How We Solve It
Diagnostic Insight
"The fix for hallucination is rarely a 'smarter' model, it's grounding. A bot that says 'I don't know, let me connect you to support' is more valuable than one that answers everything confidently and incorrectly."
WebWorldMaker editorial analysis
We ground the bot's answers in your actual documentation, pricing, and policies using retrieval-augmented generation, so it cites the source page instead of guessing, with human hand-off for anything outside its grounded knowledge.
Resolution Roadmap
Knowledge Audit
Identify the documentation, pricing, and policy sources the bot should be grounded in.
RAG Implementation
Connect the bot to a retrieval layer over your real content instead of open-ended generation.
Guardrails & Hand-off
Add refusal behavior and human escalation for ungrounded questions.
Success Scenarios
Illustrative examples of how this is typically resolved — not audited results from named clients.
Support Deflection with Guardrails
"A SaaS company grounded its support bot in its own help center so every answer linked back to a real article."