Solutions/Position Reconciliation
Position reconciliation built to reduce manual work.
ReconAI ingests and normalizes position data, runs predefined checks to surface breaks, and deploys agents to investigate every exception and provide a root cause analysis – freeing up your team to focus on more complex work.
The Challenges of Effective Position Reconciliation
Fragmented data across disconnected systems
Teams pull position records from multiple systems, run macros, and compare data manually — a slow, error-prone process without a centralized view of break origins.
The same false positives, flagged every day
Teams revisit the same recurring breaks day after day, with false positives pulling attention from issues that actually matter.
Root cause analysis takes too long
Tracing position breaks means manual research across systems, emails, and stakeholders that eats into time teams need to resolve true exceptions.
Limited connectivity in breaks identified across reconciliations
Disconnected teams performing different reconciliations often spend hours chasing down the same root cause driving their respective breaks.
How OnCorps Supports Position Reconciliation
01
Data ingestion and normalization
ReconAI ingests position data from custodians, internal books, and connected systems, normalizes it into a consistent format, then prepares it to run through checks — giving teams a clean, reliable foundation for reconciliation.
02
Checks and exception identification
ReconAI runs a library of predefined checks against normalized position data, flags breaks that fall outside expected thresholds, and surfaces them as exceptions in a structured workflow for team review.
03
Agent-driven investigation and root cause
ReconAI's agents investigate each flagged exception, analyze the underlying data across holdings, trades, and settlements, then surface a suggested root cause — so teams spend less time asking why, and more time taking action.
Delivering Results for Industry Leaders
120+
Agents in Daily Production
1,000+
Exceptions Triaged by Agents Daily
1M+
Unique Securities Identifiers Processed
70%+
Reduction in time spent on reconciliations
Case Study
AI Agents Streamline PIMCO Middle-Office Reconciliations
PIMCO partnered with OnCorps to deploy deep research agents for middle-office reconciliations, dramatically reducing false positives, achieving a 95% “worth seeing” rate, and 73% root cause accuracy.
Related Products & Platform Capabilities
ReconAI
The agentic AI solution for investment operations. ReconAI identifies, investigates, and resolves breaks, on its own – so your team can focus on more complex work.
Performance Reconciliation
AI-powered performance reconciliation empowers teams to catch return discrepancies, investigate root causes, and validate results with greater accuracy, speed, and confidence.
Cash Reconciliation
AI-powered cash reconciliation auto-matches up to 95% of daily transactions and investigates every remaining break overnight — so your team starts the day reviewing resolutions, not chasing them.
Trade Confirm Reconciliation
Our application ingests broker PDFs and internal trade data, automatically matches trades, reviews economic and legal terms, and routes disputes across brokers, legal, and portfolio managers — all in one workflow.
Let your team do their best work.
