--- title: "AI Compliance for Regulated Industries: Non-Negotiable Framework" description: "UK AI compliance guide for regulated industries: FCA, MHRA, SRA and ICO requirements, the Data Use and Access Act 2025, EU AI Act obligations, and practical compliance frameworks." image: https://helium42.com/hubfs/blog/images/ai-compliance-regulated-industries-hero-hero-1.webp --- [![Helium42](https://helium42.com/hubfs/raw_assets/public/Helium42%20Clean%20Pro%20Child%20Theme/images/logo.svg)](https://helium42.com/) [Home](https://helium42.com) AI Education ▾ - [Intro To AI Webinar](https://helium42.com/ai-education/intro-to-ai-webinar) - [AI Marketing Workshop](https://helium42.com/ai-education/ai-marketing-workshop) - [AI Sales Workshop](https://helium42.com/ai-education/ai-sales-workshop) AI Implementation ▾ - [Salesman Sam](https://helium42.com/ai-implementation/pre-build-ai-solutions/salesman-sam) - [Content System](https://helium42.com/ai-implementation/content-system) AI Resources ▾ - [Blog](https://helium42.com/blog) - [AI Policy Template](https://helium42.com/ai-usage-policy-guidelines-template) - [ChatGPT For Business](https://helium42.com/gpt-business-bundle) - [Complete Guide To Claude AI](https://helium42.com/complete-guide-claude-ai) - [Free AI Marketing Strategy](https://helium42.com/ai-marketing-strategy) [About Us](https://helium42.com/about-us) [Contact Us →](https://helium42.com/contact-us) ![UK regulated industries AI compliance framework guide covering financial services, healthcare, and legal sector requirements](https://helium42.com/hs-fs/hubfs/blog/images/ai-compliance-regulated-industries-hero-hero-1.webp?width=1600&height=900&name=ai-compliance-regulated-industries-hero-hero-1.webp) Table of contents Published by ![Peter Vogel](https://helium42.com/hs-fs/hubfs/Team/peter%20vogel%20round.png?width=54&height=54&name=peter%20vogel%20round.png) Peter Vogel Peter has led digital marketing transformation programmes for over 500 organisations across the UK and Europe, with particular expertise in marketing and sales team enablement. Together with Helium42 co-founder Clwyd ... [AI Implementation](https://helium42.com/blog/tag/ai-implementation) [AI Governance](https://helium42.com/blog/tag/ai-governance) Mar 10, 2026, 5:00:00 AM # AI Compliance for Regulated Industries: Non-Negotiable Framework The Information Commissioner's Office issued £21.7 million in fines during 2025 — an eightfold increase from the previous year — with enforcement priorities shifting decisively toward organisations deploying AI without adequate governance structures. For regulated industries in the United Kingdom, AI compliance is no longer a future consideration. It is a present-tense obligation with material consequences for organisations that fail to act. This guide examines what regulated organisations — across financial services, healthcare, legal services, and insurance — must do now to build AI compliance frameworks that satisfy current regulatory expectations and prepare for the statutory requirements arriving in 2026. Key Takeaway The UK uses a principles-based, sector-specific approach to AI regulation — there is no single "AI law" to comply with. Instead, regulators such as the **FCA, MHRA, SRA, and ICO** enforce AI compliance through existing frameworks with increasing vigour. A joint FCA/ICO statutory Code of Practice is expected during 2026, signalling the transition from guidance to enforceable requirements. ## Why Has AI Compliance Become Urgent for UK Regulated Industries? AI compliance has become urgent because regulators have moved from education-focused supervision to enforcement-driven accountability. The shift is measurable: the ICO's 2025 enforcement actions included a **£14 million penalty against Capita** and a **£3.07 million fine against Advanced Computer Software Group**, both focused on cybersecurity failures associated with inadequately protected personal data used in organisational AI systems. These were not abstract policy positions. They were material financial penalties targeting governance failures. The urgency is compounded by three concurrent developments. First, the [Data (Use and Access) Act 2025](https://ico.org.uk/about-the-ico/what-we-do/legislation-we-cover/data-use-and-access-act-2025/the-data-use-and-access-act-2025-what-does-it-mean-for-organisations/) has fundamentally restructured automated decision-making protections under UK GDPR, replacing Article 22 with new Articles 22A-D that permit broader use of automated decisions but impose stricter procedural safeguards. Second, the EU AI Act's high-risk obligations take effect on 2 August 2026, with fines reaching up to €35 million or 7% of global turnover — directly relevant to UK organisations selling into EU markets. Third, 98% of UK companies have already experienced losses from unmanaged AI risks, according to EY's 2025 Responsible AI Pulse survey. £21.7M ICO Fines in 2025 8x increase from 