finance_ops · saas · workflow
How Rogo evaluates frontier models for institutional finance
Finance requires highly bespoke tools, and general AI models often miss context-specific nuances—which ratios matter most, which peers are appropriate, how information should be presented—making the gap between 'looks right' and 'is right' enormous.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User submits inputs
A user starts with guidance and raw inputs such as financials, documents, a banker brief, or other data room materials.
Tools used
Claude Opus 4.7Sonnet 4.6Felix
Outcome
Claude Opus 4.7 and Sonnet 4.6 are integrated into Rogo's platform serving over 35,000 financial professionals running 50,000+ queries per day, with Claude showing strong improvements in PowerPoint generation on Rogo's internal finance benchmarks.
Results
Time saved50,000+
Volume35,000+
Grounding & classification
Source type: vendor customer story
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agentic workflowcontent generationdata extractiondocument aiknowledge basemetric backednamed customerproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedfinancial servicessoftwareemployee productivitythroughput increasevendor customer storyfinance opsagentic task executiondocument to record