Turning AI ambition into everyday advantage

We started as AI trainers

We trained teams across structural, civil and M&E engineering, architecture, quantity surveying, construction and data centres, in firms throughout Ireland and the UK.

From the beginning, we measured the impact of that work, through AI-supported evaluation, participant feedback and what happened after the training. Our training NPS consistently sits in the 70s and 80s, which may not mean much to you unless you're L&D. The real measure is that clients come back to work with us and they recommend us to others.

We added strategy and use-case workshops

As our AI training proliferated across teams, the question shifted from how to use AI to how to plan for it: how do we make this deliberate rather than ad hoc?

These sessions help leadership teams understand where AI fits in their business, decide which direction to take, and identify the processes worth tackling first. They are also where we often uncover the problems that training alone cannot solve.

We began to offer agent build

Training will not solve every problem. There are some big "how we do things" processes that can be best solved by agent build.

We first thought we might help people to learn how to do this for themselves; then we realised that time-poor engineers, architects, quantity surveyors and construction and data centre companies don't always want to learn how to do that. So we added technical build skills to our team. This can be a natural add-on to a training programme, or it can be a stand-alone in itself.

We call it Capability

2026 is moving fast, and because we work at the very edge of AI adoption, we introduced a new service. It brings together three things our clients need at the same time.