M&T Bank AI Adoption Tracker
Last updated: August 18, 2026
Overview
M&T Bank has established itself as a leading example of disciplined AI adoption in banking, with Chief Data Officer Andrew Foster describing the bank's 'safety first' approach that prioritizes customer trust[1]. The 165-year-old institution has deployed Microsoft Copilot to 16,000 of its 22,000 employees for tasks including email drafts, report generation, and call summarization[2]. Foster positions M&T's AI strategy as governance-first, emphasizing that 'well-governed data is AI-ready data' and implementing a federated data governance model that enables both consumer and commercial banking divisions to use consistent datasets[3]. The bank has moved beyond experimentation to practical deployment, with Foster noting that generative AI typically gets users '60% of the way' before human review completes the remaining work[2].
AI Maturity Index
Radar Comparison
Peer Comparison: M&T Bank vs financials
Based on 77 companies in sector
| Dimension | M&T Bank | Sector Avg | Diff |
|---|---|---|---|
| Adoption | 3.0 | 3.7 | -0.7 |
| Proficiency | 3.0 | 3.6 | -0.6 |
| Impact | 3.0 | 3.6 | -0.6 |
| Overall | 3.0 | 3.7 | -0.7 |
AI Hiring Signals
M&T Bank Job Postings Analysis
Tech vs Non-Tech AI Requirements
Top Departments by AI Mention Rate
Analysis
M&T Bank shows measured AI hiring emphasis at 5.8% overall, with relatively balanced expectations between tech (8.3%) and non-tech roles (5.1%). Notably, Legal leads departments in AI requirements at 15.4%, suggesting strong focus on AI governance and compliance.
View Sample Job Postings (8 sources)
Key Metrics
AI Initiatives
Amperity Customer Data Platform
August 2025
AI-powered customer data unification and personalization platform
Enables M&T to consolidate fragmented customer information, streamline data management, and deploy insights across channels for more personalized banking experiences and targeted service offerings.
Microsoft Copilot Enterprise Deployment
2025
Large-scale deployment of generative AI tools to 16,000 employees for productivity enhancement
Used for email drafts, report generation, call center conversation summaries, and SQL database queries. Saves approximately 6 minutes per call when used for call summarization.
nCino Continuous Credit Monitoring Solution
May 2024
AI-powered credit risk management and loan performance monitoring system
Powered by Rich Data Co's explainable AI platform, provides comprehensive insights into cash flow health, credit risk, and lending opportunities at customer and portfolio levels. Enables early warning detection and automated risk indicators.
Data Academy Training Program
2024
Enterprise-wide data literacy and AI skills development program
Trained over 1,000 employees on data utilization, data literacy, and analytic tool upskilling during 2024. Part of broader Community of Enablement Model with joint partnerships between business, technology, and data teams.
Z Digital Integration Hub (Z DIH)
2024
Real-time data integration platform for core banking systems
Partnership with IBM to modernize z/OS applications into event-driven architecture, enabling real-time account information access. Reduced development times by 40% and improved fraud risk mitigation.
Frequently Asked Questions
M&T takes a 'safety first' approach with strict data lineage tracking, federated data governance, and human oversight requirements. The bank uses tools from Solidatus and Monte Carlo to maintain data quality and implements a governance-first strategy where 'well-governed data is AI-ready data.'
16,000 of M&T's 22,000 employees use Microsoft Copilot for email drafts, report generation, call summaries, and database queries. Software developers also use GitLab for code generation assistance.
M&T uses nCino's Continuous Credit Monitoring Solution powered by Rich Data Co's explainable AI platform to assess credit risks, monitor loan performance, and detect early warning signs across customer and portfolio levels.
The bank operates a Data Academy that trained over 1,000 employees in 2024 on data utilization and AI skills. They also publish a weekly 'Letter from the CDO' reaching 1,500 subscribers to build AI culture across the organization.
M&T follows a model where generative AI typically handles 60% of tasks while humans review and complete the remaining 40%. The bank emphasizes that human decision-making and critical thinking remain central to AI adoption.
In Application
| Application | Vendor | Use Case |
|---|---|---|
| Microsoft Copilot | Microsoft | Employee productivity for email drafts, reports, call summaries, and SQL database queries |
| GitLab AI | GitLab | Code generation assistance for software developers |
| nCino Continuous Credit Monitoring | nCino/Rich Data Co | Credit risk assessment and loan performance monitoring with explainable AI |
| Enhanced Fraud Detection | M&T Internal | Real-time transaction monitoring and suspicious activity detection using data mining |
Sources
How Data And AI Are Driving Business Transformation At M&T Bank
How M&T Bank ensures data quality as it implements gen AI
M&T Bank Expands Use of nCino with Adoption of Continuous Credit Monitoring Solution
M&T Bank Selects Amperity to Accelerate Customer Data Strategy
What It Takes to Modernize a 165-Year-Old Bank for AI: Lessons from M&T Bank's CDO
Related Companies
About AI Tracker
AI Tracker is a research project by Larridin, the AI execution intelligence platform.
Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.
Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.