Scenarios/Customer Service

Transparent L1 Support

Trustworthy automation for customer care.

The Problem

The Trust Gap.

Customers hate hiding chatbots. Under new regulations, AI must clearly identify itself. Businesses need to deflect repetitive tickets without deceiving their users or providing wrong answers (hallucinations).

Repetitive Volume

Agents waste time answering 'Where is my order?' 50 times a day.

Transparency Laws

Must disclose AI usage clearly to the end user.

Accuracy

Chatbots guessing answers destroys brand reputation.

The Setup

RAG + Transparency Headers.

A WiredGeist agent connected to your Help Center. It is strictly prompted to only answer from the provided data. The chat widget automatically includes 'AI Assistant' badges and disclaimers to satisfy transparency laws.

Operational Value

Instant Answers, Happy Users.

Customers get instant help for simple queries. Complex issues are summarized and handed off to humans with full context.

  • Strict 'I don't know' policy to prevent lies.
  • Seamless handover to human agents.
  • Automatic ticket categorization.

Escalation Protocols

The AI knows its limits.

Sentiment Analysis

If the customer seems angry, the AI instantly hands over to a human.

Confidence Threshold

If AI is less than 90% sure, it drafts a reply for human review instead of sending.

Ticket Tagging

AI tags tickets (Bug, Billing, Feature) for the right human team.

Feedback Loop

Humans rate AI answers to improve the knowledge base.

Implementation Plan

Quick relief for support teams.

Step 1 (Day 1)

Ingest Data

  • Upload Help Center articles
  • Connect past ticket history
Step 2 (Day 3)

Test Drive

  • Internal testing
  • Refine tone
  • Verify transparency labels
Step 3 (Day 5)

Soft Launch

  • Enable for 10% of traffic
  • Monitor resolution rate
  • Full rollout