There is a lot of loose talk about agents replacing analysts. Spend time actually watching a credit analyst work through a data room, and a more accurate description emerges: agentic workflows do not replace the analyst's judgment, they remove the friction between asking a question and getting a sourced answer.
What an analyst's day actually looks like
A credit analyst working a new deal spends a disproportionate share of their time not analyzing, but locating: finding the customer concentration table buried on page 40 of a quality of earnings report, cross-referencing a covenant definition against three amendments, or reconciling a debt schedule against a cap table that was updated after the schedule was drafted. The analytical judgment, deciding whether a concentration level is a real risk, takes minutes. The locating takes hours.
The friction agentic tools remove
- Answering "what is the leverage covenant in the current credit agreement" without manually searching an amended and restated document.
- Pulling every mention of a specific customer across a data room, with page references, instead of reading every document to find them.
- Reconciling a figure across multiple documents automatically, and flagging the discrepancy instead of leaving it for a human to notice by chance.
What this does not replace
Judgment about materiality
An agent can tell an analyst that customer concentration is 34 percent and rising. It cannot tell the analyst, with the same confidence a seasoned credit person brings, whether that concentration is a structural risk given the customer's own credit profile and the nature of the contract. That judgment call remains squarely human.
Accountability for the memo
A model can draft a paragraph. It cannot stand in front of an investment committee and defend the reasoning behind it.
The analyst who signs the memo is accountable for its conclusions, and that accountability does not transfer to a tool, no matter how good the tool's first draft is.
Where the productivity actually shows up
Teams that have adopted agentic workflows in diligence report the gains concentrated in a few specific places:
- First-pass document review, where an agent flags unusual terms or missing schedules before a human ever opens the file.
- Cross-document reconciliation, catching inconsistencies between a model, a memo and a credit agreement that a human reviewer might miss on a tight deadline.
- Drafting the mechanical sections of a memo, business overview, capital structure summary, so the analyst's time goes into the risk assessment and recommendation.
The risk of overreach
The failure mode to watch for is treating agent output as a finished answer rather than a sourced draft. An agent that summarizes a covenant package without surfacing the underlying language invites an analyst to trust a paraphrase instead of the actual legal text, and paraphrases are exactly where subtle but important qualifications get lost.
Designing for verification, not automation
The workflows that hold up under real diligence pressure are the ones designed around verification rather than pure automation: every agent output carries a citation, every extracted figure carries provenance, and the analyst's job shifts from producing the first draft to checking a well-sourced one. That shift is real, and it is valuable, but it is a change in where the analyst spends their time, not a change in who is accountable for the credit decision.
