Data & Analytics — Artificial Intelligence Solutions
Artificial intelligence is creating new opportunities to make information easier to access, analytics more powerful and software development more productive. We help organisations identify practical applications for AI and introduce them within secure, well-governed technology environments.
We focus on specific opportunities where AI can make everyday work easier — not technology for its own sake.
AI agents can make large volumes of policies, procedures, guidance and other organisational knowledge easier to access — allowing users to ask questions naturally and receive answers grounded in approved source material.
AI capabilities are increasingly becoming part of modern analytics platforms. Microsoft Fabric and Power BI provide opportunities to augment traditional reporting with natural-language interaction, AI-assisted analysis and intelligent data processing.
Modern AI development tools can improve productivity across coding, testing, documentation and problem solving — helping development teams deliver and iterate more efficiently.
Not every problem needs AI. We identify applications where AI can deliver meaningful value while maintaining appropriate controls around security, accuracy and governance.
AI is an emerging extension of our established data, analytics and software work — not a separate, speculative capability.
We build AI agents that let users interact naturally with complex organisational information. For example, we have developed an Azure-based agent capable of interpreting and answering questions across more than 40 detailed information security policies — grounding responses in the organisation's approved source material.
Our work implementing Microsoft Fabric and Power BI provides the data foundations required to take advantage of Microsoft's rapidly developing AI capabilities. We incorporate these capabilities into our analytics work as they mature, including AI-assisted analysis, natural-language interaction with data and intelligent data processing.
We use modern AI development tools within our own software engineering processes, including Microsoft Copilot, OpenAI/Codex and Claude. These tools support software development, code review, troubleshooting, documentation and prototyping — helping us explore how AI can improve both productivity and the solutions we build for customers.
We start with what you are trying to achieve, test ideas quickly through a focused proof of concept, and only scale what proves useful.
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Start with the business problem rather than the technology. Identify processes where better access to knowledge, automation or AI-assisted analysis could deliver tangible value.
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Assess the underlying data, documentation, technology environment, security requirements and governance needed to support the proposed solution.
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Develop a focused proof of concept and test it against real-world questions and scenarios before committing to a wider implementation.
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Introduce successful solutions within an appropriately controlled environment and continue to evaluate performance, accuracy and user value.
Effective AI rarely starts with AI alone. Reliable data, secure cloud infrastructure, well-designed analytics and appropriate governance are fundamental to deploying AI successfully.
Our existing capabilities across Microsoft Fabric, Power BI, Azure, data engineering, software development and information security provide a strong foundation for helping customers explore and implement practical AI solutions.
AI becomes a natural extension of capabilities we already possess — not a new and unproven specialism.
Talk to us about a focused AI proof of concept designed to test your idea against real data, documents and business requirements before committing to a larger investment.
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