases, Claude versus ChatGPT, account choice, data safety and team adoption.

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07

Claude safety

Is Claude AI safe for business use?

How to assess account choice, data handling, retention, connectors, permissions and human review.

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08

Claude course

What should a Claude AI course include?

A practical course structure covering safe setup, context, documents, source checking and adoption.

Read the guide
09

Technical SEO

Technical SEO audit checklist

A release-ready checklist for crawlability, rendering, indexation, architecture, schema and migrations.

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10

Prompting and context

Is prompt engineering still relevant?

Why prompting now sits alongside context, workflow design and evaluation, with practical business examples.

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Questions people are asking now

Find the answer in the language you would use to ask it.

We review UK search demand, People Also Ask questions and AI Overview results, then group each question with the page that can answer it properly. This keeps the site useful and avoids a collection of thin, competing articles.

Consultancy and implementation

Questions asked before a business commits to discovery, a pilot or outside support.

Training and team adoption

Questions that distinguish useful workplace training from a generic course or product tour.

AI governance

Questions teams ask when informal tool use has moved faster than policy and accountability.

Claude for business

High-interest questions about practical use, tool choice, plans and data safety.

Technical SEO and AI visibility

Questions about audit scope, prioritisation, rendering and the technical foundations for search and AI discovery.

Prompting, context and evaluation

Questions about the skill that remains after the novelty and prompt tricks wear off.

For continuing individual learning

AI Essentials has its own home.

Indexify is for organisational training, consultancy and delivery. Jon's wider learning material and AI Essentials programme live on a separate site.

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