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AI adoption ยท Guides

AI adoption guides and playbooks

Seven resources, grouped by the decision in front of you rather than by product. Each card says who the guide is written for, what it helps you settle, and where to go once you have read it, so you can pick one rather than work through all seven.

The detailed playbooks use regulated-firm examples, because that is where the governance questions are sharpest. The method behind them is not specific to regulated companies.

Is the investment worth it?

The question that comes before the platform one. Price the whole twelve or twenty-four months rather than the licence line, discount the benefit by the share of people who will genuinely use it weekly, and read off the month it pays back, or that it does not.

The calculator is open and needs no email address. The guide and spreadsheet behind it sit behind the same short form as the other resources.

Building the business case for AI adoption

Written for. Whoever has to defend the spend, and whoever has to answer for the result.

Helps you decide. What the whole thing costs, what adoption rate to assume, and the month it pays back, or that it does not.

Afterwards. Discovery, to measure the baseline the case depends on.

Read the method

Which guide should you read next?

Four situations. Find yours rather than working through all seven.

Whichever route you end up on, the business case settles the question the others assume has been answered. Prefer to talk it through? Discuss AI adoption.

Common questions about the guides

Which guide should we read first?

If nothing has been chosen, the general AI-native guide. If your people already live in Microsoft 365, the Copilot playbook, because the baseline work in it comes before any decision about adding a second platform. If the spend is the thing holding you up rather than the choice, read the business case guide first and use the calculator on that page while you do.

The guides use regulated-firm examples. Do they apply to us?

The worked examples are drawn mainly from financial services, legal and healthcare, because that is where the governance questions are sharpest and the examples are therefore most concrete. The method is not specific to regulated companies. Any knowledge-work business with documents, email and a system of record will recognise the shape of it, and will have fewer constraints to work around rather than more.

Do I have to give an email address?

For the guides, yes. Each one sits behind a short form on its own page, and that page is where the download happens. The calculator on the business case page is the exception: it is open, it needs no sign-up, and nothing you type in it leaves your browser.

Is there a guide for Google Gemini?

Not as a separate playbook. Google is covered inside the general AI-native guide alongside the other routes, so read that one. If Google is where your work lives, the platform selection page sets out what to check, and it is worth establishing early whether the conversation is about Gemini inside Google Workspace or Gemini Enterprise on Google Cloud, because they are different products with different decisions behind them.

How current are these?

Each guide carries its own version and the date its facts were verified, and the platform positions inside them are checked against vendor documentation on a monthly cycle. Prices, plans and model line-ups all move, so read the date on the guide and treat anything older than a quarter as worth confirming before you act on it.

Read first, then talk to somebody

When a guide raises a question about your own company rather than about the product, that is the point at which a conversation is worth more than another download.

The first call covers what you want to improve, the tools you already run, and whether a scoped paid discovery is the right next step.