You've seen the demos and bought the licences. Now you need engineers who can build AI that does real work. We design, build and deploy custom AI agents — and roll out enterprise LLMs like ChatGPT and Claude — so AI actually delivers for your business.
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AI doesn't build, integrate or adopt itself. Off-the-shelf tools only get you so far.
You have ChatGPT Enterprise or Claude for Work seats. A few people tried them. Most haven't logged in since the first week.
Custom agents wired into your workflows, handling defined tasks end to end. Adoption follows because the tools do something useful.
People are using AI on personal accounts and consumer products with no oversight. You don't know what data is going where.
A governance framework, usage policies and security configuration that protect your data while letting the team move fast.
Generic models that don't know your products, customers or processes. Plausible-sounding answers that need heavy editing.
Agents and LLMs connected to your systems and knowledge base, pulling the right context so responses are accurate and usable.
A promising proof of concept stuck on someone's laptop. No path to production, no monitoring, no ownership.
Built by in-house engineers with proper integration, testing, monitoring and handover. Shipped, supported and improved over time.
You have ChatGPT Enterprise or Claude for Work seats. A few people tried them. Most haven't logged in since the first week.
Custom agents wired into your workflows, handling defined tasks end to end. Adoption follows because the tools do something useful.
People are using AI on personal accounts and consumer products with no oversight. You don't know what data is going where.
A governance framework, usage policies and security configuration that protect your data while letting the team move fast.
Generic models that don't know your products, customers or processes. Plausible-sounding answers that need heavy editing.
Agents and LLMs connected to your systems and knowledge base, pulling the right context so responses are accurate and usable.
A promising proof of concept stuck on someone's laptop. No path to production, no monitoring, no ownership.
Built by in-house engineers with proper integration, testing, monitoring and handover. Shipped, supported and improved over time.
Swipe to explore
AI implementation is more than flipping a switch. It's design, engineering, integration, governance and adoption — done properly, by engineers who build for production.
We design, build and deploy custom AI agents that handle defined tasks end to end — grounded in your data, connected to your systems and shipped to production.
Enterprise deployment of ChatGPT Enterprise, Claude for Work or Microsoft Copilot. Platform selection, SSO, usage policies and team enablement.
AI is only as good as the data behind it. We get your data clean, structured and accessible so agents and LLMs have the context they need.
Connect AI to the systems your business runs on. CRM, data sources and internal tools, wired up so AI is context-aware and able to take action.
Policies, procedures and controls that let you benefit from AI while protecting sensitive data. Acceptable use, data classification and compliance frameworks.
Role-specific training and ongoing support to drive adoption, expand use cases and keep your agents and rollouts improving as the field evolves.
Engineering that ships. Agents that deliver outcomes, and AI tools your team will genuinely use.
We map your systems, data and team structure, then pin down the specific problems an agent or rollout should solve. No generic implementations.
Our engineers design the agent or rollout, set up the data foundations, connect your systems and build the controls AI needs to be useful and safe.
We ship to production with monitoring in place, then run role-specific training so people know exactly how the AI helps their day-to-day work.
We track usage, gather feedback, expand use cases and keep the AI improving as models and your needs evolve. Continuous improvement, not one-and-done.
Get an enterprise LLM deployed properly and your team trained and using it.
A custom AI agent designed, built and deployed to production, integrated with your systems and governed properly.
Multiple agents, an enterprise-wide rollout and ongoing optimisation with continuous adoption support.
Every agent we build is scoped to a real job. Here are the patterns we deliver most often.
Agents that draft outreach, summarise accounts and surface the right context from your CRM and product knowledge, so reps spend more time selling and less time digging.
Agents that handle tier-1 enquiries, route complex issues and respond around the clock, connected to your knowledge base and ticketing so answers are accurate.
Agents that take on repetitive back-office work — research, data lookups, document drafting and process steps — with governance so the team can move fast safely.
A custom agent is software we build to handle a defined task end to end — such as triaging support enquiries, drafting sales outreach or running an internal research workflow. It's grounded in your data, connected to your systems and able to take action, not just answer questions.
An enterprise LLM rollout gives your whole team a safe, governed assistant for everyday work. A custom agent automates a specific, repeatable process that off-the-shelf tools can't handle. Most clients start with a rollout, then build custom agents for the high-value workflows worth automating.
ChatGPT Enterprise (OpenAI), Claude for Work (Anthropic) and Microsoft Copilot are the main options. We help you choose based on your security requirements, your existing Microsoft or Google ecosystem and your specific use cases. There's no one-size-fits-all answer, and we stay vendor-neutral.
An AI Foundations rollout can be live in 2–3 weeks. A custom agent typically takes 4–8 weeks depending on integration complexity. Full AI Transformation runs 8–12 weeks or more. We focus on shipping something useful quickly, then expanding.
Governance is part of every engagement. We establish acceptable use policies, data classification rules and security controls, and we build agents with least-privilege access. Enterprise-grade AI has robust data protection — but only when it's configured and integrated correctly.
That's one of the biggest risks we help you avoid. Ungoverned AI means people use personal accounts and paste sensitive data into consumer products. Proper implementation brings AI into the open with the right controls, while giving people better tools than the ones they were sneaking around with.
Yes. We build for production with proper integration, testing, monitoring and documentation, and we hand over cleanly. You can run it yourself or keep us on an optimisation retainer to maintain, tune and expand it as your needs change.
Start with our AI & Data Readiness Assessment (£5,000). It evaluates your systems and data, identifies the best agent and rollout opportunities, and recommends the right approach. You'll know exactly what to build and why before committing to delivery.
We've delivered 300+ implementations across mid-market B2B teams. Technology only delivers value when people use it, so adoption is built into everything we ship.
Our in-house engineers design and ship custom AI agents and enterprise LLM rollouts, and stay close to a fast-moving field.
Agents and integrations built by our own engineers, not subcontracted — designed, tested and shipped to production.
300+ AI and systems implementations shipped across mid-market B2B teams.
Deep, hands-on experience designing and deploying custom AI agents and enterprise LLM rollouts that get adopted.