2024 75% UK Financial Firms Using AI BoE/FCA survey, Nov 2024 98% Companies Hit by AI Risks EY Responsible AI Pulse, 2025 €35M Max EU AI Act Fine Or 7% of global turnover Sources: [URM Consulting ICO Enforcement Analysis 2025](https://www.urmconsulting.com/blog/analysis-of-enforcement-action-by-the-ico-in-2025-actions-way-down-security-data-breach-fines-way-up), [BCLP Financial Services AI Regulation 2025](https://www.bclplaw.com/en-US/events-insights-news/ai-regulation-in-financial-services-turning-principles-into-practice.html), EY Responsible AI Pulse Survey 2025 ![UK financial services professional examining AI compliance checklist on a tablet device with regulatory dashboards visible in background](https://helium42.com/hs-fs/hubfs/blog/images/ai-compliance-regulator-checklist-body-1.webp?width=1200&height=675&name=ai-compliance-regulator-checklist-body-1.webp) ## What Does the UK AI Regulatory Framework Actually Require? The UK AI regulatory framework requires organisations to comply with existing sector-specific regulations as applied to AI systems — there is no single AI statute. The UK government deliberately rejected the EU's prescriptive risk-based model in favour of a principles-led approach where existing regulators (FCA, ICO, MHRA, CMA, Ofcom) apply current frameworks to AI applications within their respective sectors. This does not mean the requirements are vague. The [Financial Conduct Authority](https://www.fca.org.uk/firms/innovation/ai-approach), for example, embeds AI oversight within Consumer Duty, the Senior Managers and Certification Regime (SM&CR), and operational resilience requirements. The [Solicitors Regulation Authority](https://www.sra.org.uk/solicitors/resources/innovate/compliance-tips-for-solicitors/) requires governance frameworks that underpin responsible AI adoption through leadership oversight, risk assessments, and ongoing evaluation. The Digital Regulation Cooperation Forum (DRCF) — comprising the CMA, FCA, ICO, and Ofcom — coordinates cross-sector AI oversight, with its 2025/26 workplan explicitly identifying agentic AI as a priority area. Three legislative developments are reshaping the compliance landscape. The Data (Use and Access) Act 2025 permits automated decision-making under broader lawful bases, including legitimate interests, but mandates transparency, human intervention rights, and contestation mechanisms. The UK government has committed to comprehensive AI legislation by mid-2026. And the FCA and ICO are jointly developing a statutory Code of Practice for firms developing or deploying AI, expected to be published during 2026. For organisations already navigating [AI implementation](https://helium42.com/blog/ai-implementation-guide), these developments mean that governance frameworks built today must accommodate both current principles-based expectations and the more prescriptive requirements arriving within 12 months. | Regulator | Sector | AI Compliance Approach | 2026 Developments | | --- | --- | --- | --- | | **FCA** | Financial Services | Principles-based: Consumer Duty, SM&CR, operational resilience | Statutory Code of Practice (joint with ICO); AI Live Testing cohort 2 | | **MHRA** | Healthcare | Medical device regulation + AI Airlock sandbox | National Commission recommendations; Phase 2 Airlock completion | | **SRA** | Legal Services | Professional standards: governance, client protection, COLP oversight | Ongoing compliance guidance updates; platform delivery scrutiny | | **ICO** | Cross-Sector | Data protection: DPIAs, automated decision-making, DUAA compliance | Expanded investigatory powers; CEO interviews; settlement procedures | Sources: [Bird & Bird UK AI Regulation 2026](https://www.twobirds.com/en/insights/2026/uk/ai-regulation-in-the-uk-the-role-of-the-regulators), [FCA AI Approach](https://www.fca.org.uk/firms/innovation/ai-approach) ## How Does AI Compliance Work in Financial Services? AI compliance in financial services operates through three existing regulatory frameworks applied to AI systems: Consumer Duty (ensuring AI-driven products meet customer needs and provide fair value), SM&CR (placing personal accountability for AI governance on identified senior managers), and operational resilience requirements (ensuring AI failures do not cascade into systemic disruption). The FCA has explicitly rejected calls for prescriptive AI-specific rules. Instead, it requires transparency in how AI reaches decisions (particularly in lending, insurance, and fraud detection), accountability for AI-driven outcomes through SM&CR, and systemic risk monitoring to address whether widespread AI adoption could amplify market shocks through correlated model behaviours. A November 2024 survey by the Bank of England and FCA revealed that **75% of UK financial services firms are already using AI**, with foundation models accounting for 17% of use cases. This rapid adoption makes governance non-optional. The FCA has responded