Multichannel AI agents unify the response across different touchpoints — WhatsApp, email, and forms — into a single process, with centralized history. In Jestor, the AI Agent can be configured to act on the WhatsApp Business API (Meta), on native email, and on Forms. Why unifying channels avoids losing context? When each
AI reduces response time on WhatsApp by immediately answering common questions, with no need to wait for human availability. In Jestor, the AI Agent connected to the WhatsApp Business API (Meta) gives the first response right away, with SLA tracking the time at each stage of the conversation. Where response
The choice between a ready-made and a custom AI for companies solution depends on how specific the process is. In Jestor, ready-made templates cover common processes in just a few minutes, while Agent Builder and App Builder com IA let you customize when the process is unique to
Building a WhatsApp AI support dashboard means bringing together, in a single panel, the indicators that matter for that channel — volume, response time, automatic resolution rate. In Jestor, the support dashboard already comes connected to the WhatsApp channel and to the AI Agents configured on it. Why a WhatsApp-specific
Before choosing a WhatsApp automation with AI tool, the most important criteria are: official integration via the WhatsApp Business API (Meta), control over message templates, and support for configurable AI Agents. Jestor brings all three together on the same platform. Why choosing the right tool matters for this kind of
Automatically qualifying leads on WhatsApp with AI means letting the agent ask the first questions and classify interest level before handing off to the sales team. In Jestor, the AI Agent works over the WhatsApp Business API (Meta) and already organizes the lead inside the CRM. Why manual lead qualification
Human-in-the-loop means the human team can monitor and take over a conversation being handled by AI at any moment. In Jestor, that control is available on AI Agents connected to the WhatsApp Business API (Meta), with real-time visibility into what the agent has already answered. Why
To track an AI agent's performance on WhatsApp, the most useful indicators are response time, volume handled without human intervention, and time per conversation stage. In Jestor, that data shows up on the support dashboard, with SLA tracking each stage. Why measuring the agent's performance matters?
Setting up a WhatsApp number for support with AI requires three things: an account on the platform, a WhatsApp number, and a Facebook Business (Meta) account. In Jestor, that setup via the WhatsApp Business API (Meta) usually takes less than 5 minutes, with the AI Agent configured afterward. What'
The future of automation with AI is heading toward increasingly autonomous agents inside processes the company itself defines, with no need for technical development. In Jestor, that direction already shows up in AI Agents and Agent Builder, built on a no-code foundation. Where is business automation headed? The trend
Automating vendor support with AI starts by connecting the contact channel — usually the WhatsApp Business API (Meta) — to a structured Pedidos de Compra (Purchase Orders) process. In Jestor, an AI Agent answers common vendor questions, like order status or payment date. Why vendor support tends to be overlooked? Automation focus
AI and automation together cover different types of tasks: traditional automation handles fixed rules, and AI comes in when content needs to be interpreted. In Jestor, that means native automations handling predictable triggers, with AI Agents and BPMS covering what requires judgment. What's the difference between what automation