M&T Bank has expanded its use of artificial intelligence across the company, deploying AI copilots to more than 15,000 employees. The US regional bank is now applying the technology to internal operations, customer service, software development, and risk management — a move that follows years of internal technology overhaul.
How M&T Bank Uses AI Across Daily Operations
The bank has integrated AI into several core functions. According to Fast Company, M&T uses AI to analyse call-centre conversations, draft reports, generate code, identify customer needs, and flag portfolio risks. These applications touch both back-office work and direct customer interactions.
The rollout builds on earlier adoption of Microsoft's AI tools. American Banker reported in September 2025 that 16,000 of M&T's roughly 22,000 employees were already using Microsoft Copilot for tasks such as drafting emails and reports and summarising call-centre conversations.
From Restricted Access to Enterprise-Wide Rollout
The expansion did not happen overnight. Before the wider rollout, M&T initially restricted employee access to public large language models. The bank's cautious approach suggests a deliberate strategy — testing the technology internally before scaling it across the workforce.
M&T is also looking ahead to more advanced applications. The bank is examining agentic AI — systems that can take actions autonomously — in cybersecurity and fraud detection. This represents the next phase of its AI journey, moving beyond simple assistance to more proactive security measures.
What This Means for Regional Banking Technology
M&T's rollout is significant because it shows a regional bank — not just a tech giant or national institution — committing fully to enterprise AI. With more than 15,000 employees now using copilots, the bank is betting that AI will improve efficiency across its operations.
The focus on risk management and fraud detection is particularly notable. Banks handle sensitive data and face strict regulations, so applying AI to flag portfolio risks and strengthen cybersecurity shows where the technology can add the most value in financial services.
Our Take: A Measured Approach Worth Watching
To put it plainly, M&T Bank's AI expansion is a case study in how traditional financial institutions can adopt new technology responsibly. The bank did not rush to give every employee access to public AI models. Instead, it restricted access first, tested the tools, and then scaled up gradually.
That measured approach matters. Banking is a trust-based industry, and errors in AI-generated reports or code could have serious consequences. By starting with internal tasks like drafting emails and summarising calls, M&T gave employees time to learn the tools before applying AI to higher-stakes areas like risk and fraud detection.
The move to explore agentic AI in cybersecurity is the logical next step, but it also carries new risks. Autonomous systems that act on their own require strong oversight. For now, M&T appears to be moving carefully — and that is exactly the right approach for an industry where caution is a feature, not a bug.
Other regional banks will likely watch M&T's progress closely. If this rollout improves efficiency without compromising security, it could set a template for the rest of the sector.
