AI Credit RiskAgent

Most loan books get a real credit review once a year, and problems surface late, at renewal or after a missed payment. An AI Credit Risk Agent watches the whole book continuously, flags early signs of deterioration, and prepares the review. It watches; the risk team acts.

Tecla builds it inside your environment and runs it, wired into the loan, financial, and covenant data your team already uses.

The shift underway

Credit risk is moving from periodic review to continuous monitoring, because the signals that a loan is turning show up between reviews. The numbers show how far lenders are taking it.

80k–750k

of credit risk organizations expect to implement generative AI within a year.

Source: McKinsey

3–5+ hrs

months before default that an early-warning system can detect credit deterioration.

Source: EY / PwC

25–35%

less adviser time on a deal when review is AI-assisted in a structured data room.

Source:

How it works

How the agent works

Diligence is reading a data room end to end against a checklist, then writing up what matters, exacting work done under deal-clock pressure. The agent does that reading for every document and drafts the findings, so the deal team starts from a memo, not a pile of PDFs.

01

Data Room Read

Ingests the full data room, financials, contracts, cap table, corporate records, and reads every document rather than sampling, so nothing material is missed under deadline.

Reads the room
02

Checklist Runner

Works the diligence checklist your firm uses, mapping each requested item to what the data room actually contains and flagging what is missing.

Works the checklist
03

Risk Finder

Surfaces what deals turn on: customer concentration, change-of-control clauses, revenue-recognition issues, unrecorded liabilities, and off-checklist red flags.

Finds the risk
04

Source Linker

Ties every finding back to the exact document and page it came from, so an analyst can verify each point before it reaches the investment committee.

Cites the source
05

Memo Draft

Assembles the findings into a draft diligence memo in your firm's own template and format, ready for the deal team to refine and present.

Drafts the memo

Human in the loop

Every finding traces back to the document it came from, so an analyst can verify each point. The agent reads and drafts; the investment decision, and the judgment on what a red flag means for the deal, stays with the deal team, not the model.

Scoped to you

This is a typical due diligence build. The exact parts are scoped to how your firm runs: your diligence checklist, which workstreams the agent covers, your memo template, and how findings route to the deal team.

See what this would look like built around your portfolio operation.
How it reaches production

Built, run, and owned, one phase at a time

A diligence tool that reads a clean sample can still miss what matters in a real, messy data room under deal-clock pressure. A scoped brief, a named team, and someone accountable at each stage are what make this one dependable on live deals.

Sprint

Scope, fixed price

We map your diligence checklist, the workstreams in scope, your memo template, and the data room setup, then return a plan and a price before you commit.

AI Solutions Lead
Build

Built into your environment

Senior engineers assemble the agent inside your environment, wired into the data room, deal management, and document systems your team already works in.

AI Systems Lead
Run

Monitored and improved

The agent adapts as your checklist and deal types change, and we report against the metrics set at scope: documents reviewed, diligence turnaround, findings surfaced per deal.

Systems Lead + Engineers
Own

Yours, improving

The system is yours to keep, and it learns your firm's diligence standards over time rather than staying a generic document reader bolted on the side.

Your team

A build starts with a fixed-price Tecla Sprint that scopes and prices it before you commit.

‍ Book a scoping call
How it holds up

Trustworthy enough to put in front of the IC

A diligence finding the deal team cannot trust is worse than none, because the investment decision rests on it. What makes this one dependable is that every finding is sourced to the document, checkable, and stops short of the investment judgment that belongs to a person.

Reviewed by trajectory

Every finding cites the document

Each finding links back to the exact document and page in the data room, so an analyst can verify it before it reaches the investment committee. The agent surfaces; it does not assert what it cannot source.

Human in the loop

It reads, the deal team decides

The agent reads documents and flags risks, but what a finding means for the investment, and whether to proceed, stays with the deal team. It informs the decision; it does not make it.

Tuned over time

It learns your diligence standard

As your checklist, memo format, and deal types change, the agent is kept current, so its output matches how your firm actually runs diligence.

Start the build

Catch deterioration early, keep the credit call

A scoping call maps your loan book and risk framework, returns what the agent would monitor and flag, and prices the fixed-price Sprint to build it.

Fixed-price AI Systems Sprint. No commitment until scope is confirmed.

What deal teams ask first

What is an AI credit risk agent?

It continuously monitors the loan book, covenants, financials, and public records to flag deterioration for risk officers.

How is an AI credit risk agent different from a periodic credit review?

A periodic review is scheduled; the agent monitors the whole book every day between reviews.

Does the credit risk agent downgrade or act on credits itself?

No. It prepares warnings and reviews; risk officers decide whether to downgrade, reserve, or act.

How does the agent keep its warnings trustworthy?

Each warning includes the covenant, filing, or record that triggered it so risk officers can verify the evidence.

What does Tecla's credit risk build cover?

Tecla scopes covenant structures, data sources, rating framework, and risk limits inside your environment.

What signals can the credit risk agent monitor?

It can monitor covenants, ratios, filings, liens, litigation, rating migration, and concentration.

How is borrower data kept secure?

Borrower and portfolio data remain in your environment under your access rules.

How long does a credit risk build take?

A fixed-price Sprint maps covenants, data sources, and rating framework before the build.

We have a credit risk team already. Where does the agent fit?

It monitors the whole book so the risk team focuses on credits needing attention.

How do we get started with Tecla?

A scoping call maps the loan book and risk framework and returns scope, measures, and Sprint cost.

Have any questions?
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