Overview
Most businesses know AI is important. Few know where to start — or how to separate the tools that will genuinely change their operations from the noise that won't.
We build software for a living, and we use AI in that work every day. We won't recommend AI for its own sake. The first step is a readiness audit: we look at where your data, processes and team are today, and give you a written recommendation. That recommendation may be that AI is not worth building for you yet.
This isn't a change management programme. It's practical capability building — strategy, tooling, and implementation — delivered at the pace your business needs.
What's Included
- AI readiness assessment — an honest audit of where your data, processes, and team are today, and what's actually achievable in the near term
- AI strategy and roadmap — a prioritised plan for where to deploy AI, tied to business outcomes not technology trends
- Workflow automation — identifying and automating manual, repetitive processes using AI and LLM-powered tooling
- Custom AI product development — building AI-native features, internal tools, and customer-facing assistants on top of leading models (OpenAI, Anthropic Claude, Google Gemini)
- MCP & agent integration — connecting your systems to AI agents via the Model Context Protocol for programmatic access, service discovery, and automation
- Prompt engineering & fine-tuning — getting the most out of foundation models for your specific use case
- Team enablement — practical training and tooling so your people work with AI effectively, not around it
- Responsible AI review — a written review of how your team uses AI tools today: what data goes into them, who can see the output, and where the risks are
Who This Is For
- Business leaders who know AI matters but need a clear, commercial view on where to invest
- Product teams that want to build AI-native features into their product without getting lost in infrastructure
- Operations teams with manual, data-heavy workflows that are obvious candidates for automation
- Founders building AI-first products who need technical partners with real delivery experience
What We Don't Do
We don't run generic AI awareness workshops. We don't sell licences. We don't produce strategy decks that gather dust.
We build things, measure them, and iterate based on what the data says.
Technologies & Platforms
- Models: OpenAI GPT-4o, Anthropic Claude, Google Gemini, open-source models (Llama, Mistral)
- Agent frameworks: Claude Agent SDK, LangChain, custom orchestration
- Protocols: Model Context Protocol (MCP) for AI-to-system connectivity
- Automation: n8n, Make, custom webhook architectures
- Infrastructure: Cloudflare AI, AWS Bedrock, Google Vertex AI
Get Started
If you're not sure where AI fits in your business — or you have a clear idea but need the technical capability to deliver it — start with a conversation.
Book a call and tell us where you are and what you're trying to achieve →