Private Credit Tech
AI use cases for private credit, explained.
From simple prompts to agentic workflows, across origination, underwriting, monitoring and reporting, shown on real data.
Start with a walk-through
The input, what the AI produces, what a person checks, and the issue it finds.
- SAMPLE CIMScreen a CIM against the fund boxLeverage is 6.6x on lender-adjusted EBITDA against a 5.5x limit: no-go as proposed.
- SAMPLE certificateRe-check a compliance certificateThe certificate says 4.90x. Re-run from the definitions it is 5.40x against a 5.25x maximum.
- Public ABS tapeScreen an ABF loan tapeExtended loans report as current. Counting them, 60+ day delinquencies go from 4.1% to 5.7% of the pool.
Start small or go big
Quick wins, building blocks and transformational use cases.
Quick wins Low risk
One document, one prompt, a person checks the output.
- Prompting on a document: ask a question of a CIM and get an answer with page cites
- Extracting a table: covenants and test levels out of a credit agreement
- A summary with citations: the quarter in five bullets, each tied to a filing
Transformational Bigger build
Many sources, many steps, review checkpoints built in.
- Multi-step agentic workflows: a data room that tracks its own request list
- Portfolio monitoring: monthly reports across many deals in one table
- A knowledge graph across filings: who holds a borrower and how each marks it
Ways to apply AI
Five approaches, from simplest to most involved. Plain definitions in the glossary.
- PromptingAsk a model a question about a document and check the answer.
- WorkflowsFixed steps that run the same way every time.
- AgentsA model that picks its next step and uses tools.
- Agentic workflowsAgents inside a defined flow, with human checkpoints.
- Graph engineeringEntities and links across documents, traceable to source.
By deal stage
Where each use case sits in the life of a loan.
Six use cases to start with
Six use cases, each with the manual step it replaces.
- Building blockSpread quarterly packs into one modelReplaces: Re-keying every borrower's packEst. 180–3,300 analyst hrs/yr saved
- Stage
- Monitor portfolio
- Sector
- Direct lending
- Source
- Your own docs
- Quick winCovenants out of the agreementReplaces: Reading 200 pages for covenant termsEst. 160–1,320 analyst hrs/yr saved
- Stage
- Underwrite
- Sector
- Direct lending
- Source
- Credit agreements
- Quick winTriage a waiver requestReplaces: Reading a sponsor ask against the agreementEst. 22–330 analyst hrs/yr saved
- Stage
- Monitor portfolio
- Sector
- Direct lending
- Source
- Your own docs
- TransformationalScan agreements for LME trapdoorsReplaces: Reading each agreement for blockersEst. 80–1,100 analyst hrs/yr saved
- Stage
- Underwrite
- Sector
- Special sits
- Source
- Credit agreements
- TransformationalCLO test what-ifReplaces: Re-running CLO tests in ExcelEst. 100–860 analyst hrs/yr saved
- Stage
- Monitor portfolio
- Sector
- CLOs
- Source
- Trustee reports
- Building blockILPA template and DDQ draftsReplaces: Mapping ledgers and answering DDQs by handEst. 160–2,100 analyst hrs/yr saved
- Stage
- Report
- Sector
- Fund ops
- Source
- Your own docs
Worked example: BDC filings
One sector, worked end to end on public filings: marks, shared borrowers, software exposure and the Q3 results calendar.
BDC filings, worked examples and calendar All worked examples →
Vendors
50 vendors, each capability sourced to the vendor’s own site. Not endorsements.
- 73 Strings
- 9fin
- Acuity Analytics
- Alkymi
- Allvue
- AlphaSense
- Alphastream
- Alter Domus
- Bloomberg Terminal
- Blueflame AI
- Canoe Intelligence
- CarbonAI
- Cardo AI
- Carta
- Chronograph
- Claira
- Cobalt
- CovenantIQ
- CredCore
- Crediflow AI
- Credit Benchmark
- CreditBase
- Debtwire
- dv01
- Ellis
- F2
- Finley
- Fitch Ratings
- Goldslate
- Hebbia
- Henon
- Hypercore
- Indus Valley Partners (IVP for Credit)
- Intain
- KBRA
- Lev
- Lumonic
- Moody's
- Octus
- Ontra
- Orion (Private Credit AI)
- Oxane Partners
- Raven (RavenRisk AI)
- Rogo
- Setpoint
- Standd
- The LoanEdge
- V7 Go
- Versana
- WhaleBlue
Latest in AI × private credit
Dated, sourced launches, partnerships, funding and adoption, newest first. Credit-market items are on the news page.
- Funding & M&ACarbonAI raises $12m, led by Cowboy Ventures, for AI agents in commercial real estate lendingAgent tooling is moving into CRE debt underwriting and surveillance, where rent-roll extraction is the bottleneck.
- LaunchCredCore launches Credit Agents: legal, structural and financial agents that answer cross-discipline questions on a firm's own deal filesQuestions like LME or priming capacity need several specialists; vendors now pitch multi-agent orchestration with clause-level citations for that work.
- EventNew York Private Capital Summit (CapLink) puts AI and data due diligence on the agendaVendors are pitching credit agents on stages through early November. Ask each for a live traceback demo on a document you choose, not a slide.
- PartnershipHebbia plugs Octus credit data in through the Octus MCP ConnectorCovenant 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).
What’s moving in private credit, straight from the filings, and how AI can track it.