Business intelligence and risk management for professional & financial services using LLMs

The Challenge

Professional and financial services firms — accountants, lawyers, insurers, fintechs — sit on large volumes of unstructured information: client records, filings, contracts, market and regulatory news. Turning that into timely business intelligence and robust risk assessment has traditionally required expensive analyst time, and conventional BI tooling handles structured data far better than the documents and text where most of the risk signal actually lives.

The Solution

FLAIR applies recent innovations in large language models to exactly this gap. NquiringMinds is building LLM-driven business-intelligence and risk-management capabilities on its trusted-data platform, combining language-model reasoning over unstructured sources with the data-fusion, security and provenance controls that regulated professional-services firms require.

Outcomes

The project maintains a live demonstrator at flair.nqm.ai, developed across quarterly delivery phases through to project completion in early 2026, with NQM roles spanning Head of Programmes, AI Expert, AI Developer and Finance Consultant, and sub-contracted development support from Business Systems and Consultancy Ltd.

In Detail

LLM-powered business intelligence and risk insight for professional and financial services.

Professional and financial services firms — accountants, lawyers, insurers and fintechs — sit on large volumes of unstructured information: client records, filings, contracts, market and regulatory news. FLAIR applies large language models to turn that information into timely business intelligence and robust risk assessment, pairing language-model reasoning with the data-fusion, security and provenance controls that regulated firms require.

Core benefits

• Unstructured-data intelligence — LLM analysis of the documents and text where most of the risk signal actually lives.
• Risk-management outputs — earlier, more systematic identification of client and market risk, tailored to professional and financial services use cases.
• Provenance and trust — AI-derived insight carries confidence weighting and provenance, not raw chatbot output.
• Secure by design — sensitive client and financial data handled to professional-services standards.

Live demonstrator

A live demonstrator is maintained at flair.nqm.ai, developed and iterated across quarterly delivery phases.