Generative AI Streamlines Compliance for Risk Advisory Clients
Grant Thornton LLP has launched CompliAI, a generative AI tool built using Microsoft Azure OpenAI Service, to revolutionize compliance and risk management for its clients. CompliAI leverages Grant Thornton’s proprietary controls libraries alongside advanced AI—such as natural language processing and machine learning—to automate and accelerate normally time-consuming internal audit and risk assessment tasks. This includes control gap and rationalization analysis, preparation of narratives, step-by-step test planning, evidence gathering, and creation of tailored walkthroughs across multiple languages. By digitizing these processes, Grant Thornton delivers measurable operational efficiencies, improved compliance accuracy, and rapid delivery of client value. The platform highlights the value of Azure OpenAI for building transformative domain-specific compliance automation in audit and advisory service industries.
- Organization
- Grant Thornton
- Industry
- Professional Services
- Location
- United States
- Published
- February 2024
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Grant Thornton
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- grantthornton.com
By digitizing these processes, Grant Thornton delivers measurable operational efficiencies, improved compliance accuracy, and rapid delivery of client value
Primary read
Use case focus
Showing 3 of 3
- 1Controls automation
- 2Risk assessment
- 3Compliance management
- Complex and resource-intensive internal audit and compliance processes.
- Frequent regulatory changes create risk of gaps and outdated controls.
- Manual workload for documentation and testing increases costs and delays.
- Need for improved accuracy and consistency in compliance outcomes.
- Developed CompliAI, a generative AI platform on Azure OpenAI Service.
- Digitized risk assessment and control design using natural language processing and ML.
- Automated gap analysis, evidence collection, and test planning.
- Integrated multi-language capabilities for diverse client needs.
- Reduced compliance and risk management timelines from weeks to minutes.
- Greater accuracy and efficiency in identifying control gaps and testing procedures.
- Lower operational costs and faster compliance cycles.
- Scalable for clients in multiple industries.
Implementation partners1
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jun 1, 2026.
The case's original source is still reachable.
- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Was this useful?
Community
Comments
Loading comments...