Case Study: Middlesex Federal Savings Achieves Multi-Department AI Adoption with StackAI

Middlesex Federal Savings cuts multi-hour reviews to minutes with Stack.ai

Middlesex Federal Savings, a community bank with multiple fintech partnerships, was looking to reduce the time and effort spent on manual, document-heavy work across departments while maintaining strict standards for security, accuracy, and regulatory compliance. Tasks like SOC 2 reviews, policy lookups, and report assembly were slow and repetitive, so the bank turned to Stack.ai’s no-code enterprise AI platform to explore a safer, more efficient way to work.

Stack.ai helped Middlesex Federal Savings roll out AI agents across IT, accounting, loan operations, platform innovation, and information security, including a report automation workflow, an internal policy chatbot, and a SOC 2 report reviewer. The bank says jobs that once took hours now take just minutes, and the deployment also led to a governance framework, an AI policy, and broader adoption across the organization, with human validation remaining central to the process.

Middlesex Federal Savings