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AI Act Ready Blog
Guidance for AI governance, compliance and procurement teams
Realistic, implementation-focused articles for organisations turning AI regulation into repeatable operating practice.
AI Act Ready tools in practice
The operational pain each tool addresses, what it produces and where it fits in a controlled governance programme.
From scattered AI risks to an owned, evidence-linked register
See how the governed workspace connects systems, risks, controls, evidence, actions and review triggers without pretending software makes the decision.
How software and learning make an operating model usable
Connect decision rights, review gates and escalation to a maintained record, then help contributors understand the responsibilities behind the workflow.
Find the evidence gaps that slow buyer due diligence
Use the free 11-question diagnostic to expose weak evidence areas, then maintain approved answers in one governed workspace.
Latest articles
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Article 50 is live: the evidence UK businesses need now
The Commission's final guidance clarifies provider and deployer duties, the evidence behind AI notices and labels, and the limited transition that ends on 2 December 2026.
The AI supplier evidence pack: 12 items to request before approval
A practical buyer checklist covering system purpose, risk, data, testing, oversight, transparency, incidents, change control, audit rights and exit.
What the AI Board's September enforcement priorities mean for SMEs
The AI Board's latest agenda points to active enforcement, transparency, market surveillance and AI literacy. Here is the practical evidence SMEs should prioritise now.
The AI supplier transparency acceptance test buyers should run
Turn supplier transparency claims into a repeatable go-live test covering user notices, generated-content marking, labels, evidence retention and change control.
The AI Pact after enforcement began: should UK and EU-facing SMEs join?
The AI Pact is voluntary, but its governance commitments can give smaller businesses a practical readiness structure. Here is how to decide whether participation is worth the effort.
The generative-AI transparency evidence pack buyers should request
A supplier saying it complies with Article 50 is not enough. Buyers need evidence that disclosures, machine-readable marking and content labels work across the actual service they use.
An AI Act complaint arrives: your first 10 working days
The AI Office complaint channel is live. A disciplined response starts with preserving evidence, identifying the system and owner, and building a factual record before drafting conclusions.
The AI incident evidence schedule every supplier contract should include
A generic security-notification clause rarely gives buyers enough evidence to assess an AI incident. This schedule defines the facts, artefacts, timings and cooperation expected from suppliers.
EU AI regulatory sandboxes are opening: who can apply and what evidence should applicants prepare?
AI regulatory sandboxes offer supervised testing and regulatory guidance, but applicants still need a credible use case, risk view, testing plan and evidence trail.
The AI supplier change log buyers should require after procurement
An approved AI service can change quietly through new models, prompts, data sources and subprocessors. A structured supplier change log keeps the original risk decision valid.
AI Act enforcement has started: what the new complaints channels mean for businesses
The AI Office and national authorities now have enforcement powers. Businesses should prepare for complaints, whistleblower reports and downstream-provider concerns with evidence that can withstand scrutiny.
Seven AI contract clauses procurement teams need after signature
AI services change after procurement approval. These seven contract areas help buyers preserve visibility over models, data, incidents, evidence, subprocessors, performance and exit.
Article 50 is now live: the evidence UK businesses need for AI transparency
A practical checklist for proving what your organisation labels, how it labels it and why.
The AI supplier evidence pack: 12 items to request before signing the contract
An evidence-led checklist covering purpose, risk, data, testing, oversight, incidents, changes, audit and exit.
The EU AI Act timeline may move. Buyer evidence expectations will not.
A provisional EU agreement may shift some high-risk AI Act dates, but procurement teams, customers, investors and boards are still asking for AI evidence now.
A practical EU AI Act readiness plan for SMEs
Turn EU AI Act uncertainty into a manageable compliance programme with a staged plan for classification, evidence, controls and supplier review.
How ISO/IEC 42001 supports AI Act compliance
ISO/IEC 42001 gives teams a management-system backbone for AI governance, helping compliance work become repeatable rather than reactive.
Designing an AI governance operating model that teams will use
A lightweight operating model can give product and compliance teams clear decision rights without slowing down responsible AI delivery.
Procurement readiness: what buyers now ask AI vendors
Enterprise buyers increasingly expect evidence on AI purpose, data handling, model oversight, risk controls and regulatory posture before contracts are signed.
