Solutions
Cross-engagement intelligence with client-boundary guardrails
The Challenge
Capabilities
Compare daily AI activity against stated project plans. See what teams are actually working on in real time.
InsightsSurface reusable research, templates, and analytical frameworks across projects without exposing client data.
Knowledge GraphEngagement-scoped API keys prevent data leakage between client projects at the AI request layer.
GuardrailsTrack AI adoption patterns across teams — who's using what tools, how effectively, and where training gaps exist.
InsightsAuto-built maps of consultant specializations, project experience, and research patterns from AI usage.
Knowledge GraphIdentify when multiple engagements are independently researching the same industry, framework, or methodology.
InsightsUse Case
API keys scoped per engagement with guardrails preventing cross-client data access at the AI request layer.
Complete audit trails of AI usage by consultant and engagement for client reporting and SOW compliance.
Use Case
Deploy within your firm's infrastructure. Client deliverables and research never reach external logging services.
Content guardrails enforce data handling policies based on client confidentiality tier and engagement terms.
Compliance
API keys scoped per engagement with guardrails preventing cross-client data access at the AI request layer.
Complete audit trails of AI usage by consultant and engagement for client reporting and SOW compliance.
Deploy within your firm's infrastructure. Client deliverables and research never reach external logging services.
Content guardrails enforce data handling policies based on client confidentiality tier and engagement terms.
“We discovered three teams were independently building the same market-entry framework for different clients. Now that's a firm-wide asset.”
FAQ
Each engagement gets scoped virtual API keys with independent guardrail configurations. Content filters can detect references to other client names, project codes, or engagement-specific data. All AI interactions are isolated at the request layer.
Yes. The Insights Engine produces daily activity summaries from AI usage patterns — what topics are being researched, which tools are being used, and how work maps to project plans. This is automatic and requires no manual reporting from consultants.
The knowledge graph extracts reusable metadata — frameworks, methodologies, industry patterns — from AI interactions. Client-specific content is stripped, leaving transferable intellectual capital that can be shared across the firm.
Corveil's analytics and insights are accessible via API and exportable reports. The Plugin SDK enables custom integrations with project management, time tracking, and billing systems.