Controlled AI Contour: Architecture, Security, and Quality Control
We don't deploy a 'chatbot' — we deploy a controlled operational contour with access control, logging, quality metrics, and SLA. This page explains how it works.
Discuss AI contour implementationWhat is an AI contour
An AI contour is not an LLM prompt — it's an operational system: data → model → response rules → logging → metrics → alerts. Each component is managed separately, enabling iterative quality improvement.
RBAC and access control
Roles determine who sees what data and what actions the assistant can perform. Critical for enterprise clients: personal data, finances, and compliance require granular control.
Logging and audit
Every request and response is recorded: input data, context, generated response, confidence score, response time. This enables post-mortem analysis and regular QA.
Response quality metrics
Accuracy (share of correct answers), coverage (share of questions answered), escalation rate (share escalated to human), time saved (hours saved per period).
Hallucination control
Data contour restriction: the assistant only responds based on provided documents. Response rules: if confidence is below threshold — escalate, don't answer. Regular A/B testing on a control sample.
SLO and observability
For each AI contour we set SLOs: response time <2s, accuracy >90%, availability 99.5%. Monitoring via Prometheus/Grafana with alerts on degradation.
Related Cases
FAQ
How is an AI contour different from a chatbot?
A chatbot is an interface. An AI contour is an operational system: roles, logs, metrics, alerts, SLA. The difference between a toy and a tool.
Can it be deployed in a closed environment?
Yes. We support on-premise and private cloud, including self-hosted models.
How are hallucinations controlled?
Three ways: data contour restriction (RAG), confidence threshold rules with escalation, and regular testing on a control sample.
Ready to discuss?
Leave a request — we'll audit your process, calculate ROI, and propose a pilot scenario.
Discuss AI contour implementation