What is loan review software?
Loan review software helps an independent credit review team check that loans are correctly risk rated, properly documented and performing as expected. It gathers loan data, spreads and documents, runs the review steps, records findings and reports results. Banks, credit unions and private credit funds use it to replace sampling spreadsheets and manual checklists.
Loan review sits apart from the lending team on purpose. Its job is to give the board, management and examiners an independent view of credit quality. That independence only helps if the review is consistent, well evidenced and covers enough of the portfolio to be meaningful. Software is how teams try to do more of that with the same staff.
Where do spreadsheets and sampling stop working?
Many loan review teams test a sample each cycle, chosen by size, risk grade or loan type, and track findings in spreadsheets. This works when the team is well staffed and the portfolio is stable. It strains when the portfolio grows, staff turn over, or a problem sits in the part of the book the sample did not reach.
- The sample is chosen by size, so smaller loans with weakening credit can go years without a look.
- Reviewers gather statements, spreads and documents by hand before any review starts.
- Each reviewer writes findings differently, so results do not roll up cleanly across the portfolio.
- Grade changes recommended by loan review are tracked in email and may not reach the loan system.
- There is no clear link between a finding and the evidence that supports it.
- Repeat findings for the same officer or loan type are hard to spot across cycles.
- Reports for the board and examiners are rebuilt by hand each time.
Which loan review platforms support full-portfolio coverage instead of sampling?
Full-portfolio coverage means every loan gets an automated first pass, and people spend their time on the loans that pass flags. The software checks each loan against your credit policy: is the risk rating consistent with the latest financials, are statements current, are covenants passing, is collateral valued recently, are documents complete. Loans with exceptions go to a reviewer. Loans with none are recorded as checked, with the evidence attached.
When you evaluate a platform, ask what the automated pass actually tests, where the data comes from, and how a reviewer sees why a loan was flagged or cleared. Some products focus on scoping and sampling workflows, which still help a sampling program run better. Others aim to test every loan. Both can be useful, but they are different things, so ask the vendor directly which one you are buying.
A practical path is to keep your current sample for the next cycle and run the automated pass over the whole book in parallel. Compare what each approach found. That shows whether the software catches what your reviewers catch, and what the sample missed.
How do you review loans by audit assertions?
Some teams borrow the idea of assertions from financial statement audits to make loan review more structured. Each loan is tested against a fixed set of questions, and each question has its own evidence. Software that supports this lets you see coverage by assertion across the portfolio, not only by loan.
| Assertion | Question for each loan | Typical evidence |
|---|---|---|
| Existence | Is this a real loan to a real borrower, booked as approved? | Approval record, signed note, loan system record, payment history |
| Rights and obligations | Does the institution hold enforceable rights to repayment and collateral? | Loan agreement, guarantees, security documents, lien filings, title and insurance |
| Valuation | Is the risk rating, and any impairment or reserve, supported by current information? | Recent spreads, cash flow analysis, collateral valuations, rating rationale |
| Collectability | Is the borrower likely to repay on the agreed terms? | Repayment capacity, covenant results, payment and past-due history, guarantor strength |
What should you automate, and what should stay with people?
Automate the gathering and the first pass. Software can pull loan data from the core system, collect the latest spreads and documents, check document completeness, compare the current risk rating with what the financials and covenant results suggest, and flag stale statements or valuations. It can also draft a review summary for each loan with the evidence linked.
Keep conclusions with people. Whether a rating should change, whether a finding is material, whether an exception is acceptable, and what to report to the board are judgments for the loan review team. Software can propose a finding and show why. A named reviewer should accept, change or reject it, and the lending team should respond on the record.
What is the typical stack, from data intake to the board report?
Loan review touches most of the credit process, so the stack is wide. When you compare options, ask which layers the product covers and which it expects from other systems. A review tool that cannot read your loan data or spreads will leave reviewers gathering files by hand.
- Loan data: balances, ratings, payment history and past-due status from the core or loan accounting system.
- Credit files: spreads, credit memos, covenant results, collateral valuations and loan documents.
- Scoping: rules for which loans get a full review, a targeted review or an automated pass.
- Testing: checks by loan and by assertion against your credit policy.
- Findings: a structured record of each exception, its severity, the evidence and the owner.
- Responses: a workflow for the lending team to respond and for loan review to close or escalate.
- Rating changes: recommended grade changes routed to the right approver and written back to the loan system.
- Reporting: board, committee and examiner reports built from the same record.
How do the main approaches compare?
