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Mastercard AI Adoption Tracker

Last updated: August 18, 2026

4.4 Excellent

Overview

Mastercard has positioned itself as a leader in AI-powered payments innovation through its comprehensive approach to artificial intelligence deployment across fraud detection, agentic commerce, and customer experience enhancement[1][2]. The company has launched several groundbreaking AI initiatives, most notably Agent Pay in April 2025, which enables AI agents to conduct transactions on behalf of consumers while maintaining security and trust through tokenization and verification protocols[3]. Mastercard's AI strategy encompasses both defensive applications like fraud prevention—where the company has prevented over $50 billion in fraud losses through its AI-powered systems[4]—and offensive capabilities through personalization and intelligent commerce solutions[5]. With Greg Ulrich serving as Chief AI and Data Officer, Mastercard has established robust AI governance frameworks since 2019, emphasizing responsible AI development with privacy-by-design principles[6].

AI Maturity Index

4.4 /5 Leader

Evidence high

  • AI deployed across fraud detection, agentic commerce, personalization, and scam prevention [corporate]
  • Greg Ulrich appointed as Chief AI and Data Officer in Q2 2025 [news]
  • AI governance program established since 2019 with cross-functional teams [news]

Missing Evidence

  • Specific AI headcount or hiring metrics not publicly disclosed

Evidence high

  • Specialized workbenches for software engineering, data science, and sales roles [news]
  • Chief AI and Data Officer role created with enterprise-wide responsibilities [news]
  • Agentic AI capabilities with autonomous transaction processing and tokenization [corporate]

Missing Evidence

  • Limited public disclosure of internal AI training metrics

Evidence high

  • $50 billion fraud losses prevented over 3 years through AI systems [news]
  • 159 billion transactions secured annually through AI, serving 74 of top 100 US banks [corporate]
  • Up to 300% increase in fraud detection rates with Decision Intelligence Pro [news]
  • Q3 2025 value-added services revenue growth of 25% year-over-year driven by AI capabilities [sec]

Missing Evidence

  • All evidence present

Radar Comparison

Company Sector Avg

Peer Comparison: Mastercard vs financials

Based on 77 companies in sector

Dimension Mastercard Sector Avg Diff
Adoption 4.0 3.7 +0.3
Proficiency 4.0 3.6 +0.4
Impact 5.0 3.6 +1.4
Overall 4.4 3.7 +0.7

Key Metrics

$50 billion in fraud losses prevented over 3 years
Fraud Prevention
Source: https://www.pymnts.com/artificial-intelligence-2/2025/mastercard-shares-its-ai-playbook-for-business-payments/
159 billion transactions secured annually through AI
Transaction Processing
Source: https://www.mastercard.com/news/ap/en/perspectives/en/2025/from-fighting-fraud-to-fueling-personalization-ai-at-scale-is-redefining-how-commerce-works-online/
Up to 300% increase in fraud detection rates with Decision Intelligence Pro
Fraud Detection Improvement
Source: https://fortune.com/2024/03/06/mastercard-ai-detect-fraud
5
AI Initiatives
Source: Larridin Analysis

AI Initiatives

1

Agent Pay

April 2025

Active

Pioneering agentic payments technology that enables AI agents to transact on behalf of consumers

Features include Agentic Tokens, Agent Toolkit, Agent Sign-Up, Insight Tokens, and Agentic Consulting Services. Builds on proven tokenization capabilities and includes 'Know Your Agent' protocol for security

2

Shopping Muse

2025

Active

AI-powered retail search tool using natural language processing

Allows consumers to search retail inventories using phrases like 'beach formal' or 'dress shirts', delivering hyper-personalized results based on behavioral data

NLP
3

Decision Intelligence Pro

May 2024

Active

Generative AI-powered fraud detection tool

Scans one trillion data points in under 50 milliseconds to predict transaction legitimacy. Can increase fraud detection rates by 20% on average and up to 300% in some cases

4

Consumer Fraud Risk (CFR)

2024

Active

AI-powered solution to protect consumers from scam losses in real-time

Rapidly reviews multiple data points and delivers customer risk scores to both sending and receiving banks. Successfully deployed in UK market with 12% reduction in authorized push payment scams

5

Scam Protect

2024

Active

Suite of AI-powered solutions to identify and prevent scams

Combines identity, biometric, AI and open banking capabilities to protect consumers across spectrum of scams including card-based and account-to-account payments

Frequently Asked Questions

Agent Pay is Mastercard's agentic payments technology that enables AI agents to conduct transactions on behalf of consumers. It uses tokenization to protect card numbers, includes 'Know Your Agent' protocols for security, and requires user consent and verification before transactions.

Mastercard uses AI through tools like Decision Intelligence Pro, which scans one trillion data points in under 50 milliseconds to detect fraud. The company has prevented over $50 billion in fraud losses and serves 74 of the top 100 US banks with its AI-powered fraud detection systems.

Agentic commerce involves AI agents performing tasks like shopping and payments with minimal human supervision. Mastercard is investing because it represents the next frontier of commerce, allowing for more seamless, intelligent transactions while keeping financial institutions central to the payment process.

Mastercard has established AI governance frameworks since 2019, led by Chief AI and Data Officer Greg Ulrich. The company emphasizes privacy-by-design, ethical guardrails, and accountability structures with risk-based assessments and documentation for all AI systems.

Key partnerships include Microsoft for Azure OpenAI integration, Google for Universal Commerce Protocol, PayPal for agentic payment integration, and research collaboration with Mila Quebec AI Institute for responsible AI development.

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.

Update cadence: Every 2-3 weeks
Last updated: August 18, 2026