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Knowledge Hub
Search every guide, article, template, case study and glossary term in the TURMA Knowledge Hub.
56 results
Case StudyAI Governance
An illustrative example of how a larger professional services firm could move from scattered AI pilots to board-level oversight, auditable evidence and trained staff.
Daniel Rogers
Co-Founder & COO · 14 Oct 2026
Case StudyAI Adoption
An illustrative example of how an insurance broker could turn client questions about AI into a practical service, using TURMA as a partner.
Isaac Ward
AI Practitioner · 14 Oct 2026
Case StudyShadow AI
An illustrative example of how a 120-person accountancy firm could move from uncertainty about AI use to a clear register, policy and plan.
Daniel Rogers
Co-Founder & COO · 14 Oct 2026
How-toAI Governance
Six steps to check an AI tool or vendor properly before it touches your data, without turning procurement into a project.
Chris Rigby
Co-Founder & CRO · 14 Oct 2026
How-toAI Governance
A short, clear AI policy beats a long one nobody opens. Seven steps to write an AI acceptable use policy that fits on two pages and works in practice.
Isaac Ward
AI Practitioner · 14 Oct 2026
How-toShadow AI
A step-by-step way to find out which AI tools your business actually uses, without a big project or making anyone feel watched.
Phil Evans
Co-Founder & CEO · 14 Oct 2026
Practical GuideAI Governance
Due diligence questionnaires and renewal forms now ask about AI. A guide to the questions you’ll be asked, what good answers look like, and the evidence to have ready.
Eddie Serafica
Growth & Partnerships · 14 Oct 2026
Practical GuideAI Adoption
AI literacy isn’t about turning everyone into an expert. A practical guide to what staff need to know, how to tailor it by role, and how to show it’s working.
Isaac Ward
AI Practitioner · 14 Oct 2026
Practical GuideAI Governance
A practical, no-jargon guide to putting AI governance in place in a 50 to 250 person firm. Five building blocks, who owns what, and where to start.
Phil Evans
Co-Founder & CEO · 14 Oct 2026
OpinionAI Governance
Most AI conversations start with fear. We think they should start with control. Why governance and enablement belong together, and what that looks like day to day.
Isaac Ward
AI Practitioner · 14 Oct 2026
AnalysisAI Regulation
The EU’s AI Omnibus moved some AI Act deadlines and softened others. Here’s what changed, what didn’t, and what it means if you’re a UK business.
Isaac Ward
AI Practitioner · 14 Oct 2026
ExplainerShadow AI
Shadow AI is the AI your people use without the business knowing. Here’s what it is, why it happens, and the calm first steps to bring it into view.
Isaac Ward
AI Practitioner · 14 Oct 2026
Starter PackAI Adoption
Twenty words you will hear in every AI conversation, in plain English. What each one actually means, and a way to picture it
Isaac Ward
AI Practitioner · 14 Oct 2026
GlossaryAI Regulation
A formal privacy check carried out before launch.
GlossaryAI Governance
The specific list of what is fine, what needs sign-off, and what is off limits.
GlossaryAI Governance
Quality quietly falling away as the world moves on from the training data.
GlossaryAI Governance
Switching off a vendor's right to learn from what your people put in.
GlossaryAI Adoption
Everything not in tidy rows and fields: emails, documents, calls, notes.
GlossaryAI Adoption
Joining several models, tools and steps into one dependable process.
GlossaryAI Adoption
AI that sits alongside a person and suggests, rather than deciding.
GlossaryAI Adoption
Including a few worked examples so the model copies the pattern you want.
GlossaryAI Adoption
Asking the model to work through its reasoning before it answers.
GlossaryAI Adoption
A large general-purpose model that other products are built on top of.
GlossaryAI Adoption
AI that produces new content rather than just sorting or scoring what exists.
GlossaryAI Adoption
Where embeddings are stored so the right document is found quickly.
GlossaryAI Adoption
Text turned into numbers, so things can be found by meaning rather than keyword.
GlossaryAI Adoption
The model looks things up in your documents before it answers.
GlossaryAI Adoption
Training a general model further on your own data so it suits your work.
GlossaryAI Adoption
The material a model learned from. It shapes everything the model produces.
GlossaryAI Governance
A person reviews or approves the output before anything actually happens.
GlossaryAI Adoption
Standing instructions set behind the scenes that shape every answer.
GlossaryAI Adoption
How much text a model can hold in mind at once, your instructions included.
GlossaryAI Adoption
The chunks of text a model reads and writes, each roughly three quarters of a word.
GlossaryAI Adoption
A model trained on an enormous amount of text to predict what words come next.
GlossaryAI Adoption
The skills and knowledge needed to use AI systems appropriately and understand their risks and limitations.
GlossaryAI Governance
A record of the AI systems an organisation uses, with owners, use cases, data and risk ratings.
GlossaryAI Governance
A document setting out how employees may and may not use AI tools at work.
GlossaryAI Regulation
EU regulation establishing risk-based rules for the development and use of AI systems.
GlossaryAI Regulation
An international standard specifying requirements for an AI management system.
GlossaryShadow AI
The use of AI tools for work without the knowledge or approval of the organisation.
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