Secure AI Adoption & Consultancy for UK Businesses
Grounded in hands-on AI consultancy and engineering support, CyPro offers an end-to-end service aligned to ISO 42001, enabling you to realise the business benefits of AI use quickly and safely.
What is AI Consultancy?
Your staff are already using AI and with the AI industry advancing at an unprecedented pace, new technologies, regulations and risks are emerging daily.
We believe Aritfical Intelligence (AI) should not be viewed as the enemy – it is the largest business enabler we have seen in recent years and just needs to be used securely and with appropriate governance. As organisations increasingly integrate AI into existing processes and products, employees are also adopting AI for everyday tasks. At the same time the market is saturated with bold claims about AI, making it critical for businesses to distinguish genuine capability from hype. To remain competitive, businesses have little choice but to embrace AI and embed it responsibly across their operations.
We provide an end-to-end UK AI consultancy and engineering managed service designed to support you through your entire AI journey. We provide a structured, risk-led approach that enables you to adopt AI quickly, safely and in a controlled manner.
We provide three different models of engagement, from strategic AI consultancy services for UK businesses, down to hands-on AI engineering support to actual build and run your AI infrastructure on your behalf. Our AI Consultancy UK approach builds on the same core principles; security, governance, regulatory awareness and people, but varies in depth and level of involvement.
Also Known As
Our AI Consultancy service “Secure AI Adoption” is also referred to as AI consulting, Generative AI consulting, AI Security, AI Readiness or AI advisory services. Whether you need an AI consultant to guide strategy, a technical AI engineer to support for generative AI adoption, or a AI compliance expert to help you achieve ISO 42001 certification – we can help.
AI Consultancy Engagement Models
ContACt UsApproach 1: Strategic AI Advisory
This approach is designed for organisations right at the beginning of their AI journey.
Through CISO support and development of an AI-integrated Cyber strategy Roadmap, CyPro provides senior level AI Consultancy services that help organisations define their AI direction, with AI assurance and AI security considered from the outset. This approach focuses on clarity and confidence, allowing organisations to take their first steps into AI without committing to technology or delivery.
Approach 2: Secure AI Engineering
This approach is suited for organisations ready to move from planning into delivery and want their AI environments engineered securely from the outset. We takes a hands-on role in designing and implementing AI platforms, embedding security, governance and risk controls directly into technical architecture rather than layering them on afterwards.
Our AI security engineers work alongside your team to assess risks in context and integrate appropriate tools to build secure, scalable AI environments within your infrastructure.
Approach 3: AI Compliance as a Service (ISO 42001)
This AI Consultancy approach is designed for organisations that want to adopt and scale AI safely, without needing to manage the complexity themselves. Our AI strategy consulting helps organisations define how AI, including generative AI, should be used in line with business goals and regulatory expectations.
We provide a managed service that covers the full AI lifecycle. From shaping how AI should be used and AI policy & AI governance framework development, to securely designing and building AI environments, into ongoing operation, oversight and assurance. We design and implement secure AI environments with governance and security built in from the beginning.
We support organisations in meeting AI-related regulatory requirements including standards such as ISO/IEC 42001, ISO27001 and EU:AI Act Readiness and guide them through AI audits. Beyond initial delivery, CyPro provides ongoing management across people, processes, and technology including maintaining security controls, implementing awareness and empowerment programs, and supporting responsible day-to-day AI use. This approach enables organisations to use AI confidently and at scale, while minimising operational burden.
Whats Included in our AI Consultancy Service?
Secure AI Awareness Training
We create AI specific targeted educational programmes, measure levels of awareness and help your staff to secure themselves and your organisation.
AI Tech Stack Selection
We objectively evaluate what AI tools (Azure Foundry, n8n, Claude / Anthropic, Co-Pilot, Perplexity, ChatGPT, Gemini…) are best for your business objectives and risk appetite.
ISO 42001 AI Compliance
We provide expert advice on compliance to standards such as ISO 27001, ISO 42001 and the EU AI Act ensuring you remain compliant while building out your AI framework.
Secure AI Architecture Review
A Cyber Security architect will provide recommendations on how you build AI technology, infrastructures and products, minimising risks across your organisation.
AI Strategy & Roadmap
We help define your AI security objectives and align them with your business goals and map our a clear roadmap to enhance your AI Strategy & Resilience.
AI Readiness Assessment
We evaluate your current cyber security & AI posture against industry standards (e.g. ISO 42001) to prepare your organisation for safe and compliant AI adoption.
