The intelligence and agent layer between enterprise systems and AI applications.
KiberFlow is designed to connect rather than replace: keep information in the systems where it belongs while creating reusable business context for AI.
Data & Connectors
Document ingestion for approved support content. Ingestion connectors and broader source synchronization are scoped to deployment requirements.
Intelligence Fabric
Document preparation, retrieval, metadata, and expert corrections. Broader knowledge modeling is scoped to customer requirements.
Agent Runtime
Models, instructions, permissions, and workflows. External tools and channel integrations are agreed separately for each deployment.
Evaluation & Analytics
Human grading, corrected answers, batch checks, and usage and model-cost reporting.
Connect the information already used by the business.
Integration scope depends on the deployment. Typical source categories can include enterprise content, CRM/ERP, support systems, databases, APIs, and communications.
Keep enterprise intelligence independent of a single model.
Select commercial or open-weight models according to quality, latency, security, cost, and deployment constraints. The business intelligence layer remains reusable as model choices evolve.
Enterprise controls
- Role and workspace boundaries
- Tenant and data separation patterns
- Source traceability and lineage
- Usage and cost visibility
- Evaluation before expanded autonomy