What is Lyrical for Financial Services?
Lyrical is ARC’s AI decision-intelligence solution for banks, credit unions and other financial institutions. It combines AI, machine learning, natural-language processing and enterprise analytics with strategic design to improve customer, fraud, lending, compliance and operating decisions, inside the bank’s existing risk-management discipline.
How is Lyrical different from buying an AI copilot or point solution?
Point solutions solve one team’s problem and often leave leaders without a shared view of data, risk ownership, customer impact or value. Lyrical starts from the bank’s priority decisions and builds a governed decisioning layer that connects relationship context, decision intelligence and coordinated action across the bank.
Does Lyrical make credit or fraud decisions automatically?
No. Lyrical’s initial use cases are assistive. It gathers context, summarizes evidence with source citations and suggests priorities, while a qualified person, such as an underwriter, investigator, banker or compliance owner, makes and owns every consequential decision.
How does Lyrical approach model risk management and AI governance?
We apply the bank’s existing controls and accountabilities, including use-case inventories, data controls, vendor due diligence, testing and validation, human review and ongoing monitoring, with targeted additions for AI-specific risks. Our practices are informed by the NIST AI RMF, the U.S. Treasury’s 2024 report on AI in financial services and OCC Bulletin 2026-13. Because that bulletin excludes generative and agentic AI, we help each bank confirm what applies to its charter and use cases with its own counsel.
Can Lyrical work with our core banking platform and existing vendors?
Yes. Lyrical is configured or developed inside the bank’s approved environment, supports private cloud, on-premises and hybrid deployment patterns, and is designed to work alongside existing vendors. The initial diagnostic maps data readiness, integration constraints and current vendors before anything is built.
Is Lyrical only for large banks?
No. Lyrical is built for community banks, regional banks and credit unions as well as larger institutions. Smaller institutions often benefit most from starting with one well-governed, assistive use case and a clear measure of success.
How do we know whether an AI pilot should scale?
Success measures are agreed before the pilot starts, for example investigator time per case, queue aging, false-positive rate, first-contact resolution or answer accuracy. The learn-and-scale phase evaluates quality, risk, adoption and economic value, so leaders get a clear scale decision and operating plan.
Where do we start?
With an executive working session that brings business, risk, technology and operations leaders together. You leave with a concise view of where Lyrical could help, what a safe pilot requires and whether there’s a shared basis for moving forward.