by launching three innovation initiatives: a "supercharged sandbox" (June 2025) offering early-stage firms access to data, computing power, and regulatory support; an [AI Live Testing scheme](https://www.fca.org.uk/news/press-releases/fca-helps-firms-test-ai-safely) (September 2025) enabling real-world model testing under regulatory supervision; and the forthcoming statutory Code of Practice developed jointly with the ICO. For organisations pursuing [AI-powered sales automation](https://helium42.com/blog/ai-for-sales) or [marketing optimisation](https://helium42.com/blog/ai-for-marketing), the FCA's message is clear: demonstrate governance before deployment, not after enforcement. The Innovation Hub has accelerated time-to-market by 40% for firms with robust governance frameworks, compared to those attempting standard authorisation — a concrete competitive advantage for compliance-first organisations. ![Healthcare professional and data scientist reviewing AI diagnostic system outputs on a clinical workstation](https://helium42.com/hs-fs/hubfs/blog/images/ai-compliance-healthcare-review-body-1.webp?width=1200&height=675&name=ai-compliance-healthcare-review-body-1.webp) ## What Are the Healthcare AI Compliance Requirements? Healthcare AI compliance requires medical device regulation through the MHRA, data protection compliance through DPIAs, clinical governance through NHS structures, and post-market surveillance for deployed AI systems. The requirements are layered and sector-specific, reflecting the life-critical nature of healthcare AI applications. The MHRA has established the [AI Airlock programme](https://www.gov.uk/government/publications/ai-airlock-phase-2-cohort) as a regulatory sandbox for AI medical devices. Phase 2 (running until April 2026) includes seven technologies spanning AI-powered clinical note-taking, advanced cancer diagnostics, eye disease detection, and obesity treatment support. The programme addresses three regulatory challenges: scope of intended use extension and validation, managing evolving AI applications, and implementing robust post-market surveillance. The [NHS information governance guidance](https://digital.nhs.uk/data-and-information/information-governance/guidance/artificial-intelligence) for AI implementation mandates Data Protection Impact Assessments prior to deploying AI-based technologies, clear controller-processor relationships, and appropriate safeguards for research use of data. Organisations must ensure individuals receive clear information about AI use through privacy notices and other mechanisms. The Scale-Up Failure Rate **Critical statistic:** Approximately 80% of healthcare AI projects fail to scale beyond the pilot phase, according to implementation research from HealthTech Digital. The primary barriers are not technical — they are governance-related: infrastructure complexity, workflow integration challenges, regulatory barriers, and organisational resistance. Organisations that build governance and change management into pilot projects from the outset are substantially more likely to achieve scalable, compliant deployments. The National Commission into the Regulation of AI in Healthcare, chaired by Professor Alastair Denniston, is developing recommendations expected by mid-2026 that will likely crystallise these governance expectations into clearer regulatory frameworks. Healthcare organisations deploying AI should treat the Commission's emerging recommendations as early indicators of mandatory requirements. Building an AI compliance framework requires structured [implementation planning](https://helium42.com/blog/ai-implementation-roadmap) from the outset. [Explore AI Implementation](https://helium42.com/) ## How Must Legal Services Firms Approach AI Compliance? ![Compliance officer reviewing AI governance documentation with regulatory checkboxes](https://helium42.com/hs-fs/hubfs/blog/images/ai-compliance-regulated-sq1-img-1.webp?width=600&height=600&name=ai-compliance-regulated-sq1-img-1.webp) Legal services firms must approach AI compliance through the SRA's existing professional standards framework, maintaining governance that addresses client confidentiality, conflicts of interest, data protection obligations, and senior leadership oversight of technology adoption. The SRA does not restrict AI use — it requires firms to manage AI deployment within established professional obligations. The SRA's compliance guidance specifies that firms need governance frameworks covering leadership and oversight (with Compliance Officers for Legal Practice maintaining responsibility), risk and impact assessments, documented policies and procedures, staff training and awareness programmes, and ongoing evaluation of technology impact. Client interests must remain central to all technology decisions. Particular compliance risks arise where firms use technology platforms for service delivery. The SRA has clarified that solicitors