M&T Bank expands enterprise AI after years of technology overhaul
Not a pilot. M&T Bank deployed AI copilots to 15,000 employees across operations, customer service, and risk management.
Why it matters
A major regional bank's broad internal AI deployment signals enterprise adoption scaling beyond isolated use cases. Shows how traditional financial institutions are integrating AI into core workflows—from call analysis to code generation to risk flagging.
The key facts
7 to knowM&T Bank deployed AI copilots to 15,000+ employees
Use cases: call-centre analysis, report drafting, code generation, customer need identification, portfolio risk flagging
Applications span internal operations, customer service, software development, and risk management
Deployment follows years of technology overhaul
Use cases: call-center analytics, report drafting, code generation, customer identification, portfolio risk management
Multi-year technology overhaul preceded the AI expansion
Spans internal operations, customer service, software development, and risk management
Go to the source
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Publisher excerpt: M&T Bank has deployed AI copilots to more than 15,000 employees as the US regional bank applies AI to internal operations, customer service, software development, and risk management. The bank uses AI to analyse call-centre conversations, draft reports, generate code, identify customer needs, and…