IVP Reconciliation Solution

Reconcile at Scale. Resolve with Precision.

How does the IVP Reconciliation Solution automate the reconciliation process?

The solution uses artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) to perform many reconciliations without the need for your team to click through each step in the process manually. Instead, the solution learns your firm’s rules and preferences and then gains the ability to complete reconciliations automatically or suggest the correct actions required to handle breaks and exceptions. AI reconciliation can be a significant source of time savings.

What types of reconciliations are supported for asset managers?

The IVP Reconciliation Solution supports virtually all reconciliation types, including bank, cash, position, NAV, P&L, balance sheet, account, Nostro, hedge fund, payment, month-end close, data, interstate, and N-way reconciliations. In each case, the solution brings the same degree of automated efficiency and accuracy to AI-powered reconciliation.

How does the IVP Reconciliation Solution handle exceptions or mismatches?

The AI reconciliation capabilities of the IVP Reconciliation Solution—specifically, the break resolution suggestion engine—help ops teams deal with exceptions, mismatches, and other breaks faster, with less manual effort.

Over time, the suggestion engine learns your actions, comments, naming conventions, and matching preferences. This allows it to solve complex matching scenarios and cluster related records and surface suggested links automatically. Eventually, it reduces the breaks to classify and makes it easier to resolve them efficiently.

Does the solution support reconciliation across multiple custodians, fund administrators, and brokers?

Yes. One of the biggest advantages of an automated solution is the ability to automate complex “any-to-any” reconciliations across internal books, custodians, counterparties, brokers, and fund administrators. The IVP Reconciliation Solution can process millions of records in minutes for intraday cycles, daily batch windows, and heavy month-end reconciliation workloads.

Is the reconciliation process real-time or batch-based?

Reconciliation has recently transformed from a batch process to a real-time requirement, driven by increases in the pace of trading, the complexity of instruments, and the expectations from portfolio teams.

What sets the IVP Reconciliation Solution apart is how it handles timing mismatches, live data changes, and book adjustments mid-cycle. It acts on Geneva breaks, delayed pricing, and OTE mismatches in real time. Flexible logic and event-based triggers allow it to adapt to new file formats and sources without constant reconfiguration to deliver faster resolution times, cleaner books, and fewer surprises before reporting deadlines hit.

How does GenAI extract data from unstructured agent notices?

The GenAI capabilities within the IVP Reconciliation Solution allow it to correctly identify the individual data points within an unstructured agent notice. Having identified the data, the solution can then extract it, validate it, and use it to structure agent notices. In other words, the solution uses GenAI to convert unstructured PDFs into standardized data as well as perform data quality checks to improve accuracy for agent notice processing.