Case Notes
This case pattern documents the ONEXUS AI assistant foundation: public KB, knowledge policy, human verification, server-side API key handling, lead routing and human escalation for formal topics.
Case Study
AI chat foundation that supports human sales follow-up.
The website needed an AI support layer without exposing secrets or making formal commitments.
Strategy: Separate public KB, policy rules, verification, provider settings and human escalation.
Execution: Build OpenAI-compatible chat endpoint, settings page, verification gate and safe disabled-state behaviour.
Solution: An AI chat foundation that can be enabled after Hostinger server-side constants are configured.
Outcome signal: safer AI prototype with governance, settings and escalation built in.
| Metric | Before | After |
|---|---|---|
| Outcome signal | Unstructured activity | Governed AI chat foundation |
Confidentiality Standard
Useful case evidence should clarify the route without exposing private client details, unapproved numbers or internal execution material.ONEXUS case publishing rule
Case Notes
This case pattern documents the ONEXUS AI assistant foundation: public KB, knowledge policy, human verification, server-side API key handling, lead routing and human escalation for formal topics.
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