Intra-Suspense Account Reconciliation AI Assistant
U.S. Full-Service Wealth & Capital Markets FirmAn agentic AI system for post-trade breaks identification, settlements validation, and resolution, replacing manual, fragmented reconciliation across trading, clearing, and fail-report systems with an autonomous, audit-ready workflow.
Problem
Client operations team manually identifies and reconciles breaks in Intra-Suspense Accounts using fragmented reports from Trading System, Fail Report (backend-generated on the Ops Portal), and Clearing House system. This manual and error-prone process delays reconciliations and limits audit visibility. The firm needed an autonomous, intelligent system to monitor breaks continuously, recommend resolutions, and ensure compliance.
Approach
An Agentic AI Assistant automates break identification, validation, and resolution across Trading System, Clearing House system, and backend Fail Reports, replacing manual reconciliation with autonomous workflows. It uses agents to detect breaks, validate data, and recommend resolutions via Azure OpenAI reasoning, all presented through a single web interface. Initially built for end-of-day reconciliation, it is designed to scale to real-time, compliant, and explainable automation.
Agents We Created
Specialized AI agents engineered to automate and optimize business operations.
See It In Action
A look inside the reconciliation platform our AI agents power.
Tools Used
Cutting-edge technologies powering intelligent automation.
LangChain
LangGraph
Azure OpenAI
Power BI
Outcome Metrics
Measurable impact delivered through intelligent automation.
Faster break identification & resolution validation
Improvement in reconciliation accuracy
Reduction in manual effort via autonomous agent workflows
Auditability through AI-driven explainability
For real-time, self-learning reconciliation
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