During a recent panel discussion at Mortgage Business Expo in London, I was asked to share my thoughts on how AI is changing the mortgage market and what that really means for brokers, lenders and technology providers. Within that discussion, I also spoke about the AI journey we’re on at Iress and what we’re learning along the way.
Here are some of those thoughts, which are also captured in a video interview you can watch below. And while my comments focus on mortgages, these themes apply equally across all areas of sourcing and financial advice.
When I talk to brokers, the responses to AI are incredibly varied. Some worry it will disrupt their businesses, while others are genuinely intrigued and excited about its potential. Both reactions are completely understandable.
For me, there’s no doubt that AI, particularly at the pace it’s evolving, has the power to transform the mortgage market. The opportunity isn’t just about improving efficiency, but about enhancing the human experience for both the adviser and the client.
Technology should always serve people, not replace them. At Iress, we see it as our responsibility to help make that happen, and that starts with engaging openly with the people who use our tools every day, which we do through dedicated forums and daily interactions with clients. If we’re all part of shaping AI’s direction, it will reflect our shared values and goals.
At Iress, we see two powerful ways to integrate AI into our sourcing technology:
Firstly, AI presents a big shift for the software industry, bigger than the agile development movement. We’re entering a new frontier of software development. AI is not only helping developers build faster and better by working alongside them; it’s enabling the creation of applications that are more adaptive, intelligent, and interconnected in real-time. That’s incredibly exciting.
Developing safe, compliant and trustworthy AI for the mortgage industry will require collaboration between technology providers, lenders, distributors, and advisers.
Secondly, the AI opportunity for us lies in developing a specialist generative AI designed specifically for our industry. We know many of our clients are experimenting with AI tools like ChatGPT, Google Gemini, and Microsoft Copilot. There’s no denying these tools are impressive, especially when it comes to data analysis, but they’re generalists. As is to be expected, they can get things wrong, and they don’t (yet) have the nuanced understanding of financial products, regulation, and compliance that advisers need. These AI tools are also built on existing data and can contain inherent bias, which could result in poor and incorrect decision-making and recommendations.
Developing safe, compliant and trustworthy AI for the mortgage industry will require collaboration between technology providers, lenders, distributors, and advisers. But when we get it right, AI can truly become a co-pilot that enhances mortgage advice, not a substitute for it.
With opportunity comes responsibility, and AI is no exception, especially based on the issues around accuracy and bias.
At Iress, we’ve established an AI Council to guide our strategy and ensure strong governance around how we develop and use AI. Every solution we bring to market goes through rigorous testing, is built on trusted data, and is launched with an abundance of caution.
For example, we would never launch an AI tool that sources live data directly from the internet. Accuracy, trust, and data integrity are non-negotiable.
It’s been an exhilarating learning journey. Every week brings new AI capabilities, and we’re continually exploring how they can add value to the advice process.
We’ve learned that not all AI is the same - and understanding which type of AI to use for each task is key.
We’ve also learned that AI is only as good as the data and direction it’s given. Clear prompts, iteration, and human oversight are critical to avoid bias and misinformation.
Both.
With so many new tools emerging, it’s easy to get caught in the trap of chasing the next shiny thing.
AI can absolutely accelerate how mortgage brokers operate, but only if implemented thoughtfully. It requires investment in upskilling, not just for your tech teams but across the entire organisation. And with so many new tools emerging, it’s easy to get caught in the trap of chasing the next shiny thing.
My advice is to learn about and evolve with AI tools, but stay focused:
There is a risk in getting it wrong. Not thoroughly testing, investigating and proving AI before use is a risky strategy that could harm trust and reputation.
Likewise, there is a threat in avoiding AI, because the industry and the technology aren’t staying still. If you don't work out a way for it to benefit you, a competitor will.
Even AI agrees with me on this one. It shouldn’t take on low-volume, high-nuance tasks that require emotional intelligence, ethical judgment, or regulatory accountability.
AI should remain a co-pilot, not an autopilot, and currently is best deployed to handle the high-volume, low-nuance work extending to tasks like document processing and verification.
Naturally, conversations around AI bring back memories of the “robo-advice” debates from a few years ago. Back then, the industry grappled with whether technology could - or should - replace human advisers. And while there’s certainly a growing place for automated, digital advice in specific transactions and for certain client types, the reality is that both the technology and consumer appetite aren’t quite there yet.
At Iress, we see AI not as a replacement for advisers, but as an enabler.
Most people still prefer the reassurance of speaking with a human when making big life decisions, like buying a house. AI, for all its power, can’t yet replicate empathy or emotional intelligence - the ability to understand the motivations behind financial choices or the emotions that come with them.
That’s why, at Iress, we see AI not as a replacement for advisers, but as an enabler. We think of it as a co-pilot - augmenting the adviser’s expertise rather than supplanting it. The adviser remains firmly at the centre of the client relationship, with AI supporting them to deliver faster, more personalised, and more compliant outcomes.
Balancing automation with a personal touch is one of the most interesting challenges in AI right now. Ironically, keeping things human often takes more time - from training AI to reviewing its outputs to refining its tone of voice.
Transparency will also be important. Just as we disclose when a meeting is being recorded, I believe we should be open when AI tools are part of the advice process. It’s simply another way of building trust.
Over the next 12 to 24 months, I expect to see “touchless automation” become a reality for many non-complex mortgage applications.
Technologies like Intelligent Document Processing (IDP) and Open Banking will make it possible to process applications end-to-end with minimal human intervention - freeing advisers to focus on complex, value-added interactions.
And here’s where it gets even more exciting: as AI understands a client’s mortgage liability and verified income, it can also identify their protection gap in real time.
That means protection advice can be seamlessly integrated into the mortgage journey - helping advisers deliver more holistic, responsible outcomes for clients.
AI is here to stay, and it’s moving fast - not just in the mortgage world, but across all of financial services and the world at large. While we might not be able to fully comprehend the full impact AI will have in the long term, its near future success in our industry will depend on how responsibly and collaboratively we approach it.
For me, the focus isn’t on the fear of machines replacing humans. It’s about using technology to empower and serve people, to build trust, and to deliver better outcomes for every client.
Let's take this opportunity to help shape the future impact of AI on Mortgages and financial services together.