Building an AI risk register that drives action
A good AI risk register connects risk statements to owners, controls, review dates and evidence rather than sitting in a spreadsheet nobody trusts.
Compliance automation without losing accountability
Automation can reduce repetitive compliance work, but strong programmes keep human accountability clear for classification, approval and exception handling.
EU AI Act
8 articles
Article 50 is live: the evidence UK businesses need now
The Commission's final guidance clarifies provider and deployer duties, the evidence behind AI notices and labels, and the limited transition that ends on 2 December 2026.
What the AI Board's September enforcement priorities mean for SMEs
The AI Board's latest agenda points to active enforcement, transparency, market surveillance and AI literacy. Here is the practical evidence SMEs should prioritise now.
An AI Act complaint arrives: your first 10 working days
The AI Office complaint channel is live. A disciplined response starts with preserving evidence, identifying the system and owner, and building a factual record before drafting conclusions.
EU AI regulatory sandboxes are opening: who can apply and what evidence should applicants prepare?
AI regulatory sandboxes offer supervised testing and regulatory guidance, but applicants still need a credible use case, risk view, testing plan and evidence trail.
AI Act enforcement has started: what the new complaints channels mean for businesses
The AI Office and national authorities now have enforcement powers. Businesses should prepare for complaints, whistleblower reports and downstream-provider concerns with evidence that can withstand scrutiny.
Article 50 is now live: the evidence UK businesses need for AI transparency
A practical checklist for proving what your organisation labels, how it labels it and why.
The EU AI Act timeline may move. Buyer evidence expectations will not.
A provisional EU agreement may shift some high-risk AI Act dates, but procurement teams, customers, investors and boards are still asking for AI evidence now.
A practical EU AI Act readiness plan for SMEs
Turn EU AI Act uncertainty into a manageable compliance programme with a staged plan for classification, evidence, controls and supplier review.
ISO/IEC 42001
1 article
How ISO/IEC 42001 supports AI Act compliance
ISO/IEC 42001 gives teams a management-system backbone for AI governance, helping compliance work become repeatable rather than reactive.
AI Governance
2 articles
The AI Pact after enforcement began: should UK and EU-facing SMEs join?
The AI Pact is voluntary, but its governance commitments can give smaller businesses a practical readiness structure. Here is how to decide whether participation is worth the effort.
Designing an AI governance operating model that teams will use
A lightweight operating model can give product and compliance teams clear decision rights without slowing down responsible AI delivery.
Procurement Readiness
8 articles
The AI supplier evidence pack: 12 items to request before approval
A practical buyer checklist covering system purpose, risk, data, testing, oversight, transparency, incidents, change control, audit rights and exit.
The AI supplier transparency acceptance test buyers should run
Turn supplier transparency claims into a repeatable go-live test covering user notices, generated-content marking, labels, evidence retention and change control.
The generative-AI transparency evidence pack buyers should request
A supplier saying it complies with Article 50 is not enough. Buyers need evidence that disclosures, machine-readable marking and content labels work across the actual service they use.
The AI incident evidence schedule every supplier contract should include
A generic security-notification clause rarely gives buyers enough evidence to assess an AI incident. This schedule defines the facts, artefacts, timings and cooperation expected from suppliers.
The AI supplier change log buyers should require after procurement
An approved AI service can change quietly through new models, prompts, data sources and subprocessors. A structured supplier change log keeps the original risk decision valid.
Seven AI contract clauses procurement teams need after signature
AI services change after procurement approval. These seven contract areas help buyers preserve visibility over models, data, incidents, evidence, subprocessors, performance and exit.
The AI supplier evidence pack: 12 items to request before signing the contract
An evidence-led checklist covering purpose, risk, data, testing, oversight, incidents, changes, audit and exit.
Procurement readiness: what buyers now ask AI vendors
Enterprise buyers increasingly expect evidence on AI purpose, data handling, model oversight, risk controls and regulatory posture before contracts are signed.
AI Risk
1 article
Building an AI risk register that drives action
A good AI risk register connects risk statements to owners, controls, review dates and evidence rather than sitting in a spreadsheet nobody trusts.
Compliance Automation
1 article
Compliance automation without losing accountability
Automation can reduce repetitive compliance work, but strong programmes keep human accountability clear for classification, approval and exception handling.