M&T Bank expands enterprise AI after years of technology overhaul

M&T Bank has deployed AI copilots to greater than 15,000 workers because the US regional financial institution applies AI to inner operations, customer support, software program improvement, and danger administration.

The financial institution makes use of AI to analyse call-centre conversations, draft experiences, generate code, determine buyer wants, and flag portfolio dangers, in accordance with Fast Company. M&T can be inspecting agentic AI functions in cybersecurity and fraud detection.

American Banker reported in September 2025 that 16,000 of M&T’s roughly 22,000 workers have been already utilizing Microsoft Copilot for duties together with drafting emails and experiences and summarising call-centre conversations.

Before the broader rollout, M&T initially restricted worker entry to public massive language fashions. Chief knowledge officer Andrew Foster informed American Banker that the financial institution blocked the instruments as a result of workers might probably enter delicate firm info into public-facing companies.

M&T later evaluated enterprise suppliers and chosen Microsoft Copilot, beginning with a pilot involving about 800 workers earlier than increasing entry throughout the organisation.

Foster stated utilizing generative AI to summarise call-centre conversations saves about six minutes per name. Software builders on the financial institution additionally use GitLab instruments to generate code, whereas workers stay chargeable for reviewing AI-generated work.

M&T’s human-review requirement can be mirrored in its 2026 Code of Business Conduct and Ethics. The coverage requires workers to make use of authorized AI instruments and prohibits confidential, proprietary, buyer, worker, or regulated info from being entered into unapproved techniques. Employees stay chargeable for the accuracy and appropriateness of AI-assisted work.

Building the technology and knowledge basis

M&T’s AI deployment follows a technology overhaul that started in 2018. The financial institution stated greater than half of its technology specialists have been exterior staff on the time, in contrast with an 80% in-house technology workforce immediately.

M&T now has about 2,000 technologists working throughout greater than 300 agile groups and has employed greater than 1,000 technology specialists throughout the programme.

The financial institution has additionally changed dozens of older platforms. M&T stated technology outages have fallen by greater than 80% since 2018, whereas the quantity of system upgrades accomplished yearly has elevated by 300%.

Technology spending exceeded $1.2 billion in 2025, practically thrice its 2017 degree. Wisler informed Forbes in August 2026 that annual technology releases elevated from about 15,000 in 2018 to 65,000 in 2025.

Wisler joined M&T as chief info officer in 2018 earlier than turning into senior govt vice-president for technology and operations in 2025. His present remit covers each technology and operational capabilities throughout the financial institution.

M&T’s knowledge programme developed alongside the broader technology overhaul. Foster, who joined the financial institution in 2023, started constructing a data-lineage programme to trace the place info originates, how it’s used, and the way it strikes between techniques.

Foster informed American Banker that the data-lineage work was not created in response to generative AI. He described it as a core functionality for understanding M&T’s knowledge property.

The financial institution additionally established a Data Academy centered on knowledge governance and knowledge expertise, with round 2,000 workers collaborating within the programme.

M&T has created an inner repository referred to as Edison containing authoritative paperwork and data on financial institution insurance policies. The financial institution additionally makes use of data-lineage software program from Solidatus and Monte Carlo to hint info because it passes via databases, functions, and business-intelligence techniques.

The lineage work provides M&T visibility into the supply, which means, high quality, and governance of particular person knowledge parts, in accordance with Foster. He stated one software for that ruled knowledge is the financial institution’s use of Copilot.

M&T additionally makes use of retrieval-augmented technology with inner, ruled knowledge, in accordance with American Banker.

Scaling AI into day by day banking operations

Wisler informed Forbes that M&T is pursuing generative AI via three routes: basic worker use, AI capabilities embedded in current functions, and proprietary techniques constructed across the financial institution’s personal knowledge and processes.

M&T operates greater than 1,800 functions, many equipped by third-party distributors. Wisler stated one of the financial institution’s AI pathways is figuring out helpful AI capabilities already embedded inside these functions.

M&T’s third pathway includes proprietary AI improvement across the financial institution’s personal knowledge and processes. Forbes reported that early functions embrace repetitive operational work, software program improvement, fraud prevention, and cyber defence.

Fast Company’s September report additionally stated M&T continues to evaluate each internally developed AI techniques and exterior instruments, together with basic enterprise software program and technology designed particularly for banks.

Earlier workforce use circumstances centred on drafting, summarisation, call-centre work, and software program improvement. Fast Company reported that newer functions embrace figuring out buyer wants and flagging portfolio dangers.

Other massive US banks have additionally expanded generative AI throughout worker workflows.

JPMorganChase launched its inner LLM Suite platform to greater than 200,000 workers in 2024. By 2025, greater than 65,000 workers in its Corporate and Investment Bank have been actively utilizing the platform, whereas greater than 90% of its engineers have been utilizing AI coding assistants.

The financial institution additionally stated AI-based transaction screening allowed it to assessment greater than twice the earlier transaction quantity whereas lowering guide operator checks by half.

Bank of America is utilizing a generative AI-enabled system referred to as EricaAssist with greater than 18,000 customer support workers. The device summarises why a buyer is asking, retrieves related info, and recommends potential subsequent steps whereas maintaining the worker chargeable for the interplay.

Bank of America stated in July 2026 that EricaAssist can ship contextual steering in underneath three seconds and has decreased common name instances by practically one minute. The financial institution plans to increase the system to extra servicing eventualities and enterprise strains later in 2026.

(Photo by Alain Pierre-Lys)

See additionally: Bank of England reviews AI rules for agentic AI in finance

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