People skills stay at core as credit unions embrace AI and new tech
Colin Mitchell, CEO of Wellington IT, provider of software and managed IT services to credit unions across Ireland and the UK.
Skilled, experienced staff will remain core to the success of Irish credit unions, a banking sector which is already using AI to automate routine functions.
Colin Mitchell, CEO of Wellington IT, welcomes the way that the credit union sector continues to embrace new technology, notably viewing AI as part of its commitment to skills development and one element of its talent retention strategy.
Wellington IT provides software and managed IT services to credit unions across Ireland and the UK and it is part of the Vencora group. Wellington IT currently employs more than 60 people across the North and South of Ireland. It supports 50 of the largest credit unions, including 43 in Ireland and seven in the UK, and holds a 51% share of the Irish market.
Mr Mitchell recently attended cuEngage Live 2026 at Croke Park, an event which brought together credit union leaders, technology experts, regulators and financial services specialists from across Ireland and the UK.
In this Q&A interview, Mr Mitchell discusses AI and the future of credit unions, likely mergers and consolidation and related topics of importance to the sector.
Credit unions are moving with AI, and the pace is picking up. Many have gone past curiosity to practical use, automating routine back-office tasks, speeding up loan decisions, improving fraud detection and freeing staff from repetitive data entry.
This definitely matters, as the people we want to attract into the movement expect to work with modern tools, particularly graduates and career changers from banking and technology. They want to spend their time on meaningful work, like helping a member through a difficult financial decision, not re-keying information between systems.
There is a gap, though. Larger credit unions with dedicated technology teams are moving faster than smaller ones, and that risks creating a two-speed sector. The answer is collaboration. Credit unions have always been strongest when they work together. Shared platforms, shared training and shared governance frameworks let even the smallest credit union adopt new technology safely and affordably.
Keeping people matters as much as attracting them. Staff who are trained in new tools, and trusted to shape how those tools are used, tend to stay. Credit unions that treat AI as something done to their people, rather than with them, will struggle. Those that invest in upskilling have a compelling story to tell, with purpose-driven work, rooted in community, supported by modern technology. Few employers can offer all three.
Read More
Credit unions have earned it, over decades, in towns and parishes across the country. A credit union is owned by its members and run for its members. In many cases it is governed by volunteers who live alongside them. There are no external shareholders to satisfy. That structure shapes behaviour, and the public can see the difference.
People remember who stood by them. For generations, credit unions have lent to people others would not, helped families through hard times, and stayed on main streets when others left. When trust in financial institutions was badly damaged after the financial crisis, credit unions came through with their reputation intact.
That esteem is a privilege, and it carries a responsibility. Every decision a credit union makes about technology, including AI, should be tested against one question: does this strengthen our relationship with members, or weaken it? Technology should make credit unions more accessible and more personal, not less.
AI won’t drive consolidation. Economics, regulation and members’ needs will do that. But AI will make change easier to manage and less disruptive for members and staff.
Mergers are complex. Two credit unions coming together must align data, systems, policies and, above all, people.
AI can help at almost every stage:
- cleansing member data before migration;
- spotting inconsistencies between loan books;
- reviewing large volumes of policy documents;
- modelling the combined organisation’s risk profile.
Work that once took months can be done faster and more accurately.
After a merger, AI can help a larger credit union keep the personal touch members value. It can help staff understand a member’s history quickly and handle routine queries so people can focus on the conversations that need a human.
There must be guardrails. Credit unions operate in a regulated environment. The Central Bank’s expectations, together with the EU’s Digital Operational Resilience Act (DORA) and the AI Act, rightly demand strong governance over how technology is used and who is accountable for it. AI should support decisions, not make them. Boards and managers must stay firmly in charge, and members must always be able to speak to a person.
cuEngage Live 2026 brought together around 120 people from across the credit union movement at Croke Park. Three messages stood out for me.
First, operational resilience is everyone’s business. Resilience is now a board-level responsibility, not just an IT one.
Second, the future is collaborative. This was our key theme of the day, e.g. credit unions and technology partners all working together to give every credit union access to capabilities it couldn’t build alone.
Third, people remain at the heart of the movement. I am in creditably proud to work in this sector helping to shape the strategy going forward and to deliver on the needs of our credit union customers in a digitised and efficient way.
For members, the message is reassuring. Their credit union is investing in the technology it needs to serve them well, while holding on to the values that made them join in the first place. For employees, it’s an exciting time to be in the sector. The skills they build now will shape how credit unions serve their communities for the next generation.
CONNECT WITH US TODAY
Be the first to know the latest news and updates
