KalTalk

KalTalk is a unified AI platform that replaces both your support and sales teams with a single, intelligent agent. It is designed for growing businesses that want to automate customer interactions without the complexity of managing multiple tools or integrating a CRM. The core product is "Kal," an AI agent that simultaneously handles support tickets by answering from your own documentation and closes sales by monitoring live visitor intent. By dropping one snippet of code on your site, KalTalk begins resolving tickets, turning visitors into customers, and answering questions across every channel, including chat, email, and WhatsApp. The system learns continuously from your knowledge base and past conversations, ensuring all answers are grounded in your real product. A live visitor intent score tells Kal exactly who is ready to buy, allowing for proactive outreach. When a human is needed, the agent hands off the conversation with full context, eliminating the need for repetitive explanations. KalTalk is built for teams that want to evolve from reactive support to proactive sales, all managed from a single inbox with a flat, predictable price.

Unified AI Agent for Support and Sales

KalTalk replaces the need for separate support and sales tools with one agent named Kal. This single AI agent can resolve a customer's support question from your documentation while simultaneously recognizing that the same visitor is ready to buy. There is no handoff between different systems; Kal maintains full context of every interaction, allowing it to switch seamlessly between resolving a technical issue and initiating a sales conversation. This unified approach ensures that every touchpoint is productive, whether the user needs a password reset or guidance on upgrading their plan.

Knowledge Source Integration and Grounded Answers

The support agent is grounded entirely in your own documentation. You can point KalTalk at any help-center URL, upload PDFs, or link to markdown files. The system crawls, indexes, and continuously re-crawls these sources to keep its knowledge current. Every reply from the AI cites the specific source document, building customer trust and ensuring accuracy. This feature eliminates the need for manual training or scripting, as the agent learns directly from your existing materials and can handle routine tasks like refunds, password resets, and scheduling without human intervention.

Real-Time Visitor Intent Scoring for Sales

The sales agent component of KalTalk watches every visitor on your site, tracking pages visited, clicks, and return visits. It calculates a real-time intent score that updates as a visitor's behavior signals buying interest. You can set specific, no-code outreach rules based on conditions like URL matches, intent score thresholds, time on page, and number of visits. When the conditions are met, the sales agent automatically reaches out in chat with a personalized message. This allows you to engage high-intent leads at the perfect moment, turning passive browsing into active sales conversations without any manual effort.

Multi-Channel Inbox and Human Handoff

All customer interactions, whether from your website widget, email, or WhatsApp, land in a single, unified inbox. This centralization ensures your team never misses a message. When the AI agent encounters an issue it cannot resolve, it flags the conversation for a human team member with the full context of the interaction, including the customer's history and the specific problem. This handoff is seamless, preventing customers from having to repeat themselves and allowing your human team to focus on complex edge cases rather than routine inquiries.

Automating High-Volume Support Tickets

E-commerce and SaaS companies often face a daily flood of repetitive tickets like "Where is my order?" or "How do I reset my password?" KalTalk automates these requests by answering directly from your knowledge base. For example, a customer asking about an order status can receive a real-time update and a tracking link without any human involvement. The system can resolve up to 80% of these routine tickets, freeing your team to focus on more complex issues and strategic growth.

Proactive Sales Outreach to High-Intent Visitors

A visitor who has returned to your pricing page multiple times and spent significant time comparing plans is a high-intent lead. KalTalk's sales agent identifies this behavior in real-time and can automatically send a chat message offering assistance. For instance, the AI might say, "I saw you comparing the Team and Growth plans. Want a hand picking the right one?" This proactive outreach captures sales that would otherwise be lost, converting hesitant browsers into paying customers without any manual sales effort.

Unified Customer Support Across All Channels

A business using KalTalk can provide a consistent support experience whether a customer contacts them via the website chat, sends an email to [email protected], or messages them on WhatsApp. All these channels feed into the same inbox and are handled by the same AI agent. This means a customer who starts a conversation on chat and then follows up via email will not have to repeat their issue. The AI maintains the full thread, providing a seamless and professional experience across every communication channel.

Scaling Customer Operations for Small Teams

Small teams with limited headcount often struggle to balance sales and support. KalTalk acts as a virtual teammate that handles both roles simultaneously. A founder can set up the system in minutes, point it at their documentation, and let it run the queue. The AI handles the routine work, like answering "How do I get started?" and identifying potential buyers, while the human team only gets involved for high-value sales negotiations or complex technical escalations. This allows a small team to operate with the efficiency of a much larger organization.

How does KalTalk learn from my documentation?

KalTalk learns by crawling and indexing your provided sources, which can be URLs from your help center or uploaded PDFs and markdown files. It continuously re-crawls these sources to stay updated with any changes you make. When answering a customer question, the AI retrieves the most relevant information from these sources and cites the specific document in its reply, ensuring the answer is always accurate and grounded in your actual product knowledge.

Can KalTalk handle both support and sales for the same visitor?

Yes, this is the core functionality of the product. Kal, the AI agent, maintains a single context for each visitor. It can first resolve a support question, such as helping a user move their workspace to a different region. Then, if the same visitor shows high intent signals by visiting the pricing page, Kal can seamlessly switch to sales mode and initiate a conversation about upgrading. There is no handoff between different tools or agents.

What happens when the AI cannot resolve a customer's issue?

When KalTalk encounters an edge case or a question it cannot answer with confidence from its knowledge sources, it flags the conversation for your human team. The handoff includes the full context of the interaction, including the customer's history, the specific problem, and what steps the AI has already taken. This ensures your team can pick up the conversation immediately without needing the customer to repeat themselves.

How do I set up the sales agent's outreach rules?

You set up outreach rules using a simple, no-code interface that works like building a sentence. You stack conditions such as "URL matches /pricing/" AND "Intent score is at least 70" AND "Time on page is at least 30 seconds." You then specify the action, which is typically "Reach out in chat." The system then monitors all visitors and triggers the automated chat message when the conditions are met, allowing you to engage leads at the perfect moment without any coding.