accepting referrals from platforms that acquired clients through means the solicitor would be prohibited from using are in breach. Conflicts of interest rules, confidentiality obligations, and fee-sharing restrictions apply regardless of whether services are delivered through digital platforms. Where firms use technology to establish client identity (for anti-money laundering compliance), electronic verification processes are now permissible, but alternative engagement pathways must remain available for clients who cannot or will not use technology-based services. For firms exploring how [AI training for business teams](https://helium42.com/blog/ai-training-for-business) can support responsible adoption, the SRA's position is instructive: technology is welcomed, but governance is mandatory. ## What Is the Cost of Getting AI Compliance Wrong? The cost of inadequate AI compliance extends well beyond regulatory fines. EY's 2025 survey found that **98% of UK companies have experienced losses from unmanaged AI risks**, encompassing operational disruption, reputational damage, litigation exposure, and regulatory remediation costs. The enforcement pattern is clear: the ICO's four largest 2025 fines all targeted cybersecurity failures associated with inadequately protected data used in AI systems. Direct Enforcement Costs ICO fines for data protection failures associated with AI systems reached £21.7M in 2025. The EU AI Act introduces fines up to €35M or 7% of global turnover from August 2026. The FCA and PRA retain powers to levy unlimited fines for conduct failures involving AI-driven decisions. Indirect Business Impact Beyond fines: regulatory remediation programmes, mandatory audits, public naming of investigations (under proposed ICO enforcement guidance), customer compensation claims, and loss of regulatory sandbox eligibility. The ICO's draft enforcement guidance includes expanded CEO interviews and premises inspections. Conversely, the cost of not deploying AI is also quantifiable. UK organisations not adopting AI face a **2.3–3.1% annual productivity lag** compared to AI-adopting peers, according to the Institute for the Future of Work. Over three years, that gap translates to £138,000–£186,000 in lost productivity for a 50-person SME with £2 million revenue — or £1.04–£1.40 million for a mid-market firm with 250 employees. The strategic imperative is therefore not whether to deploy AI, but how to deploy it with adequate governance. Organisations choosing between a [custom AI solution and pre-built tools](https://helium42.com/blog/custom-ai-vs-pre-built) must factor compliance requirements into the build-or-buy decision from the outset. ## How Do You Build an AI Compliance Framework That Works? An effective AI compliance framework addresses five operational requirements: system inventory, risk assessment, governance structure, monitoring and audit, and documentation. Helium42 recommends a structured approach that integrates compliance into the [AI implementation process](https://helium42.com/blog/ai-implementation-guide) rather than treating it as a post-deployment addition. 1 AI System Inventory Catalogue every current and planned AI application across the organisation. Include third-party tools, embedded AI features in existing software, and any automated decision-making systems. This inventory enables risk prioritisation — high-risk systems receive rigorous governance, low-risk systems use simpler frameworks. 2 Risk Classification and DPIA Classify each system by risk level. Conduct Data Protection Impact Assessments for all AI systems processing personal data likely to result in high risk to individual rights. For healthcare AI, include clinical validation requirements. For financial services, address fairness and bias detection. 3 Governance Structure Establish clear accountability with senior leadership oversight (Compliance Officers or Chief Risk Officers). Document policies for AI development and deployment. Implement training programmes so staff understand governance expectations. Align with [ISO 42001](https://www.isaca.org/resources/news-and-trends/isaca-now-blog/2025/iso-42001-balancing-ai-speed-safety) principles for scalable, auditable management systems. 4 Bias Monitoring and Audit Implement regular testing for disparate impacts across demographic groups. Document assessment methodologies. Monitor for proxy discrimination — decisions based on non-sensitive data that correlates with protected characteristics. Healthcare organisations must specifically assess differential performance across patient populations. 