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
54 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
- Cognitive Credit
- CovenantIQ
- CredCore
- Crediflow AI
- Credit Benchmark
- CreditBase
- Debtwire
- dv01
- Elimentary
- 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
- PactFi
- Raven (RavenRisk AI)
- Rogo
- Setpoint
- Standd
- Termgrid
- 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.
- LaunchCognitive Credit launches DealConnect: restricted deal disclosures pulled from data sites into source-linked credit modelsPulling lender-only reporting out of dozens of password-protected portals is the step before any spreading, covenant test or AI analysis; a second provider here gives credit teams a choice and a vendor question to ask: does every number click back to the posted report?
- LaunchCardo AI publishes asset-based finance data standards for 30 collateral types on one shared data modelMachine-readable eligibility and covenant rules are what make tape checks and borrowing-base re-runs automatable; a shared field model also makes deals comparable across collateral types.
- DocumentationBloomberg: sponsors push force-majeure-style clauses that pause default remedies for AI disruption in new buyout loansA new clause type to catch in document review: credit teams screening drafts for default and grace-period carve-outs should add AI-disruption triggers to their checklist.
- RegulationSEC's FY 2027 exam priorities name private credit and firms' use of "super intelligence" as focus areasPrivate credit managers using AI in research, monitoring or reporting should expect examiners to ask how those tools are governed and how outputs are checked, alongside the usual sub-line, fee and valuation evidence.
What’s moving in private credit, straight from the filings, and how AI can track it.