LedgerSight offers finance operations automation with explainable and controllable AI. It connects finance and operational data to identify exceptions, propose next actions, and maintain evidence for every decision. Designed for teams seeking enhanced automation without compromising financial control, LedgerSight focuses on core workflows such as bank reconciliation, AR reconciliation, AP exception handling, collections prioritization, cash allocation, financial close support, and forecast/exception analysis. The platform allows users to review AI recommendations, exception context, and supporting evidence before approving business actions, thereby reducing risks associated with late-surfacing reconciliation breaks, unapplied cash, and incorrect supplier payments. LedgerSight operates alongside existing finance and operational systems, ensuring that finance control is not turned into a black box. Its step-by-step process involves reading existing data, identifying exceptions, proposing actions, applying policy boundaries, human approval, and recording decisions in Evidence Fabric. LedgerSight is part of the CloudSeals product portfolio, which includes TrustOps for accountable AI discipline and Evidence Fabric for a shared evidence layer.

• Core Workflows: Bank reconciliation, AR reconciliation, AP exception handling, Collections prioritisation, Cash allocation, Financial close support, Forecast/exception analysis.
• Key Features: Connects finance and operational data, identifies exceptions, proposes next actions, maintains evidence, AI recommendations, human approval, works alongside existing systems.
• Risk Reduction: Minimizes late-surfacing reconciliation breaks, unapplied cash, short payments, and provides clear audit trails for decisions.
• Technology: Leverages AI and Evidence Fabric for accountable operations.
• Deployment: Generally available, works alongside existing finance and operational systems.