About us

Choosing Your
AI Partner

A man sitting in a chair using a laptop computer.A man and a woman sitting on a couch looking at a laptop.
A man sitting in a chair using a laptop computer.A man and a woman sitting on a couch looking at a laptop.
We started as Al trainers. Good ones - 1,300+ people trained, world- class NPS scores of 70-80, people using Al within 18 minutes of sitting down.

After consistently high-performing sessions, the same question kept coming back:

"Great session. Now what?"

So we built the "now what."

A full adoption pathway-because training without implementation is just entertainment.
Audit
Equip
Automate
Deploy
Who you'll work with
Who you'll work with
Image of Maryrose from AI Institute
Maryrose Lyons

Founder. Background in cyberpsychology and UX. Keynote speaker and host of the ChattingGPT podcast. Identified the Al divide coming in 2023 and founded the Al Institute to close it.

Stephen Redmond

Al Strategy. Leads client engagements from diagnosis through roadmap. 30+ years across analytics and Al, including senior roles with Bearing Point Ireland, Accenture, Deutsche Bank, and CapVentis.

Emma Marlow

Head of Course Development. Designs learning programmes and ensures what is taught actually sticks. 20+ years in communications transformation for Disney, Heineken, L'Oréal, P&G, adidas and more.

Eamonn Dunne

Technical Implementation. Builds the automations and agents that turn strategy into working systems.
20+ years as a software engineer, including roles at Spotify, Kinzen and RapidRatings.

Working with 20+ built environment firms across UK and Ireland - from 50-person practices to 300+ staff consultancies
+1000
VALUES

What we believe

At the AI Institute, our approach is built on principles that guide every project we take on:

A 30-minute call to find where your firm is losing time - and how AI can recover it. Brief report included. No obligation.

Augment, not replace

Helping firms do more with the teams they already have.

Changing how work gets done

Practical use cases, not abstract demos.

Making time count

Hours saved go to thinking, learning, or leaving on time.

Ambition with responsibility

Sustainable adoption that respects the people doing the work.

Ethics, bias & security

Bias awareness, secure data handling, responsible use from day one.

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