The client’s business rates function faced rising risk as reconciliation accuracy fell from 90% to 35%. Rate demands and liability orders often required rework, creating exposure to missed deadlines, penalties, and dissatisfied clients. With 150,000 council documents each year, teams were stuck with outdated systems and low-value fixes instead of resolving exceptions, leaving liabilities poorly visible and the process unable to scale.
Unframe delivered an AI-driven automation platform that processed rate demands and liability orders end-to-end. High-confidence data was reconciled automatically, while exceptions were flagged for review. The business rates team gained real-time visibility into liabilities, billing cycles, and deadlines, and routine actions like generating challenge letters were automated. The result was fewer errors, faster turnaround, and a process built to scale.