AI Integration
AI has moved from experiment to expectation — but most businesses are still figuring out where it actually fits. We help organisations cut through the noise and implement AI in ways that create genuine, measurable value: automating repetitive work, surfacing insights from existing data, and building intelligent interfaces that make your products and services better.
We work at every level of complexity, from a focused automation workflow to a fully custom AI-powered application built around your specific business logic.
Practical AI, Not Hype
The AI landscape moves fast and it attracts a lot of overclaiming. We take a different approach — starting with the problem you're trying to solve, and working out whether AI is actually the right tool. When it is, we build something that works reliably in production, not just in a demo.
That means choosing the right model and approach for the task, integrating it properly with your existing systems, and making sure the output is accurate, auditable, and appropriate for your context. When it isn't the right tool, we'll tell you that too.
Language Models & Conversational AI
Large language models — including Anthropic's Claude, OpenAI's GPT series, and others — have opened up a class of applications that simply weren't viable a few years ago. We integrate these models directly into your workflows and products via API, building on top of them rather than starting from scratch.
Common applications include:
- Intelligent assistants — customer-facing chatbots and internal knowledge tools trained on your documentation, products, or processes
- Content and document processing — automated extraction, summarisation, classification, and generation from unstructured text
- Decision support tools — AI-assisted interfaces that help staff work faster and more consistently
- Search and retrieval — semantic search across large document sets, replacing keyword-limited approaches
We work primarily with the Claude API and have deep familiarity with prompt engineering, context management, retrieval-augmented generation (RAG), and structured output patterns.
Automation Workflows
A significant portion of the work done in most organisations is repetitive, rule-based, and time-consuming — exactly the kind of work that AI and automation can eliminate or accelerate.
We design and build automation pipelines that connect your existing tools — CRMs, ERPs, databases, email, forms, APIs — and apply AI where it adds value: classifying inputs, drafting outputs, routing tasks, flagging anomalies, and generating reports. The result is less manual work, fewer errors, and faster turnaround on processes that used to require human attention at every step.
Custom ML Pipelines & Data Analysis
For organisations with more complex data needs, we build custom machine learning pipelines tailored to your dataset and objectives — whether that's predictive modelling, anomaly detection, clustering, or something more specific to your industry.
We're also experienced in building data analysis tooling that sits on top of your existing data infrastructure, turning raw information into structured insights that are accessible to non-technical stakeholders.
Integration Over Replacement
The most effective AI implementations don't replace your existing systems — they integrate with them. We connect AI capabilities into the tools your team already uses, via APIs, webhooks, and custom-built interfaces, so adoption is straightforward and the value is immediate.
We're experienced building AI integrations with SilverStripe CMS, AWS infrastructure, and a range of third-party platforms. If you have an existing system and want to make it smarter, we can assess what's possible and build a practical path to get there.
Built for Production
AI features that work in testing but fail in production — with inconsistent outputs, unhandled edge cases, or no fallback behaviour — erode trust quickly. We build with production in mind from the start: proper error handling, output validation, logging and monitoring, and clearly defined behaviour when the AI isn't confident.
Security and privacy are treated as first-class concerns, particularly for applications handling sensitive business or customer data.
Have a problem AI might solve? Tell us what you're dealing with and we'll give you an honest assessment — what's achievable, what it would take, and whether it's worth doing. Get in touch →