Guides
Practical guides on AI in business
18 detailed guides on adopting AI, prompting, automation and starting a business, plus a free 90-day growth plan. Written to be applied, not just read.
AI for business leaders: understand, adopt and integrate it
A practical guide for owners and managers: what AI can and cannot do today, where to find the first opportunities, how to manage the risks and how to run a 90-day adoption plan.
Prompting handbook 2027: write better AI prompts
A complete guide to writing prompts that give useful results: a simple structure, advanced techniques, common mistakes and examples by profession.
A generative AI roadmap, step by step
How to adopt generative AI without spreading yourself too thin: diagnosis, first uses, tools, measuring results and scaling gradually.
Prompts for Microsoft Copilot, by everyday task
A practical guide to using Copilot in daily work, with prompt structures for Word, Excel, Outlook, Teams and PowerPoint and reusable examples. Features depend on your licence and change often: check what your organisation has enabled.
Automate with Make: 25 practical use cases
How Make (formerly Integromat) works, 25 automation ideas by department and a method to build your first scenario.
Automate with n8n: 25 use cases and when to self-host
How n8n works as an alternative to Zapier and Make, 25 use cases by department and when self-hosting makes sense.
Adopt AI in your organisation, step by step
A method for rolling out AI across a team: managing change, training, governing data and measuring real adoption.
Augmented human capital: how AI is changing skills and jobs
Which skills gain value, how to train teams and how to rethink roles, without alarmism.
The agentic enterprise: understanding autonomous AI agents
What AI agents are, how they differ from assistants, realistic use cases today, the risks and the supervision they need.
AI-powered industry: use cases and transformation
An overview of AI in industry: predictive maintenance, quality control, logistics and the prerequisites before investing.
AI in education and training: issues, uses and good practice
How AI changes teaching and vocational training: personalised paths, help for teachers, academic integrity and the supervision it needs.
Validate an AI business idea in 30 days
A four-week method to find out whether clients will pay for your service before you invest money or months of work.
Price an AI service without underselling
How to calculate a floor price, build three tiers and move from one-off projects to monthly subscriptions.
Find your first ten clients
Practical channels to win your first ten clients for an AI service: your network, local prospecting, LinkedIn, partnerships and referrals.
Using AI with client data: the basics
What a service provider should know before putting client or customer data into AI tools. General principles, not legal advice.
Mistakes that sink small AI businesses
The most common traps for beginners and how to avoid them.
Choose a legal status to sell services
How to think about the legal structure for a small service business, wherever you are. General information, not legal or tax advice.
Launch a business with AI in 2027: a practical guide
Choosing a business model, validating an idea, building a fast first version and executing week by week.
Free plan
The 90-day growth plan
One goal, a few actions, one indicator and one deliverable per week: diagnosis, offer and acquisition, then organisation and retention.
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