Kastro Chat

The platform combines a traditional shared inbox interface with an AI assistant trained on the company's knowledge base, enabling a support workflow where AI handles the majority of incoming queries and agents focus their attention on the subset of conversations requiring nuanced human judgment, relationship building, or authority to make exceptions.

The AI assistant's knowledge base is built from content the support team curates and maintains within the Kastro platform help articles, FAQ responses, product documentation, and response templates giving the team direct control over what the AI knows and how it responds without the opacity of automatically scraped training data.

When the AI responds to a customer inquiry, agents can see both the response and the confidence level, reviewing AI-handled conversations in a monitoring interface that makes it easy to intervene in cases where the AI's response may not fully address the customer's underlying need.

This human oversight layer maintains support quality while allowing meaningful automation of first-response volume.

Kastro Chat includes proactive chat triggers that automatically initiate conversations with website visitors based on behavioral signals time on page, pricing page visits, cart abandonment allowing support and sales teams to engage high-intent visitors with personalized outreach at the moment they are most likely to benefit from assistance.

Team performance analytics track response times, resolution rates, CSAT scores, and conversation volume by agent and channel, providing support leads with the visibility needed for effective team management and coaching.

For SaaS companies where the quality of customer support is a direct driver of retention, expansion revenue, and word-of-mouth referrals, Kastro Chat provides an integrated AI and human support environment that maintains high service standards at growing conversation volume.