Knowledge boundaries
External industry knowledge is distinct from tenant-specific operational information; private customer data should not become shared knowledge without authorization.
TECHNICAL ARCHITECTURE
One governed intelligence environment.
A high-level view of how Ceryvra is designed to connect information, develop decisions, enforce controls, execute approved workflows, and verify outcomes.
ARCHITECTURE OVERVIEW
A shared intelligence foundation with controlled boundaries
At a high level, Ceryvra is designed as a multi-tenant platform with identity-aware access, a governed AI gateway, tenant-isolated organizational context, and a centrally maintained external knowledge foundation. The decision layer combines evidence, expectations, dependencies, scenarios, and proposed actions. Execution is constrained by authorization and policy; independent verification and recovery mechanisms assess outcomes and handle exceptions.
Evidence and decision traceability
Recommendations should retain their source context, uncertainty, decision history, and evidence obligations.
CONTROLLED EXECUTION
How proprietary mechanisms fit together
The architecture separates deciding what should happen from permission to act, the act itself, and proof of the result. QEP governs qualified execution stages and their conditions; EFAR supports accountable recovery when a workflow cannot proceed as expected; FEER supports independent outcome verification and evidence-driven reopening when appropriate. These mechanisms should be described precisely against the engineering specification, not presented as universally deployed or independently certified before acceptance testing.
SYSTEM OVERVIEW
Seven layers. Clear boundaries.
Select each layer to learn its purpose. This is a conceptual architecture overview, not a claim that every integration is production-certified.
01Identity & tenant boundaries
Role-based permissions, organization-level separation, and constrained access.
02Authorized integrations
Connectors, ingestion, and source-level permissions for enterprise data.
03Knowledge foundation
Industry knowledge and external evidence, separated from tenant-specific organizational context.
04Decision intelligence
Contextual understanding, consequence analysis, alternatives, and simulations.
05Policy & authorization
Obligations, approvals, execution eligibility, and audit evidence.
06Governed execution & recovery
QEP-oriented controlled workflows, recovery and revalidation mechanisms.
07Independent verification & learning
FEER-related verification, evidence provenance, and validated improvement.
ENGINEERING PRINCIPLES
Designed for controlled, explainable operation
Architecture decisions emphasize least privilege, tenant isolation, evidence provenance, authorization before execution, recovery paths, and independent verification.
Separation of knowledge
Shared verified industry knowledge is kept distinct from tenant-specific information.
Policy before execution
A recommendation does not automatically authorize a write or workflow action.
Evidence-backed results
The platform distinguishes proposed, executed, and independently verified outcomes.
Integration boundaries
Connectors and supported actions must be configured, tested, and approved.
DELIVERY TRANSPARENCY
Designed, integrated, tested, and accepted are different states
Capabilities shown here describe the intended architecture. Individual connectors, automation paths, and verification controls require integration and acceptance testing before being represented as production-ready.
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