Custom Generative AI
Practical AI that delivers real business value
Generative AI is transforming how organisations operate, but cutting through the hype to deliver real value requires experience and pragmatism. We build custom AI solutions that integrate seamlessly into your existing workflows, using proven architectures and enterprise-grade security.
Our AI capabilities
We build where AI delivers proven value: connected to your data, integrated with your systems, and built to enterprise security standards.
Microsoft Copilot Customisation
Extend Copilot with your own data sources, custom actions, and tailored workflows, so it works the way your business works, not the other way around.
RAG (Retrieval-Augmented Generation)
Connect AI to your enterprise knowledge base for accurate, context-aware responses grounded in your own data, not just general model knowledge.
Azure OpenAI Integration
Build bespoke AI features using GPT models with enterprise compliance and data sovereignty. Your data stays within your security boundary at all times.
AI Agent Development
Design and deploy autonomous agents that handle complex multi-step tasks, from intelligent document processing to automated decision support workflows.
Enterprise-ready AI
Our AI solutions are built with the same rigorous security and compliance standards as all our software, whether you're in the public sector, financial services, or education.
Pragmatic over hype
We cut through the noise. Every AI capability we recommend has a clear business case and a measurable outcome. If AI isn't the right tool for a given problem, we'll tell you.
Model-agnostic architecture
We future-proof your AI investment by avoiding lock-in to any single model provider. Swap or upgrade models as the landscape evolves without rebuilding your entire solution.
Enterprise-grade security
AI solutions are built with the same rigorous security and compliance standards as all our software. Data stays within your security boundary, access controls enforced at every layer.
Responsible by design
We follow a structured approach to AI adoption that balances innovation with responsibility, including bias evaluation, audit trails, and human-in-the-loop controls where needed.
Our 4-step AI delivery process
From identifying the right opportunities to building production-ready solutions, we follow a structured approach that balances speed with rigour.
AI Opportunity Assessment
We start by understanding your business workflows, data assets, and strategic goals. Using a task-based evaluation framework, we identify where AI will deliver the greatest impact, and where it won't. You'll receive a prioritised roadmap of AI opportunities with effort and value estimates.
Solution Design & Proof of Concept
We design the target-state AI architecture, selecting the right models, retrieval strategies, and integration patterns for your context. A focused proof of concept validates the approach and gives you tangible evidence of value before committing to full delivery.
Build & Integration
We build the production AI solution in agile sprints, integrating with your existing systems and data sources. Security, compliance, and responsible AI controls are embedded throughout, not bolted on at the end. Regular demos keep stakeholders aligned and informed.
Launch & Continuous Improvement
After user acceptance testing and sign-off, we deploy your AI solution to production. Post-launch, we monitor performance, gather feedback, and iterate. AI capabilities evolve quickly. Our model-agnostic approach means you can benefit from new developments without a full rebuild.
Your extended team of experts
Our permanent, onshore team takes the time to understand your business, data, and goals. Here's who will help bring your AI vision to life.
AI Solutions Architect
Designs the overall AI architecture, selects appropriate models and retrieval strategies, and ensures the solution meets your security and compliance requirements.
ML / AI Engineer
Implements the AI pipeline, from data ingestion and embedding to model integration, prompt engineering, and response evaluation.
Backend Engineer
Builds the APIs, services, and integrations that connect your AI capabilities to your existing applications and data sources.
Delivery Manager
Your main point of contact throughout the project. Manages scope, timeline, and stakeholder communication to keep delivery on track.
Business Analyst
Translates your business requirements into technical specifications, ensuring the AI solution solves the right problems in the right way.
QA Analyst
Oversees testing of AI outputs for accuracy, reliability, and safety, including adversarial testing and evaluation against agreed acceptance criteria.
Frequently asked questions
What's the difference between using off-the-shelf AI and a custom solution?
Off-the-shelf AI tools (like standard Copilot or ChatGPT) work with general knowledge. Custom solutions connect AI to your data, processes, and systems, giving you context-aware, accurate outputs that generic tools can't produce. They're also built to your security and compliance requirements.
How do you ensure our data stays secure?
We build on Azure OpenAI Service, which means your data never leaves your Azure tenancy and is never used to train public models. We enforce role-based access controls, apply encryption in transit and at rest, and conduct security reviews as part of every delivery.
Do I need to have all my data in order before starting?
Not necessarily. The AI Opportunity Assessment helps us understand the current state of your data and what's needed to make each use case viable. We can help you identify gaps and pragmatic approaches to address them as part of the project.
What if a better AI model is released after we've built?
Our model-agnostic architecture is designed precisely for this. We abstract the model layer so that swapping to a new or better model is a configuration change, not a rebuild. Your business logic, data pipelines, and integrations remain intact.
Can you work with our existing Microsoft 365 / Copilot licences?
Yes. We're experienced in extending and customising Microsoft Copilot using Microsoft 365 Copilot extensibility features, Copilot Studio, and Azure OpenAI, so we can build on top of licences you already have and maximise your existing investment.
Ready to put AI to work in your organisation?
We help you identify the right AI opportunities, validate them quickly, and build production-ready solutions that integrate with your existing systems, without the risk of going it alone.
Book a free consultationor call 01202 375647