Support tickets your team shouldn't handle.

Veribl's AI assistant uses your product documentation — manuals, spec sheets, troubleshooting guides, and FAQ content. When a consumer scans a product QR code, they can ask questions in natural language. The AI provides product-specific answers with citations, and questions it cannot resolve can be escalated to your team. The effect on ticket volume depends on your documentation and customer questions.

The AI handles the routine questions that consume most of your support team's time: setup and installation, connectivity/pairing, basic troubleshooting, feature explanations, warranty status, care and maintenance, and specifications. It works best for factual, documentation-based questions. Complex issues, emotional concerns, or novel problems are escalated to human agents.

Traditional chatbots use decision trees and keyword matching — they can only answer questions you've pre-programmed. Veribl's AI understands natural language and generates answers from your actual product documentation. It handles question variations, follow-up questions, and can cite specific manual sections. It also knows exactly which product the consumer has (from the QR code), so every answer is product-specific.

Savings depend on your ticket volume, cost per ticket, and the share of questions customers resolve without contacting your team. Use the ROI calculator to model your own inputs. Its 50% support deflection input is an illustrative assumption, not a measured Veribl customer result.

The AI knows when it's not confident in an answer. In those cases, it offers to connect the consumer with your support team — via email, chat widget, or your preferred support channel. The escalation includes the product model, serial number, question asked, and any troubleshooting already attempted, so your agent has full context from the start.

You upload your product documentation to Veribl — user manuals (PDF), specification sheets, troubleshooting guides, and FAQ content. The AI processes this content and becomes your product expert. When documentation updates, re-upload the new version and the AI's knowledge updates immediately. No AI/ML expertise required on your end.