Loan review is delivered in a few different ways, and many institutions combine them. The right mix depends on your portfolio size, your internal staff and how much of the review you want done in-house.
| Approach | Typical buyer | Strengths | Trade-offs |
|---|---|---|---|
| Outsourced loan review services | Institutions without a full internal team, or wanting an outside view | Experienced reviewers and independence from day one | Usually sample-based and periodic; findings may arrive months after the data |
| Loan review workflow software | Internal loan review teams at banks and credit unions | Structures scoping, sampling, findings and reporting in one place | Reviewers still gather and read files; coverage still depends on staff time |
| Review modules inside lending or risk platforms | Institutions already using that platform for origination or risk | Direct access to loan data, spreads and ratings | Review may be a smaller part of the product; independence of setup needs care |
| Private credit portfolio monitoring platforms | Private credit, direct lending and venture debt funds | Borrower reporting, covenants and valuation for ongoing portfolio review | Often not built around a bank-style loan review program or examiner reporting |
| AI-native credit platforms | Lenders wanting an automated pass over every loan | Full-portfolio first pass with evidence linked; reviewers focus on exceptions | Newer category; check how flags are explained and how conclusions stay with people |
Which vendors are in this market?
The list below is a starting point, not a ranking. Each description is based on the vendor's own published material at the time of writing. Many accounting and advisory firms also offer outsourced loan review services. Buyers should verify current capabilities directly with each vendor.
- Abrigo offers DiCOM Loan Review, workflow software for loan review teams at banks and credit unions, with a generative AI add-on called Loan Review Assistant.
- Crowe offers Credit360 for Loan Review Departments, cloud-based loan review software, alongside its loan review services.
- Baker Hill offers portfolio monitoring with automated risk rules and alerts as part of its lending and risk platform for banks and credit unions.
- Moody's offers a lending suite, including CreditLens, that covers spreading, scoring and credit risk monitoring.
- Allvue offers private debt software with covenant tracking and portfolio monitoring for credit fund managers.
- Chronograph offers a private credit platform for borrower data collection, covenant monitoring, valuation and portfolio analytics.
An evaluation checklist for loan review software
Use the list below when you compare products. The most useful test is to run each product over one segment of your real portfolio and compare its findings with your last review of the same loans.
- 1Can it run an automated first pass over every loan, or only manage a sample?
- 2What does that pass test, and can you change the tests to match your credit policy?
- 3Can you see coverage by assertion as well as by loan?
- 4Does it pull loan data, spreads, covenant results and documents from your systems?
- 5Does each finding link to the evidence that supports it?
- 6Does it compare the current risk rating with what the latest financials suggest?
- 7Is there a workflow for lending responses, closing findings and escalation?
- 8Are recommended rating changes routed to an approver and written back to the loan system?
- 9Can it show repeat findings by officer, branch, loan type or cycle?
- 10Are board and examiner reports produced from the same record without reformatting?
- 11Is independence preserved, with loan review controlling its own scope and conclusions?
- 12Which steps does AI perform, and where does a reviewer decide?
- 13Where is your data stored, who can see it, and is it used to train any model?
How is loan review software usually priced?
Pricing models vary, and vendors do not always publish them. Software is often priced per user, per loan or relationship reviewed, by asset size or portfolio size, or as a platform fee. Outsourced loan review services are usually priced per engagement, by number of loans or exposure reviewed, or by reviewer time.
Ask about setup, data integration, migration of past findings, and training. If you plan to move from sampling to a full-portfolio pass, ask whether per-loan pricing still makes sense at that scale, and whether you can start with one segment of the book.
What do private credit and direct lenders need differently?
Private credit, direct lending and venture debt funds do not always have a separate loan review department, but they face the same question: is each position rated, valued and monitored correctly? The answer usually feeds the investment committee, the valuation process and investor reporting rather than a bank examiner.
- LP reporting: review results that support quarterly letters, valuation marks and investor due diligence questions.
- Borrower count scaling: as a fund grows past a few dozen names, a full first pass on every position helps a small team focus on the ones that changed.
- Deal-specific definitions: reviews that test each position against its own agreement's covenants and definitions, not a standard bank template.
- Data stack: findings and ratings exported cleanly to a data warehouse such as Snowflake or to the fund administrator.
- Valuation link: rating changes and findings that inform fair value marks, with the evidence kept for auditors.
How Aarvion helps
Aarvion Risk OS Commercial Credit runs a first pass over every loan in the portfolio under your institution's own credit rules. It checks ratings against the latest spreads and covenant results, flags stale statements and missing documents, and drafts a review summary for each loan with every figure traceable to its source page.
Loan review keeps its independence: a named reviewer accepts, changes or rejects each finding, and recommended rating changes go to the person with authority to approve them. Everything is recorded, including what was checked, what was found, who decided and when. Customers start with a 90-day pilot on one workflow.