5 Documentation and Audit Trails Capture who acted, what triggered the event, source data and version lineage, model parameters, and retention evidence for all high-risk AI systems. The EU AI Act's Article 12 mandates this level of detail — and UK regulators are converging on similar expectations. Organisations implementing these standards now will be prepared when UK legislation formalises them. The [UK government's Data and AI Ethics Framework](https://www.gov.uk/government/publications/data-ethics-framework/data-and-ai-ethics-framework) provides foundational guidance emphasising fairness, lawfulness, and transparency. For organisations working with an [AI consultancy](https://helium42.com/blog/ai-consultancy-uk-guide), these five steps should form the governance backbone of any implementation programme. The Bottom Line AI compliance is not a one-time implementation exercise. Regulatory expectations will continue evolving as AI capabilities advance. The organisations that will thrive are those viewing AI governance as **essential infrastructure enabling innovation at scale** — not a compliance burden to be minimised. The UK government's £12.5 million investment in the AI Capability Fund and Regulators' Pioneer Fund signals that regulatory scrutiny and capability will only increase. ## Frequently Asked Questions ### Is there a single UK AI law that regulated industries must comply with? No. The UK uses a principles-based, sector-specific approach. Existing regulators (FCA, MHRA, SRA, ICO) apply current frameworks to AI within their sectors. However, comprehensive AI legislation is expected by mid-2026, and the FCA and ICO are jointly developing a statutory Code of Practice for AI deployment. ### Does the EU AI Act apply to UK organisations? The EU AI Act does not directly apply within the UK. However, UK organisations selling products or services into EU markets, or UK subsidiaries of EU companies, must comply with its requirements. High-risk AI obligations take effect on 2 August 2026, with fines up to €35 million or 7% of global turnover. ### What changed under the Data (Use and Access) Act 2025? The DUAA replaced GDPR Article 22 with new Articles 22A-D, permitting automated decision-making under broader lawful bases (including legitimate interests) but imposing mandatory procedural safeguards: transparency requirements, rights to make representations, human intervention rights, and contestation mechanisms. ### What is ISO 42001 and should regulated firms adopt it? ISO 42001 is the international standard for AI management systems, providing a framework for responsible AI development and deployment. For regulated firms operating across multiple sectors or jurisdictions, ISO 42001 alignment creates scalable, auditable governance that accommodates multiple regulatory requirements within a unified architecture. ### How can organisations prepare for the FCA/ICO Code of Practice? The statutory Code of Practice is expected during 2026. Organisations should prepare by implementing the five-step compliance framework outlined above: system inventory, risk classification with DPIAs, governance structures with senior accountability, bias monitoring, and comprehensive documentation. Firms participating in the FCA's AI Live Testing scheme gain early insight into regulatory expectations. ### What is the MHRA AI Airlock programme? The AI Airlock is a regulatory sandbox for AI medical devices, enabling organisations to test AI systems in controlled environments with MHRA oversight. Phase 2 (running until April 2026) addresses scope validation, managing evolving AI applications, and post-market surveillance. Participating organisations gain regulatory clarity whilst demonstrating compliance readiness. Ready to Build a Compliance-First AI Strategy? Helium42 helps regulated organisations implement AI with governance built in from day one — delivering measurable efficiency gains without compliance risk. [Get in Touch](https://helium42.com/) [Read our AI Implementation Guide →](https://helium42.com/blog/ai-implementation-guide) Peter Vogel Founder, [Helium42](https://helium42.com/) Peter has led digital marketing transformation programmes for over 500 organisations across the UK and Europe, and now applies that education-led experience to AI implementation across marketing, sales, and operations. He leads Helium42's education-first approach to responsible AI implementation for UK and European businesses. Sources: [ICO Data (Use and Access) Act 2025 Guidance](https://ico.org.uk/about-the-ico/what-we-do/legislation-we-cover/data-use-and-access-act-2025/the-data-use-and-access-act-2025-what-does-it-mean-for-organisations/), [FCA AI Regulatory Approach 2025](https://www.fca.org.uk/firms/innovation/ai-approach), [SRA Compliance Tips for Solicitors](https://www.sra.org.uk/solicitors/resources/innovate/compliance-tips-for-solicitors/), [MHRA AI Airlock Phase 2](https://www.gov.uk/government/publications/ai-airlock-phase-2-cohort), [NHS AI Information Governance](https://digital.nhs.uk/data-and-information/information-governance/guidance/artificial-intelligence), [UK Data and AI Ethics Framework](https://www.gov.uk/government/publications/data-ethics-framework/data-and-ai-ethics-framework), [Bird & Bird UK AI Regulation 