Confidence threshold, not vibes
Sonar scores every customer signal. If the score is below your configured threshold, the AI offers to find someone — it doesn't fake the answer.
A chatbot answers everything until it embarrasses you. OrcaLinq pages a person before that happens — based on confidence, policy, and customer intent.
AI overconfidence is the most common reason customers escalate to "I want to speak to a human." A semantic PBX flips the default: AI is conservative, escalation is fast, and the audit trail records why.
Sonar scores every customer signal. If the score is below your configured threshold, the AI offers to find someone — it doesn't fake the answer.
Refund language, regulatory keywords, VIP tags, and high-cart-value triggers force handoff regardless of confidence.
The routing policy ships with sensible defaults. Adjust them per intent, per channel, per business hours, or per customer segment.
"Can I talk to a human?", "Get me a manager", or sentiment that says the visitor is done with automation. Handoff fires immediately, no questions asked.
Sonar scores intent; if confidence drops below the routing threshold, the AI offers to find someone instead of guessing.
Refunds, complaints, legal, medical, account-sensitive, or VIP-tagged conversations always page a person, regardless of confidence.
High-value purchase signals or qualified prospect cues route to sales rather than support. Owner-defined.
If a knowledge lookup or live tool fails (CRM down, calendar timeout), the AI doesn't fake an answer — it hands off.
Define your own. Keyword groups, intent classes, customer attributes, channel rules, business-hours overlays.
When a person is paged, they get the context they need to reply in seconds — not a fresh conversation thread to read from scratch.
Each conversation flows through a routing policy with explicit triggers (keyword, intent, customer attribute, channel, time of day) and a confidence threshold. If any trigger fires, the AI doesn't try to answer — it pages the right human.
A short summary of the conversation, the intent classification, the customer profile (if known), the suggested response template, and the full transcript.
Yes. Agents can release a conversation back to AI when it makes sense (after answering, after a payment, after escalation resolves).
Configurable. Some teams want a clean transition message ('A teammate is joining you'), others prefer the AI/agent identity boundary to feel natural and silent.
Out-of-hours and unavailable agent flows are part of the routing policy. The AI can collect contact, propose a callback time, or accept an inbound voice note depending on the channel.
Bring a customer message that should be human and one that AI should handle. We'll show what the routing decision and handoff look like in your tenant.