{prefix}{val}{suffix} {tag} 60% Less Admin. Same 140 RMs. A leading North American regional bank. ~$25B in assets under management. 140 Commercial & Corporate Relationship Managers. Core: FIS Horizon on MuleSoft middleware. 60% reduction in RM administrative time. 18 hours per RM per month reclaimed for revenue-generating activities. $3.1M in annualized capacity value recovered. The Challenge 42% of Every RM's Day Was Not Relationship Management. The bank had invested heavily in Salesforce FSC and a skilled Commercial Banking team. But an internal time-motion study revealed a structural problem: their best RMs were functioning as data administrators. A $200K/year Senior RM was spending 90 minutes before every client meeting pulling data from 4 different systems into a Word document. Manually. Every week. "We weren't getting a return on our Salesforce investment because the platform had become a data entry system, not an intelligence system. We needed AI that could flip that equation." {row.task} {row.pct}% Implementation Journey 42 Days. End to End. {phase.challenge} {phase.action} {phase.output} Measured Outcomes Results at 6 Months. *Results based on an anonymized deployment. Individual results vary based on org configuration, RM count, and workflow complexity. "If you'd told me six months ago that we'd have 97% adoption on an AI tool — in a team of 140 senior commercial bankers — I wouldn't have believed it. The secret is it doesn't feel like AI. It feels like having a brilliant analyst on every deal." Your Pilot Starts in 14 Days. We replicate this engagement model for every bank. Discovery → Sandbox → Measurement. No risk, no long-term commitment. Case Study: How a $25B Regional Bank Reduced RM Admin Time by 60% — Root AI | Enterprise Banking & Agentic AI