Challenges addressed by Secure AI Adoption
AI Hallucinations
Generative AI systems can produce confident but inaccurate or fabricated outputs, creating hidden compliance and operational risks. When AI-generated content is relied upon for decision-making, reporting or customer-facing activities, organisations risk breaching regulatory requirements, disseminating false information and undermining governance controls without effective validation, oversight and accountability mechanisms in place.
Data Residency & Sovereignty
AI systems often rely on large, distributed datasets and third-party cloud based platforms, creating uncertainty over where data is stored, processed and accessed. You will have contract obligations around internal data transfers you need to abide by. With cross-border data flows and opaque vendor practices, organisations struggle to maintain control of sensitive information put into AI solutions, creating legal and regulatory risk.
"No Model Training" Over-Reliance
If a cloud based AI provider states that they don’t use your data for model training purposes that does not mean it is safe to disclose confidential data into that solution. A “we don’t train on your data” clause (such as that in Claude’s corporate license) doesn’t change the fact that staff will still likely be sending highly sensitive operational information to an external processor.
Unquantified AI Risk
Almost all organisations already have AI in use, with staff adopting a variety of AI tools for everyday work. While the potential is clear, the lack of visibility into which tools are being used, and how, can make it difficult to move forward with confidence. Without a clear understanding of how AI applies to their business, organisations find it difficult to make informed decisions about how to securely implement AI without limiting productivity.
Emerging AI Regulation
Regulatory uncertainty in this fast-paced evolving environment further complicated AI adoption. With emerging frameworks such as the EU AI act and new standards like ISO42001, organisations are unsure which obligations apply to them and how to demonstrate compliance.
AI Cultural Change
AI adoption is not solely a technical challenge but also a cultural one. Many organisations struggle with resistance to change, uncertainty about how AI will affect roles and a lack of trust in automated decision making. In some cases, employees adopt AI informally without guidance putting the business at risk of shadow AI and unmanaged AI-related risks.
AI Hallucinations
Generative AI systems can produce confident but inaccurate or fabricated outputs, creating hidden compliance and operational risks. When AI-generated content is relied upon for decision-making, reporting or customer-facing activities, organisations risk breaching regulatory requirements, disseminating false information and undermining governance controls without effective validation, oversight and accountability mechanisms in place.
Data Residency & Sovereignty
AI systems often rely on large, distributed datasets and third-party cloud based platforms, creating uncertainty over where data is stored, processed and accessed. You will have contract obligations around internal data transfers you need to abide by. With cross-border data flows and opaque vendor practices, organisations struggle to maintain control of sensitive information put into AI solutions, creating legal and regulatory risk.
"No Model Training" Over-Reliance
If a cloud based AI provider states that they don’t use your data for model training purposes that does not mean it is safe to disclose confidential data into that solution. A “we don’t train on your data” clause (such as that in Claude’s corporate license) doesn’t change the fact that staff will still likely be sending highly sensitive operational information to an external processor.
Unquantified AI Risk
Almost all organisations already have AI in use, with staff adopting a variety of AI tools for everyday work. While the potential is clear, the lack of visibility into which tools are being used, and how, can make it difficult to move forward with confidence. Without a clear understanding of how AI applies to their business, organisations find it difficult to make informed decisions about how to securely implement AI without limiting productivity.
Emerging AI Regulation
Regulatory uncertainty in this fast-paced evolving environment further complicated AI adoption. With emerging frameworks such as the EU AI act and new standards like ISO42001, organisations are unsure which obligations apply to them and how to demonstrate compliance.
AI Cultural Change
AI adoption is not solely a technical challenge but also a cultural one. Many organisations struggle with resistance to change, uncertainty about how AI will affect roles and a lack of trust in automated decision making. In some cases, employees adopt AI informally without guidance putting the business at risk of shadow AI and unmanaged AI-related risks.
What Our Clients Say
Benefits of our AI Consultancy Services
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Achieve AI Compliance
We help you achieve AI security certifications such as ISO 42001 and regulatory standards such as the EU AI Act. We handle the process end-to-end for you, ensuring that the right actions are taken to meet the stringent security and privacy requirements.
Identify Cost Efficiencies
We reduce the strain on internal teams by providing AI advisory, governance, compliance and/or fully managed AI consultancy services. This allows you to mature your AI capabilities without overstretching existing resources or capabilities.
