AnswersPrivate credit
In short
Private credit managers use AI across the firm: screening deal flow, preparing underwriting, monitoring borrowers between reporting dates, supporting capital markets and CLO work, answering investors and advisers, and running fund operations and compliance. Information barriers come first, so public-side and private-side data never mix, and every action is recorded.
| Area | What AI does |
|---|---|
| Origination and screening | Screens incoming deals against the mandate and prepares a first view. |
| Underwriting | Builds models and memos from borrower data with every figure traced to source. |
| Portfolio monitoring | Reads borrower reporting, news and covenants and flags early warning signs. |
| Capital markets and CLOs | Tracks collateral tests and prepares trustee and investor reporting. |
| Fundraising and investor relations | Answers due diligence questionnaires and adviser questions from approved material. |
| Fund operations and finance | Handles capital calls, distributions, reconciliations and reporting. |
| Compliance | Monitors restricted lists and information barriers and records every access. |
Information barriers must be enforced by the platform: who can see which borrower's data, on which side of the wall, recorded every time. Approvals sit on anything that leaves the firm, and the audit trail is ready for regulators and investors.
Portfolio monitoring or due diligence questionnaires, both high-volume and easy to check. Fig builds them on CosmOS in the manager's own cloud or Fig's, with access that follows each system's permissions.
Showcase: RFP and DDQ response →Showcase: portfolio risk trends →
Yes, when access is enforced by the platform and follows each user's side of the wall, with every access recorded.
Agents read borrower reporting against covenant terms and flag breaches and early warning signs for the deal team.
With portfolio monitoring or investor questionnaires, both high volume and easy to verify.
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