Services
Whether you are selecting a technology platform for the first time, trying to recover value from one that is underperforming, or building the operational discipline to run AI at scale, these are the four disciplines we bring to every engagement.
Who we work with
You have a budget and a shortlist. You need independent expertise to evaluate which platform fits your situation and help you build a business case the board will approve, with no stake in which option you choose.
The platform is live. The results are not. You need a team that can diagnose what is wrong, fix it without starting again, and give your leadership a clear account of what changed and what it delivered.
AI is live in your products or operations with no audit trail, no risk classification, and no formal governance. You need to close that gap before EU AI Act obligations, board questions, or an incident forces your hand.
We define the problem before proposing a solution. Most organisations arrive with a technology question. The real question is usually about the business outcome they have not been able to reach. We work backwards from the outcome and build the case for what needs to change.
This is where both journeys start: whether you are selecting a platform or trying to fix one that is not working.
Start with a free workshopThree hours. No cost. A concrete output your leadership can act on immediately. Not a presentation deck.
Independent evaluation of your shortlist. Business case modelling, integration risk assessment, and vendor negotiation support.
A formal assessment of your AI programme, data architecture, integration landscape, cost profile, and governance posture.
A quantified business case for each recommendation, with modelled return on investment and a prioritised remediation roadmap.
We build on the platforms you have chosen or already own. From the first user research session to a production-ready system. Senior practitioners throughout, not graduate resource managed from a distance.
We do not walk away when the implementation is done. The Proof of Value Sprint is designed to produce working results your team can measure and manage.
Talk to our teamGDS-aligned discovery, user research, and service blueprinting. We understand who your users are and what they actually need.
End-to-end Shopify Plus delivery: storefront, checkout, payment integration, loyalty, and the data layer that makes AI personalisation work.
Agent design, data preparation, CRM configuration, and the integration architecture that allows agents to act reliably in production.
Data readiness, knowledge architecture, permission governance, and Copilot deployment that delivers the productivity results it was bought for.
We build the data infrastructure that makes AI work in practice. Most AI programme failures trace back to the data layer: fragmented identity, broken integrations, inaccessible data, or a knowledge architecture that does not support what the AI needs to do.
We fix that layer and then build the bridge from proof of concept to production, with the cost governance and attribution your finance team needs to see.
Talk to our teamIntegration layer design using Model Context Protocol, connecting your AI systems to the data they need to act reliably in production.
Fragmented customer data fixed at the source. Single customer view built across your CRM, commerce, and data warehouse systems.
Retrieval-Augmented Generation systems that give your AI access to accurate, governed, and up-to-date organisational knowledge.
Attribution of cloud AI spend to product, team, and business outcome. Visibility your board can interrogate and your finance team can manage.
We stay accountable after delivery. Ongoing platform management, AI output validation, cost governance, and compliance monitoring, with clear reporting to your leadership team every month.
For organisations without in-house AI operations expertise, we act as a fractional Head of AI Operations, embedded within your governance and reporting directly to your leadership team.
Talk to our teamSenior AI operations leadership without a full-time hire. Embedded in your governance, reporting to your CTO or CDO.
Structured testing of AI output quality, decision reliability, and behavioural drift. Not traditional QA. Purpose-built for AI systems.
Risk classification, audit trail implementation, governance documentation, and ongoing monitoring against EU AI Act obligations.
Continuous customer journey monitoring. Friction surfaced in real time. Revenue-quantified findings delivered monthly with recommended actions.
Start here
The Discovery Workshop gives your leadership a clear view of where to start and what it is worth doing. No obligation to proceed beyond the session.
Three hours. No cost. A concrete starting point.
Book the free workshopBefore you go
A 15-minute self-assessment showing exactly where your AI programme stands. Used by more than 300 technical and commercial leaders across the UK and Europe.
Business email only. We will never share your details.