The function needed to accelerate analyst output while maintaining strict governance: every output had to be accurate, free of PII leakage, and authorized for the person.
An AI system whose accuracy nobody can measure or trust
3 companies have fixed this with AI, most of them in Financial Services and Technology & Software. Every one that disclosed a timeline was live inside two months; the longest took 4–8 weeks. One disclosed cost: $25K – $100K. Built mostly as knowledge management & search, data synthesis & reporting and document processing & extraction, on Claude (Anthropic), OpenAI / ChatGPT / GPT and DSPy. 2 builders in the Pluris network have done it.
Solutions
3 on fileZapier's LLM-powered spec-generation system automatically produced OpenAPI specifications from API documentation, but its performance was opaque.
An AI-native FP&A software company sold a natural-language finance copilot into finance teams, including Fortune 500.