Private credit managers reconcile loan data by comparing their own record of every position, cash movement, and accrual against the records held by the parties who verify them independently: the fund administrator, the agent bank on each facility, and, for structured vehicles, the trustee. The comparison runs at the position level, the cash level, and the calculation level, and any difference is a break that has to be resolved before it reaches the reporting layer.
The standard the process is held to is exact agreement. Trustees, auditors, and limited partners do not accept approximate positions, and when the manager's number differs from theirs, the manager carries the burden of explaining why. Broadridge has run this process for private debt and collateralized loan obligation managers for more than 20 years, with more than 200 unique data feeds connecting the platform to administrators, agent banks, trustees, and market data providers, and the process described below reflects how it works at that scale.
Reconciliation is also the function that degrades first as a firm grows. It is the one operational process where an unresolved error compounds rather than staying contained, because a discrepancy at the position level propagates into cash forecasting, investor reporting, and compliance calculations downstream.
What gets reconciled, and against whom
Four categories of loan data are reconciled, each against a different counterparty.
Positions. The manager's record of each facility, including commitment, funded amount, unfunded amount, participant allocations, and rate period, is compared against the administrator's book and against the agent bank's record of the same facility.
Cash. Every interest payment, principal repayment, fee, and draw is compared against the administrator's cash ledger and against the agent bank notice that triggered it.
Calculations. Accrued interest, paid-in-kind accruals, effective yield amortization, and internal rate of return are recalculated independently and compared against the administrator's figures. A difference here usually points to a difference in how each party interpreted the credit agreement, not to a data entry error.
Reference data. Security master fields, pricing, ratings, and foreign exchange rates are compared against the provider feeds so that every downstream calculation runs on the same inputs.
For collateralized loan obligation managers, the trustee is the primary counterparty. The trustee's records govern the payment date, so the manager's book has to agree with the trustee's before that date, on the trustee's timetable.
Why do reconciliation breaks multiply as a firm grows?
Reconciliation breaks multiply because the number of records that have to agree grows faster than the number of loans.
As an illustration, a firm with 30 facilities and one administrator maintains one comparison per facility per data category. A firm with 150 facilities across four funds, two administrators, and a dozen agent banks maintains hundreds, and each agent bank sends its notices in its own format. When those notices are keyed into a spreadsheet or a loan servicing system by hand, the error rate stops being a function of care and becomes a function of volume.
The second driver of reconciliation breaks is fragmentation. Most private credit managers running S&P Global's Wall Street Office alongside Advent Geneva and Excel hold three versions of every position, and the reconciliation process between those three systems is itself a source of breaks. The firm ends up reconciling internally before it can reconcile externally.
The third reason reconciliation breaks multiply is complexity of structure. Facilities with multiple rate periods, delayed-draw tranches, paid-in-kind toggles, and unscheduled repayments give every counterparty more room to interpret the agreement differently. A small difference in day-count convention or in the treatment of a paid-in-kind (PIK) election compounds across a quarter.
The reconciliation process, step by step
A reconciliation process that scales follows the same sequence regardless of how many facilities it covers.
1. Ingest counterparty data through automated feeds. Administrator positions, agent bank notices, trustee reports, and pricing arrive electronically, with no one keying them in. This is the single largest determinant of accuracy, because manual entry introduces errors at a rate proportional to volume.
2. Process agent bank notices as they arrive. Each notice updates the affected position and cash record on the day it lands. Batching notices to month-end turns a daily exception into a monthly investigation.
3. Run the comparison automatically. The platform compares its own record against each counterparty feed at the position, cash, calculation, and reference data level. It then surfaces every difference as an exception.
4. Work exceptions, not reports. The operations team reviews only the breaks, with the underlying detail on both sides attached. A break in accrued interest shows both the manager's calculation and the administrator's, along with the inputs that differ.
5. Resolve before the reporting layer. Every break is closed, with the resolution and the person who approved it recorded in the audit trail, before positions feed net asset value, investor statements, or compliance tests.
6. Reconcile the calculations, not just the balances. Internal rate of return reconciliation against the administrator confirms the two parties agree on the return, not only on the cash that produced it.
How do you get loan data to tie out to the penny?
Loan data ties out to the penny when three conditions are met at the same time: every input arrives through a controlled feed, every difference surfaces as an exception on the day it occurs, and every resolution is recorded.
The first condition removes the largest error source. A platform with established feeds to the counterparties a firm works with takes manual re-keying out of the process entirely. Those counterparties include administrators such as BNY, Citco, and Alter Domus, as well as agent banks across the syndicated and private markets.
The second condition changes when errors are found. A break discovered at month-end has had up to 30 days to propagate. A break surfaced the day the agent bank notice arrived has affected nothing downstream.
The third condition is what makes the number defensible. An auditor asking why a position changed gets the change, the date, the counterparty record that drove it, and the approver. That audit trail allows a firm to state its position with confidence.
Reconciliation for collateralized loan obligation managers
Collateralized loan obligation managers reconcile to the trustee, and the trustee's timetable is fixed by the indenture.
The manager's book has to agree with the trustee's record of collateral, principal and interest cash, and test results before each payment date. A difference discovered on the payment date is a problem that cannot be undone, because the waterfall has already run. Therefore, managers running multiple deals keep the trustee reconciliation running continuously, and compliance testing runs on the reconciled book. That dependency is covered in collateralized loan obligation compliance testing.
What changes when reconciliation runs on one platform
When loan administration, cash, accruals, and reporting run on one data foundation, internal reconciliation disappears, because there is only one version of each position to begin with.
External reconciliation remains, but it runs as exceptions against automated feeds rather than as a monthly comparison of spreadsheets. Firms replacing spreadsheet-based processes typically find that the accuracy improvement, rather than the time saved, is what changes their operating position. The full set of accuracy standards for private credit operations is set out in the pillar.