RDC.AI Expands North American Presence as AI Adoption Surges in Commercial Banking

RDC.AI has reported 120% growth within its existing customer base over the last year as business and commercial banks shift from AI experimentation to large-scale deployment. For fintech professionals, this signal indicates that "agentic AI"—where autonomous agents assist in complex decision-making—is moving into production environments within highly regulated financial institutions.

What was announced

RDC.AI is scaling its predictive intelligence and automation platform across Australia, New Zealand, and North America. The company, which has been operating for a decade, specializes in portfolio intelligence that surfaces credit-risk signals up to six months earlier than conventional monitoring while reducing manual effort by 70%. Central to this expansion is a focus on the North American market, which contains over 4,500 regulated banking institutions. The firm is currently in final-stage discussions with several banks across the US and Canada and is investing in its US-based commercial team to support this growth.

A key development in the company's portfolio is the "collaborative agentic workspace," currently in product preview with two customers. This environment allows human bankers to work alongside governed AI agents to manage high-value decisions typical of business and commercial banking. The platform is built to integrate with existing data technology providers, including AWS, Snowflake, and Anthropic. RDC.AI’s current client roster includes Westpac and M&T Bank, a top-six US commercial bank, where the technology is used to embed intelligence directly into daily workflows. The deployment at M&T Bank serves as a primary case study for how banks can move beyond AI pilots to production-scale capabilities that deliver measurable outcomes while maintaining governance and regulatory confidence.

"Imagine this as the place where bank leaders and frontline teams can now ask questions and interrogate the portfolio in ways they have never been able to before, again underpinned by explainability. The banker makes the decision and sets the task, then the agents do the work safely and transparently on the bank's own curated data, policy and knowledge. It’s very exciting to see real value by placing agentic AI directly in the hands of bankers, at the governance level required by regulated banks."

Ada Guan, CEO and co-founder of RDC.AI.

The companies involved

RDC.AI is an Australian-founded fintech that has spent ten years developing AI specifically for the regulated banking sector. The company is backed by major institutional investors, including the Australian banking giant Westpac and Acorn Capital. Westpac, one of Australia's "Big Four" banks, maintains a significant presence in the Asia-Pacific region and has a long history of investing in fintech innovation to modernize its commercial operations. M&T Bank, another key partner, is a major US-based financial holding company headquartered in Buffalo, New York. As a top-six US commercial bank, M&T provides a critical bridge for RDC.AI’s expansion into the North American market, which remains the world’s largest arena for business and commercial banking. RDC.AI positions itself as a provider of "explainable" AI, a crucial distinction in a market where regulatory confidence is paramount and "black box" algorithms are often rejected by compliance departments and risk officers.

What FF News has reported before

FF News has closely followed the intersection of AI and regulated banking, recently highlighting RDC.AI Expands North American Footprint with Agentic AI for Commercial Banking. This previous coverage detailed the company's initial moves to bring agentic capabilities to US lenders. We have also reported on the broader digital transformation efforts of RDC.AI’s investors and partners, such as when Westpac NZ Debuts First Bank-Issued Digital Credentials in Govt.nz Wallet. Additionally, our coverage of the infrastructure supporting these new technologies includes reports on Baselayer Secures $35M Series A to Launch Industry-First Identity Layer for AI Agents, reflecting the growing ecosystem around autonomous financial agents.

What this means

The shift from AI "pilots" to "production-scale" intelligence marks a turning point for commercial banking. For years, the sector has struggled with manual portfolio monitoring that is reactive rather than proactive. RDC.AI’s ability to surface risk six months early suggests that traditional credit risk models are under significant pressure to evolve or face obsolescence. The introduction of "agentic" workspaces also raises a critical question for the industry: how will the role of the commercial banker change as they move from data gatherers to supervisors of autonomous agents? Success in this space will likely depend on whether these tools can maintain the "explainability" that regulators demand while delivering the efficiency gains promised by automation.