https://privatecredittech.com/The guide to AI use cases in private credithttps://privatecredittech.com/articles/why-private-credit-is-a-graph-problem/https://privatecredittech.com/articles/why-private-credit-is-a-graph-problem/Private credit exposure lives in the links between borrowers, sponsors, lenders, facilities, guarantors and holders, not in any single row. Here is why spreadsheets break and what a graph model fixes.https://privatecredittech.com/articles/cross-lender-borrower-graph-bdc-holdings/https://privatecredittech.com/articles/cross-lender-borrower-graph-bdc-holdings/Using SEC schedule-of-investments data for seven reconciled BDCs at 6/30/2026, we built a small networkx graph of BDCs and borrowers. After filtering, 208 of 2,034 approximately matched borrowers are held by two or more of the seven.https://privatecredittech.com/articles/knowledge-graphs-llm-agents-credit-agreements/https://privatecredittech.com/articles/knowledge-graphs-llm-agents-credit-agreements/Credit agreements are networks of defined terms, cross-references and baskets. Representing them as a graph gives LLM agents a better way to answer questions like 'can this borrower move assets to an unrestricted sub?' than chunk-based retrieval alone.https://privatecredittech.com/articles/graph-use-cases-by-sector/https://privatecredittech.com/articles/graph-use-cases-by-sector/Five concrete graph patterns for credit teams: CLO look-through overlap, secondaries portfolio overlap, sponsor-network contagion, LP concentration in fund finance, and SRT reference pool analysis. Each covers what the nodes and edges are, the query, and where the data comes from.https://privatecredittech.com/articles/build-vs-buy-graph-tools-credit-teams/https://privatecredittech.com/articles/build-vs-buy-graph-tools-credit-teams/A neutral, sourced overview of graph databases (Neo4j, Kuzu and its forks, Memgraph, TigerGraph, Amazon Neptune) and entity-resolution data sources for private credit teams, with the questions to ask before you build or buy. No rankings.https://privatecredittech.com/news/carbonai-12m-cre-lending-agents/https://privatecredittech.com/news/carbonai-12m-cre-lending-agents/Agent tooling is moving into CRE debt underwriting and surveillance, where rent-roll extraction is the bottleneck.https://privatecredittech.com/news/credcore-credit-agents-launch/https://privatecredittech.com/news/credcore-credit-agents-launch/Questions like LME or priming capacity need several specialists; vendors now pitch multi-agent orchestration with clause-level citations for that work.https://privatecredittech.com/news/nyc-private-capital-summit/https://privatecredittech.com/news/nyc-private-capital-summit/Vendors are pitching credit agents on stages through early November. Ask each for a live traceback demo on a document you choose, not a slide.https://privatecredittech.com/news/hebbia-octus/https://privatecredittech.com/news/hebbia-octus/Covenant benchmarking against comps is moving from a separate terminal into the same agent that reads your credit agreement. Second Octus integration in a month (Rogo, 21 Sep).https://privatecredittech.com/news/gemini-4-argon/https://privatecredittech.com/news/gemini-4-argon/A 1M-token window fits a credit agreement plus amendments in one pass. Re-run your covenant-extraction test set before switching; benchmark rank is not your eval.https://privatecredittech.com/news/lseg-octus-talks/https://privatecredittech.com/news/lseg-octus-talks/Octus data sits behind several AI tools credit teams use (Hebbia, Rogo, Harvey, Perplexity). A change of owner could change access terms.https://privatecredittech.com/news/crediflow-flow-credit-memo/https://privatecredittech.com/news/crediflow-flow-credit-memo/The memo-formatting step, not only the analysis, is a recurring analyst time sink; template-faithful drafting is becoming a product category.https://privatecredittech.com/news/claude-haiku-5-5/https://privatecredittech.com/news/claude-haiku-5-5/The economics of 'read every amendment in the book every night' just changed. Cheap sub-agents for extraction, a bigger model for judgment.https://privatecredittech.com/news/allvue-access-2026-agentic-mcp/https://privatecredittech.com/news/allvue-access-2026-agentic-mcp/System-of-record vendors are opening up to outside agents. Ask how permissions and audit trails carry through.https://privatecredittech.com/news/versana-loan-voting/https://privatecredittech.com/news/versana-loan-voting/Amendment requests arrive faster and in structured form. Your side still has to read what you're voting on, overnight.https://privatecredittech.com/news/moodys-edfx-private-credit/https://privatecredittech.com/news/moodys-edfx-private-credit/Soft events are becoming a scored, standard metric. Internal ratings that only move on default risk will look stale next to it.https://privatecredittech.com/news/bloomberg-completes-canoe/https://privatecredittech.com/news/bloomberg-completes-canoe/Fund document data (capital calls, statements) is moving into the same terminal stack credit teams already use.https://privatecredittech.com/news/golub-f2/https://privatecredittech.com/news/golub-f2/A $90bn+ lender is betting on model-agnostic agents built around its own memos and data. Expect peers to be asked 'what's your AI plan' at the next LP meeting.https://privatecredittech.com/news/sp-ratings-ai-data-portal/https://privatecredittech.com/news/sp-ratings-ai-data-portal/Rating data an agent can pull directly makes rating-mapping and private-rating checks easier to automate. The underlying licence terms still apply.https://privatecredittech.com/news/dv01-agentic-infrastructure/https://privatecredittech.com/news/dv01-agentic-infrastructure/Borrowing base drafting from the credit agreement is exactly the ABF check on this site's card. Keep a person signing off each report.https://privatecredittech.com/news/73strings-acquires-callisto/https://privatecredittech.com/news/73strings-acquires-callisto/Valuation and monitoring vendors are opening their data to agents. That matters for valuation evidence packs now that the SEC is focused on marks.https://privatecredittech.com/news/rogo-octus/https://privatecredittech.com/news/rogo-octus/Licensed credit data is becoming a plug-in to agents rather than a destination. Check what your current licences already allow.https://privatecredittech.com/news/lumonic-12/https://privatecredittech.com/news/lumonic-12/The monthly-pack-to-covenant-test loop is the monitoring workflow vendors are now productising. Ask for the traceback demo, not the slide.https://privatecredittech.com/news/octus-harvey-connector/https://privatecredittech.com/news/octus-harvey-connector/Covenant and docket data inside lawyers' agents changes how documentation and restructuring work gets checked on the lender side too.https://privatecredittech.com/news/octus-perplexity-connector/https://privatecredittech.com/news/octus-perplexity-connector/Proprietary credit data is reaching general-purpose agents. Check what your licence allows before an agent pulls it into deal work.https://privatecredittech.com/use-cases/bdc-underwater-loans/https://privatecredittech.com/use-cases/bdc-underwater-loans/An LP analyst covering seven large BDCs wants the list of holdings marked below 90% of cost from the June 30, 2026 filings.https://privatecredittech.com/use-cases/covenant-extraction/https://privatecredittech.com/use-cases/covenant-extraction/An associate on a new deal needs the covenant package, EBITDA add-backs, and key baskets from a publicly filed credit agreement before the term-sheet call.https://privatecredittech.com/use-cases/cross-bdc-exposure/https://privatecredittech.com/use-cases/cross-bdc-exposure/A deal team pricing a new loan to a sponsor-backed software company wants to know which BDCs already lend to it and at what marks.https://privatecredittech.com/use-cases/software-ai-exposure/https://privatecredittech.com/use-cases/software-ai-exposure/An LP wants to know how much of each BDC's book is software and how those marks are moving.