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OakNorth

A reporting-period timeline of the company’s AI and machine-learning disclosures, grounded in official investor materials and exact source excerpts.

AI strategyData and platformsRisk and governance
Use-case evidence

AI use cases in official disclosures

Each row is a distinct, evidence-linked use case or initiative identified in official results and investor materials. Expand a row’s evidence to inspect the exact source wording.

3 verified use cases

Newest disclosure first

AI strategyExpanding

Integration of artificial intelligence and machine learning in commercial lending

OakNorth utilizes machine learning and artificial intelligence to transition commercial lending from backward-looking spreadsheets to a forward-looking, platform-based approach. This underwriting process supports loans ranging from £0.5 million to £25 million with faster approval times.

Earnings releaseoaknorth.co.uk official publications
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“Through leveraging credit intelligence, cloud computing, and machine learning, we are unlocking the growth potential of the Missing Middle with loans which typically range between £0.5 million to £25 million.”

Context: Redefining commercial banking, powered by technology

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Data and platformsExpanding

Granular sub-sector forecasting and large-scale data analytics

OakNorth leverages a commercial lending dataset of circa $365 billion, including $320 billion of Commercial and Industrial data. The system categorises the economy into 273 sub-sectors to apply specific sub-sector forecasts to individual borrowers.

Earnings releaseoaknorth.co.uk official publications
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“Our approach splits the economy into 273 sub-sectors with detailed sub-sector forecasts applied to each individual borrower.”

Context: Redefining commercial banking, powered by technology

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Risk and governanceContinuing

Machine learning drives credit risk management and stress testing

OakNorth utilizes its proprietary machine learning driven product, ON Credit Intelligence, to execute a forward-looking stress testing process and manage credit risk. This granular, data-led approach has contributed to maintaining low default rates since inception.

Earnings releaseoaknorth.co.uk official publications
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“our lending policies are based on two key premises - taking a highly idiosyncratic approach to lending, and a sophisticated forward looking stress testing process through our proprietary machine learning driven product- ON Credit Intelligence.”

Context: Annual Report 2022, Evidence 1

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Official document coverage3 checked
Earnings releaseNo explicit AI evidence

OakNorth: Download PDF

Primary source
Earnings release2 findings

OakNorth: Download PDF

Primary source
Earnings release1 finding

OakNorth: Download PDF

Primary source