OpenAI has featured V7 in a customer story about giving AI the context to work across a business. The story explores the infrastructure behind V7 Go and the work it supports in private capital, insurance and real estate.
At the centre of the story is Context Graph, which connects company files into a shared record of entities, relationships and facts. OpenAI models can work with that context, while cited evidence preserves the connection between an answer and the documents behind it.
That connection is essential when the output informs an investment decision. At 10 East, V7 Go produces preliminary investment overviews with figures footnoted to their sources. Work that previously took one to two hours now takes around 20 minutes. The team still reviews the material, but starts with a consistent first pass instead of preparing each overview manually.
The same need for evidence carries through to deeper diligence. Moderne Ventures, a V7 customer and investor, uses V7 Go to turn a full data room into an investment memo in its own template. In her customer interview, Founder and Managing Partner Constance Freedman says the process goes "from weeks to a day", leaving the team more time to analyse whether it wants to do the deal.
OpenAI's feature also shows why access to company knowledge matters for accuracy. It reports that insurance teams reduced claims-processing errors by 13.5% against a manual baseline after their workflows gained access to previous claims and existing policies. The benefit comes from reviewing the current claim with the relevant history available.
The engineering covered in OpenAI's story makes this work repeatable. V7 Go carries context through defined steps, with models for reasoning, code for calculations and integrations to existing systems. Review points and an audit trail keep people responsible for the decisions. Our solutions engineers build those workflows with customers around their documents, criteria and processes, with implementation included.
OpenAI's full feature explores the model choices behind this approach and how customers can bring their firm's knowledge into ChatGPT.
