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ArcOne AI Scales Enterprise Banking Orchestration

Austin-based ArcOne AI has expanded its BankOS™ platform to bridge the gap between pilot-stage experiments and production-grade revenue intelligence. By deploying over 100 specialized AI agents across retail, capital markets, and global transaction banking, the system enables financial institutions to automate complex operations without replacing legacy infrastructure.

ArcOne AI Scales Enterprise Banking Orchestration

Most global banks struggle to move beyond narrow AI pilots because their data remains siloed across five to fifteen disparate core systems. ArcOne BankOS™ bypasses this structural hurdle by utilizing Ocular AI™, a foundational layer that connects over 60 enterprise banking cores. By auto-mapping 80% of data fields, the platform eliminates the need for multi-year data engineering overhauls, allowing institutions to reach production-ready status in four to six months.

Operationalizing Financial Intelligence

The platform functions through an integrated stack of three core fabrics: Data, Intelligence, and Agents. The intelligence fabric uses an orchestration engine called TERRA™ to manage a library of 100+ agents, while the agent fabric powers three primary applications: Enrich360™ for pricing, Experience360™ for customer engagement, and Exceptions360™ for process management. To navigate strict regulatory environments, the architecture adheres to ISO 42001 standards, providing audit-ready lineage that meets SOX, OCC, and SR 26-2 requirements. According to CEO Akshay Sabhikhi, the goal is to shift banking technology away from endless proof-of-concept cycles toward measurable, scalable revenue outcomes.

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