Controlled workflows
Define what the assistant can answer, what details it should collect, and when a request should leave automation.
Security and deployment
Trust controls for clinics, banks, and regulated teams.
KAGE is designed around careful deployment choices, separated customer data boundaries, defined workflows, and human oversight for sensitive calls in Uzbek and Russian.
Operating principles
A careful voice AI rollout starts with boundaries.
Human oversight
Escalate sensitive, unclear, or high-risk conversations to staff instead of relying on open-ended automation.
Separated data boundaries
Keep customer, tenant, and organization-specific knowledge separated for teams that require clear operational boundaries.
Local-language support
Support Uzbek, Russian, and code-switching in environments where language accuracy affects customer trust.
Deployment control
Choose an evaluation path that matches your operating constraints.
Clinics and banks often need different deployment approaches. KAGE can be evaluated with self-hosted or on-premise requirements in mind, without exposing public website visitors to internal systems or architecture.
Self-hosted / on-premise option for sensitive environments
Deployment discussions scoped to your organization and data needs
Technical details reviewed privately during evaluation
Clear separation between marketing site and product systems
Escalation design
Automation should know when to stop.
For voice AI, trust depends on what the system is allowed to do, where information comes from, and when a trained person must take over.
Example control path
1
Define approved topics and knowledge sources
2
Collect only the details needed for the workflow
3
Escalate sensitive, unclear, or policy-bound calls
4
Review pilot behavior before expanding scope
Security review
Discuss deployment and workflow boundaries before a pilot.
Use the demo request to describe your regulated environment, language needs, deployment constraints, and human handoff requirements.