AI Moves From Experiment to Everyday Finance Across Yorkshire

Artificial intelligence is beginning to move beyond trials and demonstrations within Yorkshire’s financial services sector, as regional firms introduce the technology into mortgage underwriting, customer support, risk management and financial advice.

Recent developments involving Yorkshire Building Society and Huddersfield-based Fintel suggest that AI is entering a more practical phase across the region.

Rather than attempting to replace professional judgement, much of the current activity is focused on reducing administration, bringing together complex information and giving employees more time to support customers.

However, as adoption accelerates, firms will also face growing questions around accountability, transparency, data quality and consumer trust.

AI enters mortgage underwriting

In June, Yorkshire Building Society announced a partnership with financial services AI specialist Covecta to introduce artificial intelligence into its mortgage underwriting process.

The technology will support the review of documents and other administrative work involved in assessing mortgage applications.

Crucially, the Society has said its underwriters will continue to make the ultimate lending decisions, with AI being used to support rather than replace human expertise.

The development could help reduce the time spent reviewing information while allowing underwriters to focus more closely on individual circumstances and complex applications.

It will support customers applying directly to Yorkshire Building Society as well as brokers submitting business through Accord Mortgages.

This approach reflects a broader challenge facing the financial sector: how can firms benefit from automation without losing the human judgement that is particularly important when decisions affect someone’s ability to buy a home?

Measurable savings in customer support

Yorkshire Building Society has also introduced AI agents to assist its customer relations teams.

The tools help employees summarise lengthy complaints, search relevant policies and previous cases, and prepare customer communications. All outputs remain subject to human oversight.

According to figures reported by the Society, one of the tools is saving employees approximately seven minutes each time it is used, while another can save up to 26 minutes when supporting more complicated complaint responses.

Early trials involving AI in internal risk and control testing have also reportedly produced efficiency savings of around 40%.

These applications demonstrate where AI may initially deliver the clearest value for established financial institutions.

Complaints handling and risk testing require employees to work through significant volumes of documentation while complying with detailed regulatory requirements. Using technology to organise and summarise that information could give experienced employees more time to investigate cases and communicate with customers.

The test will be whether the technology improves the quality of outcomes rather than simply reducing the amount of time taken to complete a task.

Financial advice could be next

AI adoption is not limited to banking and mortgage lending.

In March, Huddersfield-based financial technology and support services group Fintel announced plans to establish a joint venture with Intellect Design Arena.

The companies intend to develop an AI-led platform specifically for the UK financial advice market, combining Fintel’s financial services data, distribution network and adviser relationships with Intellect’s technology.

The proposed platform is expected to support financial advisers through agentic AI, which can complete a series of connected tasks rather than only responding to individual questions.

This could eventually help advice firms manage research, compliance, client records and administrative workflows more efficiently.

For smaller financial advice businesses, the potential productivity benefits may be significant. Many firms continue to face pressure from rising employment costs, regulatory administration and a shortage of experienced advisers and paraplanners.

However, introducing AI into regulated advice also creates greater risks than using it for basic internal administration.

Financial recommendations must reflect a client’s circumstances, objectives and capacity for loss. Firms will therefore need to establish clearly where automated support ends and professional responsibility begins.

Regulation turns towards agentic finance

The Financial Conduct Authority’s Mills Review, published in July, concluded that artificial intelligence is likely to become a defining force within retail financial services by 2030.

The review identified major potential changes to firm operations, customer journeys, competition and financial crime.

Research commissioned for the review found that one in five consumers would be likely to use AI capable of acting autonomously within agreed limits. This is equivalent to around 11 million UK adults.

However, the same research identified concerns about trust and retaining control over financial decisions.

The FCA has said that existing requirements, including the Consumer Duty and Senior Managers Regime, remain central to the regulation of AI.

This means financial firms cannot delegate accountability to a technology provider or an algorithm. Senior leaders will still be responsible for the systems their businesses use and the outcomes delivered to customers.

Earlier research from the FCA and Bank of England found that 75% of surveyed financial services firms were already using some form of AI, with a further 10% planning to adopt it within three years.

Although more than half of reported AI use cases involved some automated decision-making, only 2% were described as fully autonomous.

This suggests that, despite the attention surrounding agentic AI, most firms remain cautious about allowing technology to make significant decisions without human involvement.

A regional opportunity

Yorkshire is well placed to participate in the next stage of financial technology development.

Research highlighted by FinTech North estimates that West Yorkshire is home to 94 fintech businesses, while Yorkshire and the Humber supports 119 fintech firms employing approximately 4,000 people directly.

The wider fintech-related workforce is estimated at close to 20,000, with firms across the region working in lending, payments, financial advice, regulatory technology and data.

This combination of established financial institutions, growing technology businesses and experienced professional services firms gives Yorkshire a strong foundation for responsible AI development.

The opportunity is not simply to introduce more technology. It is to demonstrate how AI can improve financial services while preserving human accountability and customer confidence.

Recent activity suggests the region’s financial sector is beginning to move in that direction.

The next question is whether smaller firms will be able to follow the lead of larger organisations with the investment, data and governance resources required to introduce AI safely.

For Yorkshire’s financial businesses, 2026 may be remembered as the year artificial intelligence began moving out of the innovation department and into everyday operations.

 

Research supporting this article includes:

• Yorkshire Building Society partners with Covecta to support mortgage underwriting — Covecta

• Yorkshire Building Society reports customer-service gains from AI agents — ITPro

• Fintel partners with Intellect Design Arena to develop an AI-led financial advice platform — London Stock Exchange

• FCA publishes review into the impact of AI on retail financial services — Financial Conduct Authority

• FinTech North Leeds 2026 and regional fintech market data — FinTech North

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