The Aiforya Story

The Journey

I founded Aiforya because I kept seeing the same thing. Many organisations do not use AI officially because they do not know where to start. In others, everyone uses their own tool, with no joined-up approach. Policies are written for legal teams that nobody else ever reads. And there is a growing gap between how confident leaders think their teams are with AI, and what is actually happening day to day.

What sets me apart?

I did not come to this through frameworks and textbooks. I have been wired to help people make sense of complexity since long before it was a job title. I was the person in the family setting up everyone’s televisions, figuring out the latest software before anyone else, always finding it completely natural to understand how something new worked and help others get to grips with it with confidence.

That instinct followed me through 15 years inside real organisations. My attention to detail, process mind and ease with technology took me from French call centre agent to managing 100+ agents across 14 languages at Concentrix, where I won the Future Investor Award for the EU in 2015. At ModSquad, I worked with major global brands across Tourism, Health, Gaming and Finance, developing their digital strategy and stack. At Oxfam Ireland, as Digital Manager, I helped the team organise and use their tools and expertise. Campaigns from that work won Best in Retail & Consumer Goods at the Digital Media Awards 2026 (PostBack, with An Post) and a Spider Award for Sustainability Impact 2026 (Second Hand September).

At every stage, the question was the same: how do you help people genuinely understand something complex? Not just learn the steps, but feel empowered to take it further, instead of ticking a box. I never hand people a list of instructions. We work through the change together, so everyone feels confident to apply it, and keep building on it as that confidence grows.

At Oxfam Ireland, that question met AI directly. I worked with the Director of Innovation to develop the organisation’s internal AI policy. I built a tailored internal AI solution to help staff review content against organisational values. And I set up a monthly all-staff AI conversation, a safe space where anyone could ask questions, share concerns, and learn together. Not a training session. A genuine conversation. The kind that actually changes how people think and work.

Long before AI became a mainstream conversation, I was speaking publicly about online safety, the ethics of AI integration, and what responsible adoption actually looks like for real people and real organisations. Not because it was a career move, but because I genuinely cared. And still do.

I care particularly about what AI is doing to human confidence, expertise, and independent thinking. About who gets left behind when AI literacy is not distributed fairly. About the worker who stops trusting their own judgment because a tool gives an answer faster. About the small business owner who loses their voice one AI-generated output at a time.

That is the approach I bring to AI. Start with how the work is done. Find where AI helps. Look at process and people together, hand in hand.

AI literacy is not a nice-to-have. It is the thing that determines whether AI makes your team more capable or quietly diminishes them.