Arthur

Bank of America designed Erica as a platform that could leverage multiple models — from BERT and OpenNLP to the latest foundation models. Arthur was built the same way. As your team brings in new models across the Erica architecture, Arthur monitors, evaluates, and governs every one of them through a single platform.

Bank of America's firmwide AI strategy spans every business unit — from 21 million Erica users in consumer to agentic AI scaling across markets and wealth. Arthur is the operational layer that makes that real — one platform to see, evaluate, and govern every AI system running across the firm.

Bank of America's Q1 2026 earnings highlighted agentic AI "enabling autonomous data analysis and execution of back-office workflows." That scale demands a new kind of governance layer. Arthur discovers every agent, evaluates every output, and gives your risk and compliance teams the visibility agentic systems require.

Bank of America built Erica seven years before the rest of the industry caught up. As the "build once, reuse" strategy expands into agentic workflows across markets and wealth, Arthur is the observability and governance layer built to operate at that scale.

U.S. Bank's responsible use framework calls for better monitoring, better visibility, and predictive maintenance across AI systems. Arthur is the operational layer that delivers it — continuously evaluating every AI system in production, surfacing drift in real time, and giving second-line oversight what your framework requires.

The banks already running agentic AI in production are discovering they need to retrofit governance after the fact. U.S. Bank has the opportunity to do it the right way — with Arthur as the foundational observability and governance layer for every agent, before they scale, not after.