Secure Cultural Readiness
We support you in building the understanding, trust and capability required for responsible AI adoption. Through our AI empowerment program, AI is embedded into everyday ways of working rather than remaining isolated or underutilised.
Build Secure AI Environments
We design and build secure, production-ready AI environments on your behalf, removing the complexity of securely designing and operating AI infrastructure, with security controls embedded by design.
Reduced Data Leakage
By implementing strong data controls, access management and secure AI operating practices, we significantly reduce the risk of sensitive data exposure and intellectual property loss.
Faster AI Adoption
We want you to realise the benefits of AI quickly. We accelerate AI transformation by handing the security, governance, and operational setup, moving you quickly from experimentation to live use and operationalisation.
In-House vs AI Consulting Managed Service
Managing AI internally places significant strain on governance, security and operational teams as AI usage scales. A Managed AI Service provides structured oversight, specialist expertise and scalable controls to support safe, compliant AI adoption. Here’s how they compare.
| Factor | In-House | AI Consulting Managed Service |
|---|---|---|
| Governance | Informal or inconsistent governance models | Defined AI governance framework with clear accountability |
| Expertise | Reliant on limited internal AI and risk expertise | Dedicated AI, security and governance specialists |
| Risk Management | Reactive risk identification | Proactive risk identification and continuous oversight |
| Scalability | Difficult to scale controls as AI use grows | Scales as AI adoption and use cases expand |
| Compliance | Unclear alignment to emerging regulation and standards | Ongoing alignment to ISO 42001 and regulatory expectations |
| Operational Efficiencies | Significant internal time and coordination required | Reduced internal workload through managed oversight |
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Frequently Asked Questions
- Do we need to have an AI strategy before engaging CyPro?
No. Many organisations engage CyPro precisely because they do not yet have a clear strategy for their AI transformation. Our AI Consultancy services are designed to support clients from the very beginning of their AI journey, helping them define direction, priorities and governance before making any technology or investment decisions
- Can we start with one engagement approach and move to another later?
Yes. CyPro’s AI Consultancy services are modular and flexible. Clients can engage with a single approach or progress through multiple approaches as their AI maturity, confidence and requirements evolve over time.
- How does CyPro stay aligned with evolving AI regulation?
CyPro actively monitors developments in AI-related regulation and standards, including the EU AI Act and ISO 42001. Our AI Consultancy services focus on building adaptable governance and control structures so organisations can respond effectively as regulatory requirements change.
- Do these services replace our existing IT, data or AI teams?
No. CyPro is designed to complement existing teams, not replace them. Depending on the engagement approach, we can provide advisory oversight, targeted guidance or full delivery support while working alongside internal capabilities.
- How long do AI engagements typically last?
Engagement length varies depending on the approach. AI Consultancy services may run over a few weeks, while guidance, compliance and full-suite engagements may span several months or operate on an ongoing basis. Timelines are tailored to each client’s objectives and maturity.
- How does AI fit with CyPro’s existing cyber services?
AI is treated as an extension of the organisation’s cyber and risk landscape. CyPro’s AI Consultancy UK services build directly on our existing capabilities, including vCISO, risk assessment, compliance, security operations, resilience and awareness training.
- What happens if AI regulations change after we engage CyPro?
Our approach prioritises adaptable governance and assurance rather than point-in-time compliance. This means organisations are better positioned to respond to regulatory changes without needing to redesign their AI governance or controls.
- What if we are unsure which engagement approach is right for us?
CyPro works with clients to assess their current AI maturity, risk exposure and objectives before recommending an appropriate engagement approach. If you are unsure where to start, we can help guide that decision.
- What is AI Governance?
AI governance is the set of policies, controls, and processes that ensure AI is used responsibly, securely, and in line with legal and ethical expectations across your organisation.
- What is ISO 42001 Certification?
ISO 42001 is an international standard that helps organisations establish an AI Management System (AIMS) to manage AI risks, ensure accountability, and demonstrate responsible AI use. The certification allows organisations to prove they are using AI responsibly and with appropriate oversight.
- Do we need an AI Audit?
An AI audit helps you understand how AI is being used across your organisation, identify risks, and ensure systems and AI processes meet regulatory and governance requirements. This is recommended for organisations that have active AI in use across operations.
- What is Shadow AI?
Shadow AI refers to AI tools or systems being used by employees without formal approval, oversight, or security controls, often creating compliance and operational risks.
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