Solutions/Performance Reconciliation
Performance reconciliation you can trust, with less manual work.
AI-powered performance reconciliation empowers teams to catch return discrepancies, investigate root causes, and validate results with greater accuracy, speed, and confidence.
The Challenges of Accurate Performance Reconciliation
Complex and cumbersome data mapping
Performance reconciliation requires sophisticated data pipelines that can handle complex matching logic.
Required data sits across fragmented systems
Data for performance reconciliation flows from many sources, often disconnected and requiring manual query for break resolution.
High and repetitive break volume
Teams spend hours investigating and resolving repetitive breaks across funds and accounts.
Increased complexity drives errors
Funds are investing in more complex assets making it more challenging to reconcile performance.
How OnCorps Supports Performance Reconciliation
01
Pre-built performance data schema
Pre-built data schema for performance reconciliation with pre-configured daily, month-to-date, and year-to-date checks enabling accelerated time-to-value.
02
Agents built for performance breaks
AI surfaces insights and recommendations on performance breaks, supporting your team for review and decision-making.
03
Dashboarding and Reporting
ReconAI agents detect performance breaks, reduce false positives, and deliver a root cause analysis with fully-logged reasoning.
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.
Let your team do their best work.