Narrative

Narrative develops artificial intelligence tools for compliance and risk oversight teams in regulated industries. Its core proposition is custom-trained large language models built on professionally labeled data reflecting the standards of a given institution's own compliance staff, so that automated review reflects that institution's policies, procedures, workflows and risk judgment rather than generic rules. The company frames the problem it addresses as a widening gap between growth expectations — new products, partnerships and distribution channels that each require timely compliance sign-off — and compliance capacity, where workloads rise while headcount, tooling and budgets remain flat, and where work is spread across many systems, documents and message threads.

The platform combines several elements: custom-trained compliance models; institution-specific workflow automation intended to integrate with existing systems; a mechanism for encoding proprietary institutional knowledge and compliance judgment into reusable AI resources; and enterprise security and governance features including granular permissions, audit trails and SOC 2 Type II certification. Narrative packages these into workflow-specific products: Complaints Intelligence (automated complaint classification and investigation), Collateral Review, Asset Review and QA (consistent high-volume review acting as an extension of a risk team), and Continuous Oversight (always-on monitoring across partner operations to surface compliance risks proactively).

Stated outcomes for customers include faster partner due diligence and onboarding, handling more growth opportunities without additional compliance headcount, and automated navigation of multi-state (50-state) regulatory requirements as state regulatory activity increases.

Business model

Narrative sells AI software to institutional compliance and risk functions, deploying models trained on each customer's own policies, labeled data and workflows, and integrating with the customer's existing systems.

Traction

Materials published by the company cite an average customer return on investment of 350% in the first month of use, a 95% reduction in time spent reviewing and classifying complaints, and 80% fewer classification errors.