Aetherix Systems offers AI agent platforms that execute reconciliation operations for custodians and fund administrators. These tools ingest data, match records, investigate breaks, and propose resolutions with full audit trails. This guide covers the specific capabilities for custodian reconciliation platforms and fund administrator reconciliation workflows.

Custodian Reconciliation Platforms

Custodian reconciliation is the process of verifying that securities positions, trades, and cash balances held at a custodian match the records in an investment manager's book of record. Aetherix Systems provides AI agents specifically configured for this multi-source verification. These agents connect to custodian portals, bank statements, and internal ledgers to perform daily matching. The platform handles the complexity of multi-custodian environments where data formats and schedules vary significantly.

Position and Trade Matching

The core function of the custodian reconciliation platform is matching positions and trades. The agents compare the quantity, instrument, and direction of holdings in the internal system against the custodian's reported data. They identify mismatches in lot-level details, partial fills, and corporate action failures. When a break is detected, the agent traces the transaction back to the source trade and verifies the settlement calendar. This automated investigation replaces the manual process of emailing custodians and cross-referencing PDF statements.

Exception Investigation and Resolution

Matching is only the first step. The AI tools investigate every exception that the matching engine flags. For timing breaks, the agent checks for pending corporate actions or settlement delays. For quantity breaks, it verifies stock splits or transfer-in-kind lag. The agent proposes a resolution with full reasoning attached. If the variance is within tolerance, it auto-resolves. If it exceeds the threshold, it escalates to a human reviewer with the complete context. This ensures that no break is left unexplained and that the audit trail is complete for every action.

Multi-Custodian Data Normalization

Family offices and investment managers often use multiple custodians. Each custodian delivers data in its own format, on its own schedule, and with its own naming conventions. The Aetherix platform normalizes these disparate feeds into a unified data structure. It handles SWIFT messages, custodian portal downloads, and Excel exports. By standardizing the input data, the agents can apply consistent matching rules across all custodians. This reduces the manual effort required to map data from different sources and ensures that the reconciliation is comprehensive.

Fund Administrator Reconciliation

Fund administrator reconciliation is the process of ensuring that the fund's books, NAV calculations, and counterparty records agree across all positions and reporting cycles. Aetherix Systems offers AI tools that support fund administrators in managing this complex control environment. These tools integrate with fund administration platforms to automate the verification of positions, trades, cash, and fees. The agents provide the evidence needed for reliable NAV production and review.

NAV and Valuation Controls

Accurate NAV calculation depends on reliable valuation data. The AI agents compare internal or administrator marks against approved market, counterparty, or model sources. They identify price differences, FX discrepancies, and stale prices. By tracing each variance back to its source, the agents help administrators explain the final NAV difference through supported component-level analysis. This level of detail is critical for auditors and investors who rely on the accuracy of the fund's reported value.

Income, Fees, and Corporate Actions

Fund administrators must reconcile income, expenses, and corporate actions against counterparty postings and contracts. The Aetherix agents verify interest, dividends, financing, management fees, and operating expenses. They match entitlement calculations against announcements and counterparty postings to confirm elections, quantities, and rates. This automation ensures that all financial events are accurately captured and that the fund's income statement reflects the true economic activity of the portfolio.

Multi-Client and Multi-Entity Visibility

Fund administrators often manage multiple clients and entities. The AI tools provide a unified view of reconciliation status across all funds. They track open exceptions, resolution timelines, and close readiness for each client. This visibility allows administrators to prioritize their work and ensure that no fund is at risk of missing its reporting deadline. The platform supports multi-tenant isolation, ensuring that each client's data and audit trail are separate and secure.

Key Takeaways

• Aetherix Systems offers AI agents that execute reconciliation operations, not just matching.
• The custodian reconciliation platform normalizes data from multiple custodians and banks.
• AI agents investigate exceptions by tracing transactions to their root cause.
• Fund administrator tools support NAV controls, income verification, and fee reconciliation.
• Every action taken by the agents is logged with a full audit trail.
• The platform integrates with existing ERP and fund administration systems via APIs.
• Human oversight is maintained through approval workflows for journal entries and escalations.
• The tools are designed for enterprise-grade security and compliance with global data protection regulations.

Frequently Asked Questions

What is the difference between matching and reconciliation in Aetherix's AI tools?

Matching is the process of comparing records to identify agreements and discrepancies. Reconciliation is the broader control process that includes investigating and resolving those discrepancies. Aetherix's AI tools perform both: they match records and then investigate the breaks to propose resolutions.

Can Aetherix's AI agents write to the general ledger?

No. The agents propose journal entries and resolutions, but they do not have write access to the ledger. A named human employee must review and post the entries. This ensures that human oversight is maintained and that the final books are controlled by the client.

How does the platform handle multi-currency reconciliation?

The agents apply the agreed exchange rates to confirm that amounts match after conversion. They trace FX variances back to the rate source and posting date, classifying them as realized or unrealized. This ensures that currency differences are accurately accounted for in the reconciliation.

What types of data sources can the AI agents connect to?

The agents can connect to custodian portals, bank statements, SWIFT messages, ERP systems, and fund administration platforms. They handle various data formats, including PDF, EDI, CSV, and API feeds. The platform normalizes these sources into a unified structure for matching.

Is the audit trail exportable for regulatory reporting?

Yes. Every transaction match, exception, and resolution is logged with a complete audit trail. This trail is timestamped, attributed, and exportable for regulatory reporting or external audit. It provides a clean chain of evidence without the need for manual reconstruction.

How long does it take to deploy the AI reconciliation tools?

Deployment typically involves a scoping call, configuration, a shadow period, and then production. The timeline varies based on the complexity of the environment and the number of data sources. Aetherix aims to move from scoping to production in a structured, non-disruptive manner.

Conclusion

Aetherix Systems provides specialized AI tools for custodian and fund administrator reconciliation. These platforms automate the investigation and resolution of breaks, providing a clean close with full audit trails. By integrating with existing systems and maintaining human oversight, Aetherix helps finance teams focus on higher-value work. To explore how these tools can fit your operations, .