Leaders want AI that sparks innovation, empowers people and protects the business while delivering results that matter. Our consulting is built around people, not tools.
Trusted by top teams
We bring the same structured, secure approach that has delivered complex digital platforms for enterprise and regulated organisations. Our experience in technology and transformation underpins how we help SME's adopt AI in a practical and measurable way.
The state of AI
78%
Use AI, but most see no profit. (McKinsey 2025)
71%
Already using generative AI, but strategy lags behind.
80%+
Fail to turn AI pilots into profit.
47%
Report risks, accuracy, compliance and IP breaches.
The DIVA Framework
AI adoption only succeeds when it is structured. Our DIVA framework gives organisations a clear process that links ambition to delivery, making results measurable and secure from the start.
- Discover — Workshops to explore challenges and opportunities, building shared understanding of AI’s potential impact.
- Ideate — Generate and refine use cases that balance feasibility with commercial value.
- Validate — Test prototypes with users, IT and Compliance to evidence what works and flag risks.
- Align — Turn validated ideas into a roadmap with milestones, responsibilities and monitoring for sustainable adoption.
With DIVA, adoption moves from pilot to scale with the right guardrails in place. The outcome is adoption that reduces risk, accelerates delivery and proves ROI in terms leadership can act on.
Trusted tools and platforms
We are technology-agnostic. Our role is to help you evaluate, govern and integrate the right platforms so adoption is structured and measurable.
Where we have proven expertise:
- Microsoft Azure – secure, scalable AI adoption built on enterprise-grade cloud.
- OpenAI – generative and agentic models tuned for business use.
- Enterprise platforms – Umbraco, Optimizely and other systems already powering digital estates.
The value isn't the tool. The value is adoption that is designed, governed and measurable.
AI Adoption in Small and Medium Enterprises
"One of the first reports to investigate how SMEs can generate value from AI adoption. It highlights challenges and uncovers significant opportunities"
Theo Paraskevopoulos, CEO

AI consultancy FAQs
Start with a structured assessment of where AI can add value in your business. This means reviewing workflows, data readiness, culture and governance before committing budget to tools. A clear roadmap avoids wasted spend and ensures adoption delivers measurable outcomes.
Proving ROI from AI requires setting baseline metrics before adoption and tracking improvements in efficiency, cost savings and revenue growth. ROI is demonstrated when productivity gains and compliance improvements outweigh the cost of pilots, tools and delivery.
Compliance risk is avoided by building guardrails into AI adoption from the start. That means policies on data use, clear governance workflows, and security standards aligned with regulations such as GDPR. Structured adoption ensures AI is both safe and auditable.
If teams are already experimenting with AI, the next step is to bring those activities under governance. A formal framework turns scattered use into managed adoption, protecting brand voice, ensuring compliance and capturing value at scale.
Choosing a tool should come after defining your AI strategy. The value lies in adoption, not the technology itself. Once objectives and policies are set, you can evaluate platforms against your needs and integrate them safely into workflows.
AI enhances jobs by automating repetitive tasks and freeing teams to focus on higher-value work. Adoption done well improves productivity and decision-making without displacing people. The goal is safer, more efficient teams, not replacement.
"Too many firms start with technology. We start with people. Just as digital transformation only created value when it became human-centred, AI adoption only delivers when it is pragmatic, structured and designed around the organisation."
Adam Weston