AI integration built around your business
Every AI integration and development project starts with understanding. What problem are we solving? What does success look like? How does this fit into the way your teams already work?
We don't arrive with pre-built solutions looking for a home. We start with your challenges, your goals and your operational reality. Then we design AI tools and applications specifically around those needs: something built to do exactly what you need it to do, in the conditions it will run in every day.
A lot of AI looks impressive on a slide deck and breaks in the real world. We build the other kind.
Integration without the chaos
New technology is only valuable if it works with what you've already got. Ripping out existing infrastructure is expensive, disruptive and usually unnecessary. We specialise in AI integration that connects with your current systems and platforms, adding intelligence without adding chaos.
We integrate AI capabilities into the tools your teams already use: CRM, ERP, marketing platforms, internal databases and custom software. Most engagements involve API-level integrations with platforms such as HubSpot, Salesforce, Notion, Slack and Klaviyo, as well as your own data warehouse.
That means faster adoption, lower risk and a smoother path to value. Your people keep working where they're comfortable. The AI just makes that work go further.
We think in systems, not features
A single clever feature rarely changes how a business runs. A system does. We look at where AI can drive measurable efficiency or revenue across a whole workflow, then design the tooling to match. The work typically includes:
- internal GPTs and assistants
- workflow automations
- AI-augmented dashboards
- customer-facing AI features
- automation of processes that previously required human attention
We typically build on top of frontier models (Claude, GPT and Gemini) plus best-in-class API tooling, rather than training models from scratch. That keeps cost and time-to-value low while still delivering bespoke outcomes. You get something built for your business without paying to reinvent the parts that already work. The test for every build is the same: does it drive measurable efficiency or revenue once it's in daily use?
Built for pressure, not demos
Discovery and architecture typically take one to three weeks. Build cycles usually run four to twelve weeks, depending on scope. We work in tight iterative loops (build, test, iterate), so something usable lands in your hands quickly and improves against real use rather than assumptions.
A tool nobody uses is a cost, not an asset. So we pair every build with adoption: training, change management and embedded support, so new tools become part of how your teams work rather than novelty experiments. We build what we know works, and we stay close enough after launch to make sure it does.