The situation
Every new client file starts with the same chore: read the reports, pull the indicators, check the news, and write it up. It is slow, repetitive, and the quality depends on who did it that day.
Documents · Finance
Finance and advisory teams spent hours turning annual reports into a readable company profile. We built a workflow where they upload the documents and receive a clean, well-written profile page, assembled by four agents.
The situation
Every new client file starts with the same chore: read the reports, pull the indicators, check the news, and write it up. It is slow, repetitive, and the quality depends on who did it that day.
What changed
The documents are parsed by an AI document parser, chosen after we benchmarked it against a plain OCR. Three analysis paths run in parallel, and a fourth agent merges them, cleans the figures and the wording, and delivers one readable profile page.
How it works
Up to four PDF files and an email address, from a simple web page.
An AI document parser turns the files into structured text.
KPIs, web research and document analysis run side by side.
A fourth agent combines the three, cleans the data and writes the copy.
One self-contained profile page, sent to the workspace or by email.
Where the AI stops
The model
The code
By the numbers
Built with
Built for
AI consultingGranit AIAI consulting and automation: strategy, RPA, agents and custom tools for organisations.Read the client storyMore use cases
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