AI that makes it to production.
European AI strategy and transformation for organisations of 100 people and up. From the first hands-on hackathon to many agents running at scale, we build the skills, the use cases, the platform and the governance that pilots usually skip.
Nearly every enterprise runs pilots. Almost none of them change anything.
The failure is not technical. Roughly 80% of the work in getting AI use cases into production is data engineering, governance, workflow integration and measurement. The parts that live in the organisation rather than in the LLM.
That is also why bringing in a specialist changes the odds so sharply. It is not better models or tools, but rather someone whose whole job is the unglamorous distance between a working demonstration and a system people actually use and trust.
- of enterprise AI pilots deliver no measurable P&L impact
- 95%
- success rate when a specialist vendor leads vs 33% for internal builds
- 67%
- of companies abandoned most of their AI initiatives during 2025
- 42%
Source: MIT NANDA, The GenAI Divide: State of AI in Business (2025) (PDF, opens in a new tab); S&P Global (2025)
Four stages of AI maturity. Start where you are.
BASE maps how organisations mature with AI, from the first hands-on experiments to many agents running at scale. Your people, platform, process and portfolio each move through the stages at their own pace, so parts of your organisation will be at different stages at the same time. We meet each one where it is, with one of our defined engagements or one we shape around you.
Bootstrap
Awareness & champions
Bootstrap is your way in. At this stage, you’re not looking to create a backlog or a roadmap (that comes in Align), but rather to build real, hands-on understanding of what AI can and cannot do inside your organisation.
Align
Direction & scoping
Align turns awareness into direction. Rather than open-ended strategy decks that nobody follows, it is delivered as a set of pre-defined engagements.
Shape
Building & optimising
Shape is where scoped ideas become production agents and use cases. We build from (and contribute back to) a growing library of building blocks, rather than approach every use case as a blank canvas.
Evolve
Scaling & governance
Evolve is what happens once the capability is real and once the value has been proven. We deliver this as consulting, primarily on retainer, with bespoke engagements as new needs and challenges arise.
The hard part was never the LLM.
Strategy consultants hand over a deck. Development shops hand over a repository. Training companies hand over a certificate. Each is genuinely useful and none of them, on their own, gets an agent into production inside a complex European enterprise.
Solidbase does the three together because they are the same job: the strategy that decides what to build, the people who will own it afterwards, and the agents and use cases themselves. The method comes out of years of experience, first with cloud transformation programmes, then with data infrastructure, and now with AI use cases. We’ve delivered difficult projects for large, sometimes regulated, European organisations and now we’re applying our methodology to the era of AI.
“The hackathon changed how our team thinks about AI. People who had never built an agent were suddenly proposing use cases, and within months our first agents were live and real pain points experienced by our field operators surfaced and were fixed.”
European organisations
Delivery, data and inference stay in Europe. We build for EU AI Act obligations rather than retrofit to them once they bind.
100 people and up
Large enough that AI adoption is an organisational problem rather than a tooling one, which is the problem we actually solve.
High-risk use cases
We have an inclination for use cases where security is paramount, and where the high-risk provisions of the EU AI Act apply.
Tell us where your AI programme actually is.
Let’s have a conversation about what you have running, what has stalled, and whether any of it is the kind of problem where our experience is useful.
