Customer support that learns how your team solves problems.
WiseUnit learns from your existing support calls, identifies recurring problems and resolutions, and builds business-specific support knowledge your team can review and control.
Support knowledge built around the way your team already works.
Observe real support conversations
Connect WiseUnit to the calls your team already handles and begin with at least 50 authorized conversations.
Extract recurring resolutions
Identify customer intents, diagnostic questions, proven resolutions and patterns for human escalation.
Review and activate
Your team corrects and approves learned procedures before WiseUnit handles suitable recurring issues.
Questions before adding AI to customer support
WiseUnit starts with observation and human review, allowing your team to introduce support automation gradually.
No. WiseUnit is designed to begin by learning from authorized support conversations your team already handles. The resulting procedures remain reviewable and controllable by your business.
Fifty calls provide an initial sample for discovering recurring customer issues and common resolution patterns. It is a starting point for review, not a guarantee that every support problem has been learned.
Unknown, sensitive or low-confidence situations can be escalated to the human support team with the customer's intent, a conversation summary and the steps already attempted.
Yes. Your team determines which procedures are approved, which issues need more testing and which situations must always remain with a person.
The goal is gradual automation of approved, recurring issues. Human support remains important for unknown problems, sensitive conversations, policy exceptions and cases that require judgment.
Turn the way your team solves problems into scalable support.
Start with your existing conversations and build an AI support agent around the knowledge your team already uses.