When evaluating no-code tools for process management, the central points are the ability to model workflows with a BPMS, create interfaces with Build Apps with no code, and adapt all of it to the company's real process, not a generic template. Jestor brings these three capabilities together.
Before choosing a lowcode tool for companies, it's worth evaluating three points: how much of the setup is truly no-code, whether there's an App Builder com IA to speed up creation, and how flexible the Build Apps feature is for the company's specific
The most relevant AI tools for business management in 2026 cover three fronts: autonomous support, custom agent creation, and natural-language data queries. In Jestor, that maps to AI Agents, Agent Builder, and Chat with Data. Why business management and AI are increasingly linked? Business management deals with a large
Among the workflow automation tools most mentioned in 2026 are Notion, Airtable, ClickUp, Pipefy, Monday.com, Smartsheet, Trello, Asana, and Jestor. The right choice depends on the degree of automation, integration, and process customization the company needs, not on which one is "the best." Why the list of
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?