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Consulting, legal, accounting and other highly regulated professional organisations.
Professional Services
AI applied to client work where confidentiality, independence and professional standards apply.
The challenge
What makes governance hard here.
- AI is used in client delivery where confidentiality and professional standards apply.
- Client data segregation and independence requirements constrain AI usage.
- Professional bodies and clients expect demonstrable oversight of AI-assisted work.
How Regurai helps
What changes with a connected model.
- Register AI systems by engagement context, permitted use and data boundaries.
- Connect professional obligations to policies, controls and evidence.
- Provide traceable oversight of AI-assisted deliverables.
Use cases
Decisions Regurai supports in this sector.
Governing permitted AI usage across client engagements
Tracking client data boundaries and confidentiality constraints
Evidencing oversight of AI-assisted professional work
Assessing investment in AI capability across practices
Relevant capabilities
Capabilities most used here.
- AI & Model Inventory
- Policy & Control Library
- Data Lineage & Sensitivity
- Decision Workspaces
- Audit Trail & Evidence
Governance considerations
What oversight typically focuses on.
- Client confidentiality and data segregation
- Professional standards and independence requirements
- Oversight and review of AI-assisted deliverables