Document Processing · IT Operations Automation · Risk Management
BNY wanted to scale AI adoption across the company without fragmented point solutions, while maintaining strong governance, risk management, compliance controls, and practical support for workflows such as payments, onboarding, reconciliations, contract review, and risk monitoring.
Reported impact
BNY reports faster enterprise AI adoption and a growing production estate: employees across the company are trained on Eliza, more AI solutions are in production, digital employees automate routine work, and AI supports faster processing, onboarding, risk detection and contract review.
BNY built Eliza as an internal enterprise AI platform instead of relying on disconnected point tools. Eliza gives employees secure access to chat, search, coding and agent capabilities, and exposes a menu of models and vendor tools so builders across engineering, operations, product management, client coverage and corporate functions can create role-specific AI solutions. The platform serves as the orchestration layer for prototyping, testing and deploying Eliza agents and digital employees with guardrails, telemetry and approval controls aligned to BNY's data, risk, legal and compliance standards. On top of that platform, BNY has put serving applications such as its Contract Review Assistant into production and applies AI in transaction and market monitoring, payment processing, client onboarding, reconciliations and lead identification. The source does not name a storage stack, but it makes clear that enterprise data, governance controls and supervisory oversight are embedded into day-to-day operation at scale.
Employees access Eliza as a unified AI entry point for secure chat, search, coding and agent workflows. Eliza presents a menu of models and vendor tools to builders, who prototype, test and deploy agents and digital employees under guardrails, telemetry and approvals. Those AI services are then applied inside payment, onboarding, reconciliation, risk monitoring and contract review workflows, with outputs returned to staff and client-facing operations.
"Ability to prototype, test, and deploy AI agents with guardrails, telemetry and approvals"
"As of the end of the third quarter, we have 75% more AI solutions in production compared to the prior quarter"
"BNY's AI-driven Contract Review Assistant benchmarks negotiated agreements against our corporate best practices and evolving regulatory requirements."
"Eliza adoption is up 175% this year, with 99% of employees fully trained and onboarded onto the platform - up from just over a third in January."
"Single enterprise AI platform with secure chat, search, coding and agents"
"We have built, onboarded and deployed over 100 digital employees with distinct personas, credentials and supervisors to automate routine tasks."
"We made a deliberate choice to build AI as a platform within our company - named 'Eliza'... that leverages best-in-class models and vendor tools from a variety of leading providers."
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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