U.S. financial firms adopt agentic AI to cut costs, boost compliance
NEW JERSEY, UNITED STATES — More financial institutions in the United States are reportedly exploring artificial intelligence (AI) to improve operational efficiency and strengthen compliance, reflecting a growing interest in tools that complement traditional processes.
According to a thought-leadership article published in Forbes by Gregg Mojica, Co-Founder and CEO of Alloy Automation, while business process outsourcing (BPO) has long helped firms manage scale and costs, AI offers new ways to enhance oversight and responsiveness without fundamentally disrupting existing operations.
He says agentic AI orchestrates people, tools, and workflows to reduce costs and risks.
AI agents enhancing financial operations
These AI agents can reason across incomplete information, adapt when workflows break, and escalate issues to human reviewers when necessary.
Mojica emphasizes that rather than making people expendable, agents highlight the essential role of human judgment, positioning it as the cornerstone of compliance and trust.
In practical terms, agentic AI supports tasks such as identity verification, transaction record retrieval, policy checks, and exception handling. Each step is auditable, helping firms maintain compliance while improving speed and consistency.
Governance, skills, and workforce readiness
Mojica emphasizes that achieving success with AI demands careful planning and robust governance. A recent EY survey indicates that while roughly 84% of employees are eager to adopt agentic AI, many feel overwhelmed by rapid changes, concerned about skill gaps, and limited by unclear guidance.
Financial institutions are taking actions such as upskilling their staff, identifying hybrid human-agent roles, and creating frameworks to guarantee auditable, reversible decision-making processes.
Pilot programs are focusing on high-volume, low-risk processes, such as loan intake or invoice validation, where AI can support existing teams. The use of modular system architectures, open APIs, and standardized integration allows operations to continue while gradually adding AI capabilities.
The move toward agentic AI does not eliminate the need for BPO but adds a layer of flexibility and resilience.
As financial institutions experiment with AI alongside established outsourcing practices, the sector is finding ways to improve efficiency, reduce errors, and maintain customer trust, pointing to a future where technology and human oversight work in tandem rather than in competition.
