Financial institutions have long struggled to move AI beyond isolated pilots, despite global industry investments projected to triple from 2023 levels. The primary barrier remains structural: banks typically juggle five to fifteen core systems, each housing disparate data models. ArcOne BankOS™ addresses this by utilizing the Ocular AI™ foundation, which features 60-plus connectors that auto-map data fields without requiring a complete infrastructure overhaul.
The platform operates through three integrated fabrics: data, intelligence, and agents. The intelligence layer utilizes a proprietary orchestration engine, TERRA™, to manage a library of 100-plus agents, while the agent fabric powers three core products: Enrich360™ for pricing, Experience360™ for customer engagement, and Exceptions360™ for process management. By deploying these tools on existing systems, the company claims it can move clients from contract to production within four to six months.
Governance remains a central focus for the Austin firm, as the architecture is built to meet ISO 42001 standards and regulatory requirements such as SOX, OCC, and the SR 26-2 model risk management guidelines. CEO Akshay Sabhikhi emphasized that effective banking AI requires a fusion of vertical expertise and automated orchestration to move beyond the "liability" of unscalable proof-of-concepts. The platform is currently in production at various Fortune 500 institutions, powering use cases ranging from real-time dynamic pricing to automated quote-to-cash processes.
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