Industries we serve
Financial services
Model risk, data protection, and regulator expectations for AI in banking, insurance, and investment firms.
Typical focus: model risk management, explainability, customer-data protection, third-party AI oversight, and AI in fraud, servicing, and operations.
Healthcare
Protecting patient data while adopting administrative and clinical-adjacent AI.
Typical focus: protected health information in prompts and retrieval, administrative automation, vendor AI review, and human oversight requirements.
Energy & utilities
AI for operations and asset management alongside critical-infrastructure security.
Typical focus: separation of AI from operational technology, field-operations knowledge assistants, and security monitoring for critical infrastructure.
Transportation
Operational AI across logistics, maintenance, and customer service.
Typical focus: predictive maintenance, document-heavy logistics automation, safety-related oversight, and secure integration with operational systems.
Technology companies
Governing AI features in products and AI use across engineering.
Typical focus: AI product governance, AI agent security, secure RAG architecture, customer trust documentation, and ISO/IEC 42001 readiness.
Professional services
Knowledge assistants and automation with client confidentiality intact.
Typical focus: client-data segregation in retrieval, generative AI acceptable use, and AI-assisted research and document workflows.
Telecommunications
AI across network operations, customer care, and large data estates.
Typical focus: customer-care copilots, network operations automation, data minimization, and AI telemetry at scale.
International enterprises
Group-level AI governance across jurisdictions and subsidiaries.
Typical focus: federated governance models, regional regulatory coordination with your counsel, and consistent controls across business units.
Discuss AI in your sector.
Tell us about your industry context and the AI initiatives you're considering.