Built around your business, not someone else’s template.

AI solutions development is the design and build of custom software that uses artificial intelligence to solve a specific business problem. That might be a customer-facing assistant, a personalisation engine, a predictive model, a knowledge search tool or a content production system. Unlike off-the-shelf products, these solutions are shaped around your data, processes and customers, which makes them more accurate and more useful for the task at hand.

Buy when an existing tool solves the problem well enough, because it will be faster and cheaper. Build when your needs are specific to your business, when the solution needs to draw on your own data in ways standard tools cannot, or when the capability is a genuine source of competitive advantage. We help you make that call honestly, and we often recommend combining existing platforms with custom elements rather than building everything from scratch.

Common projects include customer and staff assistants trained on company knowledge, product recommendation and personalisation engines, churn and lifetime value models, lead scoring, demand forecasting, automated content pipelines and internal search tools. Most connect to platforms such as Shopify, HubSpot, Klaviyo, Google Analytics and data warehouses, so results flow straight into the tools your team already uses.

It depends on the scope, but we work in stages. A working prototype is often possible within a few weeks, which lets you test the idea with real data and users before committing further. A production-ready solution typically follows over the next one to three months. Larger systems are delivered incrementally so value arrives early and the build stays aligned with what users actually need.

We test every solution against your own data and real scenarios before launch, define what acceptable accuracy looks like for the task and build in checks such as source citations, confidence thresholds and human review where the stakes are higher. Once live, we monitor performance and retrain or adjust when results drift. You can always see how the system reached its answer.

Data protection is designed in from the start. We use secure, reputable infrastructure, apply strict access controls, keep data within agreed regions and avoid sending sensitive information to services that would use it for training. We work within UK GDPR and your own security requirements, and we document how data flows through every solution we build.

We choose technology to suit the problem rather than favouring one vendor. That typically includes leading language models from providers such as Anthropic, OpenAI and Google, alongside established cloud platforms, vector databases and the APIs of the marketing and ecommerce tools you already use. We favour proven, maintainable components so your solution remains supportable for years, not months.

You do. We agree ownership of code, models and data at the start of the project, and we document everything clearly. If you later want to bring the solution in house or move it to another partner, you can. We would rather earn ongoing work by keeping your solution performing well than by making it hard to leave.

Yes. Most clients choose an ongoing support arrangement covering hosting, monitoring, maintenance and improvements. AI models and connected platforms change frequently, so regular care keeps the solution accurate, secure and useful. We also review performance with you and suggest improvements as usage grows and new opportunities appear.

Start by telling us about the problem you want to solve. We will explore it with you, look at the data and tools involved and give you a straight view on whether a custom solution makes sense. If it does, we usually propose a short prototype phase so you can see results quickly before deciding on the full build.