It finds what's holding your AI Agent back, drafts the fix, and ships on your approval.

“Review my existing AI Agent skills and draft improved versions that reduce handovers.”
Optimization“Review my tickets and guide me through setting up AI Agent.”
Setup“Review my current AI Agent skills and suggest improvements.”
Audit“Analyze my AI Agent performance metrics and tell me what's dragging automation down.”
Analytics“Resolve conflicts across my macros, knowledge base, and skills.”
CleanupSurfaces the fixes that move automation most.
Writes the change in your voice, grounded in real tickets. You review.
Apply updates in one click. The next ticket is handled automatically.


“First week live, our response time dropped by half. By week three, the team stopped asking me what to prioritize. Gaia just handles it.”
Gaia will read every conversation, low-CSAT thread, and churn signal to surface what your customers are actually telling you.
Gaia will surface gaps across your AI Agent and your entire helpdesk, before they cost you.
<p>Gaia is an AI coaching engine that continuously improves your AI Agent. Unlike a copilot, which helps a human complete tasks in real time, Gaia coaches the AI itself. It proactively analyzes conversations, identifies automation opportunities, recommends or creates new Skills and Actions, and helps optimize your AI Agent based on real performance. In short, a copilot helps people do the work, while Gaia helps your AI Agent do the work better over time.</p>
<p>Gaia is free during our Open Beta. You'll have full access to its coaching capabilities at no additional cost while we continue expanding its features and gathering customer feedback. Pricing after the Open Beta will be announced at a later date.</p>
<p>No.</p><p>Gaia recommends improvements and can generate Skills or other optimizations for you, but you stay in control of what gets published.</p>
<p>Gaia analyzes your AI Agent's setup and performance, including customer conversations, skills, knowledge, and available Actions, to identify where automation can be improved. It looks for recurring requests, unnecessary escalations, knowledge gaps, and opportunities to make your AI Agent more consistent, then recommends or generates improvements based on those insights.</p>