Solution
For spreading teams, credit analysts, and data operations leaders at rating agencies, banks, and credit funds: annual reports extracted into your taxonomy at portfolio scale.
The problem
One deployment faced roughly 200,000 bank annual reports, 50,000+ landing every quarter, across geographies, industries, and reporting conventions. Manual spreading cannot keep that pace.
Adjustments, restatements, and off-balance-sheet detail sit in non-standard tables and narrative notes — exactly the places template-based extraction fails.
Checking a spread against the source means re-finding each figure in the report by hand. The verification step becomes its own bottleneck.
The product, not a promise
How it works
Annual reports arrive in bulk — any geography, language convention, or reporting standard.
Pre-trained table and financial-document models parse statements, non-standard tables, and the notes behind them.
Extracted values land in your taxonomy — your line items, your industry variations, your structure.
Analysts review each figure side-by-side with the source page and approve or correct it.
Approved spreads flow to downstream rating and credit systems in the format they expect.
Who it's for
Spreading analyst
Data operations leader
Risk & compliance
Financial spreading is where credit analysis slows down. A large American financial services and rating agency faced the problem at scale: roughly 200,000 bank annual reports to process, 50,000+ arriving every quarter, across many geographies, industries, and regulatory conventions. The data points varied by industry. The hardest values sat in non-standard tables and in the notes — the places template-based extraction gives up.
Botminds reads the whole report the way an analyst does. Pre-trained table-understanding and financial-document models handle the statements; the same models comprehend the notes and description text where adjustments, restatements, and off-balance-sheet detail actually live. On top of that base, the platform learns the client’s own taxonomy — industry-specific line items, naming conventions, and the exact output structure their downstream systems expect. Each report converts to that structure immediately, with every extracted number linked back to the page it came from.
A rating agency cannot publish a figure it cannot trace. That constraint shaped the design: analysts verify extractions side-by-side with the original document, every value carries its source citation, and nothing moves downstream without human approval. Verification stops being a manual rekeying exercise and becomes a review step — which is how the client eliminated its verification bottleneck without loosening compliance.
This is the same spreading engine that powers Botminds lending and credit-decisioning work: document-to-decision, with the decision auditable. If your team spreads financial statements — for ratings, underwriting, portfolio monitoring, or covenant tracking — the intake formats change; the flow does not.
Objections, answered
Every number carries a citation to the page it came from, and analysts verify each figure side-by-side with the original document. Nothing moves downstream without human approval — the constraint a rating agency operates under shaped the design.
The platform learns your taxonomy on top of its pre-trained financial models: your line items, your industry variations, and the exact output structure your downstream systems expect. Each report converts to that structure immediately.
That is where the pre-trained models earn their keep. They read the whole report the way an analyst does — statements, non-standard tables, and the narrative notes where adjustments and off-balance-sheet detail actually live. Low-confidence extractions are flagged for review rather than passed through.
Pre-trained table and financial-document models carry the general workload from day one; configuration is your taxonomy and output structure. The reference deployment sustained 50,000+ reports per quarter at 5× the manual spreading pace.
Watch statements, notes, and non-standard tables land in your taxonomy with every number cited.
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