AI Studio
From strategy and roadmaps to custom models, agents and automation, we help ambitious organisations put AI to work — safely, measurably and in weeks rather than quarters.
From first roadmap to production systems — strategy, custom development, autonomous agents and the data plumbing underneath. One senior team, end to end.
See how we workExplore Our Services:
We find the handful of AI opportunities that will actually move your numbers, then sequence them into a roadmap your board can fund and your team can deliver.
Bespoke AI products and internal tools built on your data: retrieval-augmented assistants, document intelligence, forecasting and generative features shipped into the software you already use.
Assistants and autonomous agents that resolve tickets, triage inboxes, reconcile records and run multi-step workflows — with the guardrails and human sign-off your risk team expects.
AI is only as good as the data and systems around it. We design the pipelines, vector stores and integrations that connect models to your CRM, ERP and knowledge bases.
From kick-off to a working prototype on your data
Every engagement starts with something you can click.The right model for the job, never a vendor default
Frontier APIs or open weights, chosen per use case.Approvals, audit trails and rollback built in
Automation your risk and compliance teams can sign off.Data residency and retention agreed before any build
UK and EU hosting options as standard.Priced per phase with clear deliverables
No open-ended day rates, no surprise invoices.Engineers and strategists who have shipped AI in production
No juniors learning on your budget.Platforms we build on
Every engagement starts with the number you want to move — support cost per ticket, hours of manual data entry, days to close a quote. We design the AI around that metric and instrument it from day one, so you can see whether it is working.
We start with a narrow, high-value slice and put a working version in front of real users within two to four weeks. That de-risks the investment, surfaces data problems early and gives your stakeholders something concrete to react to.
Evaluation suites, bias and drift monitoring, approval steps and rollback procedures are part of the build, not an afterthought. Your AI operates reliably, your people stay in control, and your compliance team gets the audit trail it needs.
Every review published here is verified and credited to the person and the platform it came from. Nothing else goes in this space.
“Sample quote. Replace with a verified client statement — for example how the support copilot changed first-response times, and what it freed the team up to do instead.”
Engagement: Agents & Automation · source to be confirmed
“Sample quote. Replace with a verified client statement — for example what the first pilot delivered in its opening quarter, and how the roadmap landed with the board.”
Engagement: Strategy & Build · source to be confirmed
“Sample quote. Replace with a verified client statement — for example how fixed-scope pricing and weekly demos compared with previous suppliers.”
Engagement: Data & Integration · source to be confirmed
“Sample quote. Replace with a verified client statement — for example the experience of shipping a generative feature into an existing product without disrupting the roadmap.”
Engagement: Custom AI Development · source to be confirmed
Six phases, each with a fixed scope and a tangible deliverable. You can stop at any gate with something useful in hand.
Workshops and technical audits to understand your goals, data landscape and constraints. Output: a prioritised roadmap with business cases you can fund.
We assess data readiness, design the system architecture and select models and frameworks, so the build rests on solid foundations and the right infrastructure.
A working prototype in two to four weeks, tested with real users and real data. This proves the approach before significant investment.
The full production system: APIs, integrations, interfaces and the connections into your existing tools and workflows.
Evaluation across accuracy, performance, edge cases and security, then deployment with monitoring dashboards, alerts and rollback procedures.
Ongoing monitoring, retraining with new data and cost optimisation. As needs grow we add capabilities and extend the system to new teams.
Each figure is measured against the client’s own baseline and published with their sign-off. Nothing goes on this page that we have not measured.
Parcel delivery · UK
A voice agent that runs first-stage recruitment calls, so the hiring team’s time goes to the candidates worth speaking to.
Discuss this solution
Email campaigns and social posts drafted in Coach USA’s own voice, queued for a marketer to review before anything goes out.
Discuss this solutionAI brought into printed circuit board design, working alongside the engineers who sign the board off.
Discuss this solutionMost organisations are readier than they think. If you have repetitive processes, high volumes of customer conversations, documents nobody has time to read, or data sitting unused, there is a case to explore. Our discovery phase is designed to answer this question honestly, including telling you when AI is not the right tool.
Discovery and strategy typically runs two to three weeks. A focused prototype takes two to four weeks. Production builds vary with integration complexity, but most first releases ship within two to three months of kick-off.
We are model-agnostic. We work with frontier APIs from OpenAI, Anthropic and Google, open-weight models from Meta and Mistral, and deploy on AWS, Azure or Google Cloud depending on where your data already lives and what your compliance team requires.
Each phase is fixed-scope and fixed-price, agreed before it starts. Ongoing optimisation is available as a monthly retainer. We will share indicative ranges on the discovery call once we understand the scope.
Data residency, retention and access controls are agreed before any build. We use enterprise API tiers that do not train on your data, encrypt in transit and at rest, and can deploy fully within your own cloud tenancy where required.
We design systems that take on repetitive, time-consuming work so your people can focus on judgement, relationships and creativity. Human oversight is built into every workflow we ship, and we train your team to own the system after handover.