Customer escalation chain driven by confidence
Not a chatbot: it measures how sure the answer is, and resolves or escalates on that basis.
What is inside
You process customer messages in a way that lets the system KNOW when it does not know. A confidently wrong answer costs more than a handed-over ticket. Message -> intent -> customer history -> sentiment -> classification -> knowledge retrieval -> draft answer -> confidence -> decision. High confidence (above 0.85) and low risk -> automatic answer. Medium (0.6-0.85) -> speciali…
- The chain
- Decision rule
- Measuring confidence
- Sentiment and escalation
- What never to do
- Learning loop
- Output
The full content (1753 characters) becomes available after purchase.
Example
Reviews
No reviews yet.
Related products
Company operating system — orchestrating multiple agentsThe central orchestrator: agent selection, ordering, conflicts, cost, approvals, learning loop.Marketing intelligence with a learning loopEvery campaign improves the next one: result, attribution, analysis, optimisation.Compliance monitoring — from rule change to actionDetects regulatory changes, finds the affected processes and produces actions with owners and deadlines.Procurement chain with supplier scoringFrom demand forecast to invoice reconciliation, with an evidence-backed supplier score.