The account was fine when you approved it. This is how you find out it stopped being fine.
SCREDIT keeps watching customers after onboarding: standing watchlists whose membership is a rule rather than a list, alerts that carry an owner, and portfolio views that show where risk is concentrating.
What is credit risk management software?
Credit risk management software monitors business customers after they are approved. It watches payment behaviour, outstanding balances, bureau movement and financial signals, groups the accounts that meet defined risk conditions, and raises alerts when an account's position changes: the work that happens between formal credit reviews.
Most credit risk is assessed thoroughly once, at the moment it matters least.
Onboarding gets the financials, the bureau report and the analyst's full attention. Then the account joins several thousand others and is not examined again until the annual review, or until it stops paying. The aging report is no help here — a customer sliding toward failure and a customer having a slow month look identical on it.
What SCREDIT delivers
Watchlists That Are a Rule, Not a List
Name the groups that matter — high risk, top exposure, review overdue — and define the condition for membership. Accounts join and leave as the condition becomes true or stops being true, rather than when someone remembers to update a spreadsheet.
Conditions That Can Have More Than One Clause
Real risk rules are rarely a single threshold. Combine conditions with AND and OR — slowing payment behaviour AND rising balance, but only above a size worth acting on — so the list reflects the judgement you would actually apply.
Signals From Five Places at Once
Membership can read application risk, bureau reports, customer credit data, evaluation results and customer metrics. The account is judged on its whole file, not on whichever system someone happened to open.
Direction, Not Just Position
Signals are tracked over a window with a computed slope, so an account still inside your thresholds but moving steadily the wrong way is visible as a trend rather than only as an eventual breach.
Alerts With an Owner and an Ending
A raised alert is acknowledged, resolved or escalated by a named person. Risk that has been seen is distinguishable from risk that has only been generated, which is the difference between a monitoring system and a noise generator.
Review Cadence That Sets Itself
Review intervals derive from limit band and risk grade, so the accounts that justify frequent attention get it and the rest do not consume it.
The Portfolio, Not Just the Account
Portfolio and per-watchlist KPIs, a risk breakdown, and breach alerts when a threshold is crossed at the book level — the view that answers where risk is concentrating rather than whether one customer is troubled.
An Answer to "Why Is This Account Here?"
Open one customer and see the signals behind it, the watchlists and overlays it belongs to, the open alerts against it and its trend signals — assembled on screen rather than reconstructed by re-running something.
What changes on the desk
Deterioration Found Before the Aging Report Shows It
Catch the account that is changing, not just the one that is already late.
Attention Where the Exposure Is
Let cadence follow limit size and risk grade instead of the calendar.
Alerts People Actually Work
Every alert has an owner and a resolution, so the queue stays credible.
A Defensible Risk Position
Show an auditor the rule, the values it saw and the date it fired.
Frequently asked questions
How is this different from the credit decisioning page?
Decisioning is about the moment you say yes: the score, the policy and the approval. This page is about every day afterwards. A customer approved on good financials eighteen months ago may no longer resemble the company you underwrote, and nothing in the decisioning workflow will tell you that. Monitoring is what closes the gap between the review dates.
Does SCREDIT show credit utilisation against the approved limit?
Not today. Exposure in the sense of an outstanding receivable balance is available and can drive a watchlist condition. Utilisation as a live percentage of an approved limit is not, and we would rather state that than let the word "exposure" carry an implication it cannot support. Your ERP holds the enforcement side of the limit.
How is a watchlist different from a report we could already run?
A report is a question you have to remember to ask. A watchlist is a standing answer: membership is maintained as conditions change, entry and exit are recorded events the platform can act on, and each member carries the reason it was added. The report tells you the state of the book when someone ran it. The watchlist tells you the moment something changed.
Can we curate a list by hand as well as by rule?
Yes. Lists can be rule-driven, ranked, or curated manually where the reason for inclusion is a judgement no condition captures — a customer in a dispute you know about, an industry you have decided to slow down in. Manually maintained lists are not evaluated by the rule engine, so a person's decision is not silently overwritten by a threshold.
Does an alert reach anyone, or does it sit in a dashboard?
Alerts carry a lifecycle: acknowledge, resolve, escalate, each against a named user. That matters more than the alerting itself. A system that raises risk nobody has to answer for trains people to ignore it within about a month, and the honest test of a monitoring tool is whether its queue is still being worked in the second quarter.
Is the risk scoring done by AI?
No, and deliberately so. Watchlist conditions and thresholds are rules you define and can read. AI in SCREDIT drafts, explains and summarises — it does not decide who is risky. That is set out in full on our AI governance page, and it is the reason an auditor asking why an account was flagged gets a rule and its values rather than a model output.
How much configuration does this need before it is useful?
Less than a scorecard. Most teams start with two or three conditions they already apply informally — days beyond terms past a number, balance above a threshold, a bureau score drop — and add composite rules once they see which lists they actually work. Starting with twenty conditions produces a queue nobody trusts.
We run several businesses. Can each define its own risk appetite?
Yes. Watchlists, conditions and review cadence are defined per business group, so a construction supply arm and a distribution arm can disagree about what counts as risky while portfolio reporting still rolls up across both.
See continuous monitoring in SCREDIT.
Bring a risk rule you apply by hand today — the one you would check every Monday if there were time — and see it written as a standing watchlist.