AI is getting smarter. But is it also getting safer?
That question is becoming harder to ignore, especially in financial services, where speed alone is never enough. Accuracy, accountability and trust matter just as much.
A recent Dublin event hosted by 100 Women in Finance, with participation from Fenergo leaders Sharon Bodkin and Jimmy Collins, pointed to a conversation that is becoming increasingly relevant across the industry: how AI is being applied in financial services, where it creates value, and what responsible adoption actually requires.
The bigger shift behind AI in finance
What is becoming clear is that AI in finance is no longer only about productivity.
It is increasingly about control, oversight and risk intelligence.
That shift can be seen in a broader move:
- from reactive compliance to more proactive risk management
- from fragmented processes to connected data and monitoring
- from faster systems to more trustworthy systems
In other words, the conversation is no longer just about what AI can automate. It is also about how AI should be governed.
Why governance matters
In regulated industries, AI cannot be treated as a simple add-on.
The real value depends on whether systems are built with the right safeguards in place. That includes areas such as:
- explainability
- auditability
- human oversight
- data privacy
These are not side considerations. They are increasingly central to how financial institutions evaluate AI in practice.
Where Fenergo fits into this picture
Headquartered in Dublin, Fenergo focuses on helping financial institutions manage key compliance and client lifecycle processes, including:
- client onboarding
- know your customer (KYC)
- anti-money laundering (AML)
- transaction monitoring
- broader risk and compliance workflows
Across its public positioning, the company places strong emphasis not only on automation, but also on governance, visibility and control. That makes Fenergo an interesting example of how AI in finance is evolving from a pure efficiency story into a trust and infrastructure story.
A wider signal in Ireland’s AI ecosystem
At AI Dubliners, we watch these signals closely because they show where the market is heading.
What stands out here is not just that AI is being used in finance. It is that trust is becoming part of the product itself. As AI systems scale across regulated environments, governance may become just as important as intelligence.
That is why companies like Fenergo matter in the Irish AI ecosystem. They help illustrate a broader shift in which the future of AI in finance will likely be shaped not only by what systems can do, but by how reliably and transparently they do it.
At AI Dubliners, we observe, document and share Ireland’s AI ecosystem, from startups to strategy.
As AI scales in financial services, what do you think will matter more: intelligence, or trust?
