Customer Support Agents
Most AI support answers from the help center and nothing else. Your users expect answers that know who they are.
Customer Support Agents answer messages, emails and conversations using your knowledge and each user’s context: their account, usage, billing and history with your company.
Live chat · N1 Play
Crisp · #4821
How it works
Knowledge sync
Helpdesk + SOPs
Queue by channel
What you get
- Answers on chat and email, on top of your helpdesk
- Grounded in your knowledge and each user’s history
- Copilot first, autonomous when your team is ready
- Escalation to your team with full context
- Trained and adjusted from Claude or ChatGPT
- Every conversation evaluated with Analysis
Where it’s used
“Bruno doesn’t just fix problems—he creates opportunities. That completely changes how we think about support: it’s no longer a cost center, it’s part of the revenue funnel.”
Jose Julio
Chief Customer Officer @ Metricool
86%
of ~30k monthly Metricool conversations handled by Bruno
Common questions
How is this different from a help-center chatbot?
A help-center bot answers from articles. Customer Support Agents also use each user’s context, such as account, usage, billing and past conversations, so the answer fits the person asking.
What happens when the agent cannot solve something?
It escalates to your team with the context of the conversation, so nobody has to start over.
Do we need to replace our helpdesk?
No. Customer Support Agents work on top of the helpdesk you already use.