2026](https://www.twobirds.com/en/insights/2026/uk/ai-regulation-in-the-uk-the-role-of-the-regulators), EY Responsible AI Pulse Survey 2025, Institute for the Future of Work Productivity Gap Analysis 2024 [what AI governance involves](https://helium42.com/blog/what-is-ai-governance) [developing a formal AI policy](https://helium42.com/blog/ai-policy-template) [EU AI Act obligations for UK mid-market businesses](https://helium42.com/blog/eu-ai-act-uk) [AI governance best practices across regulated sectors](https://helium42.com/blog/ai-governance-best-practices) [AI governance risk and compliance framework](https://helium42.com/blog/ai-governance-risk-compliance) [data governance for AI compliance](https://helium42.com/blog/ai-data-governance) [agentic AI compliance requirements](https://helium42.com/blog/agentic-ai-governance) [AI-powered sales automation](https://helium42.com/ai-for-sales) [marketing optimisation](https://helium42.com/ai-for-marketing) [AI-powered legal drafting](https://helium42.com/blog/best-ai-for-legal-drafting) [AI governance readiness](https://helium42.com/reports/ai-governance-readiness-benchmark-2026) Continue reading ## More on AI Implementation. ### [![Law firm supervision chain for AI-assisted drafting, from fee-earner verification through to partner sign-off](https://helium42.com/hs-fs/hubfs/blog/images/legal-ai-supervision-chain-hero-1.webp?width=600&height=450&name=legal-ai-supervision-chain-hero-1.webp) AI Legal Drafting Implementation: A Rollout Guide for UK Firms AI legal drafting implementation is the operational work of embedding AI-assisted drafting into a law firm's ... Aug 9, 2026, 4:00:00 AM](https://helium42.com/blog/ai-legal-drafting-implementation-guide) ### [![A marketing leader reviewing an AI-readiness dashboard across data, skills, governance and process](https://helium42.com/hs-fs/hubfs/blog/images/ai-readiness-md-dashboard-20260722-224137.webp?width=600&height=450&name=ai-readiness-md-dashboard-20260722-224137.webp) AI Strategy AI Readiness for Marketing Leaders: The 2026 Diagnostic Guide AI readiness for a marketing function is the combination of data, skills, governance, process, tooling and ... Jul 22, 2026, 4:00:00 AM](https://helium42.com/blog/ai-readiness-for-marketing-leaders) ### [![A UK law firm protecting confidential client data while using AI, with a secure vault and legal case files](https://helium42.com/hs-fs/hubfs/blog/images/private-legal-ai-confidentiality-20260722-230142.webp?width=600&height=450&name=private-legal-ai-confidentiality-20260722-230142.webp) AI Implementation Private and Secure AI Deployment for UK Law Firms (2026) Deploying AI privately in a law firm means choosing a model — public tool, enterprise service with a ... Jul 22, 2026, 4:00:00 AM](https://helium42.com/blog/private-legal-ai-deployment) AI transparency ## How AI shows up in this article. - **Drafted with AI assistance.** Research and draft prepared via frontier large language models, then human-edited by the named author. - **Sources checked.** Statistics and citations are checked against their cited sources, and we are re-verifying older articles during 2026. If you spot an error, email [info@helium42.com](mailto:info@helium42.com) and we will correct it and date the correction. - **Compliance posture.** EU AI Act Article 50 transparency obligations (applicable from 2 August 2026) and the UK GDPR transparency principle. AI Newsletter ## Weekly AI insights for B2B leaders. Practical use-cases, real client wins, and the tools we run in production. One email a week. No drip sequences, no upsells. - **Founders write it.** Not a content team, not an AI summary — the same people delivering Helium42 engagements. - **One email a week.** Friday morning, three to five practical items. - **Cancel any time.** Unsubscribe link in every issue. Want the methodology? ## The system that produced this article. Every post on the Helium42 blog is produced through The Content System — our productised, 9-phase AI content methodology with quality gates between each phase. 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Registered office: 75 Aston Road, Shifnal, England, TF11 8DU. ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Peter Vogel", "url" : "https://helium42.com/blog/author/peter-vogel" }, "datePublished" : "2026-03-10T09:00:00.000Z", "headline" : "AI Compliance for Regulated Industries: Non-Negotiable Framework", "image" : [ "https://helium42.com/hubfs/blog/images/ai-compliance-regulated-industries-hero-hero-1.webp" ], "mainEntityOfPage" : { "@id" : "https://helium42.com/blog/ai-compliance-regulated-industries", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://helium42.com/hubfs/Favicon-1.png" } } } ``` ```json { "@context" : "https://schema.org", "@type" : "FAQPage", "mainEntity" : [ { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "No. The UK uses a principles-based, sector-specific approach. 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