Solution
For portfolio managers, credit review teams, and chief credit officers at lenders that re-spread borrowers every period: consistent spreads, automatic trend lines, and early warnings that fire when the trend turns.
The problem
Every reporting period re-runs the manual spreading grind across the whole book, and annual reviews become a crunch because nothing was processed along the way.
When two analysts map the same borrower differently across periods, the movement between quarters is mapping variance — and real deterioration hides inside it.
Margin compression and leverage creep surface at the annual review, long after the quarter the trend actually turned.
The product, not a promise
How it works
Recurring statements arrive — interim financials, audited accounts, covenant certificates, tax returns.
Agents extract and normalize every statement to the same template, every period.
New spreads line up against prior periods automatically; trends compute across the history.
Margin compression, leverage creep, and shrinking covenant headroom surface as early warnings.
An analyst confirms flagged movements against the cited source and acts on what is real.
Who it's for
Portfolio analyst
Head of portfolio management
Credit review & examiners
Spreading one statement is a task. Spreading the same borrower’s statements every quarter, consistently enough that the trend line means something, is the part portfolio teams actually struggle with — and it is why annual reviews become a crunch and early warnings arrive late.
Botminds spreads each incoming statement — interim financials, audited accounts, management accounts, tax returns, covenant certificates — to the same template with the same mapping rules, every time. That consistency is the point: when EBITDA means the same thing in Q1 as in Q3, the movement between them is signal. New periods append to the borrower’s history automatically, five times faster than manual spreading, with every number cited to its source page.
With a clean history in place, the platform computes what portfolio managers actually watch: revenue and margin trajectories, leverage creep, liquidity trends, covenant headroom shrinking quarter by quarter. Deterioration is flagged when the trend turns — months before the annual review would have reached that name. Analysts confirm each flag against the cited source figures and decide what warrants action, so alert noise stays low and the flags that fire mean something. The same normalized data rolls up to portfolio level: which segments are weakening, which covenants are tightening across names, where concentrations are building.
Because spreads accumulate all year, the annual review starts from a complete, cited financial history. Every figure traces to the borrower’s own statements; every spread carries its reviewer and approval. When credit committees or examiners ask how a rating held while margins slid, the record answers with pages and dates.
Objections, answered
Every number in every spread cites the page it came from, and an analyst approves each spread before it joins the history. The trend line is built from human-approved, source-cited data — checkable per figure, per period.
That template is the target. Your mapping rules and your definitions apply to every statement, every period — which is what makes the history comparable. Change a rule and it applies consistently from there forward.
The record is built for them: each figure traces to the borrower's statements, each spread carries its reviewer and approval, and the methodology is identical across the book. When asked how a rating held while margins slid, you answer with pages and dates.
Spreading starts as statements arrive — no waiting for a back-book conversion. Historical statements you already hold can be processed to build each borrower's trend line, with your analysts approving spreads from the first file.
Watch the platform spread them to one template, draw the trend, and show you the quarter the deterioration started.
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