Using AI to create smart forms means a form that fills itself in from an attached document — instead of asking someone to type every field by hand. In Jestor, this runs through the native OCR field: attach a photo or file, and the connected fields populate automatically. Long forms are
AI applied to financial approval workflows means using OCR and an AI agent to read and pre-fill invoice or expense data, while the actual approval still follows a defined alçada (approval threshold) — rule-based, not AI-guessed. In Jestor, this combination runs on top of a native Omie integration.
AI helps operations scale without hiring by absorbing the repetitive part of a process — reading, replying, tagging, moving records — that would otherwise require another person as volume grows. In Jestor, AI Agents take on that repetitive layer directly inside your existing workflows. Growth usually means more tickets, more approvals, more
Data security in AI projects means controlling exactly what an AI system can read, edit, or act on — not turning it loose on every table in the company. In Jestor, that control sits at the field, role, and action level, so an AI agent only ever touches what you explicitly
AI reduces internal support response time by cutting the two things that usually slow a request down: the wait for a human to notice it, and the manual work of drafting a reply. In Jestor, this combines AI Agents that can respond automatically with native SLA tracking that shows exactly
Training an AI agent for each department means creating a separate agent per process — support, sales, finance, HR — and feeding it that department's own documentation, so its answers actually reflect how that team works, instead of one generic bot trying to cover everything. In Jestor, this is what
An AI agent is different from a traditional chatbot mainly in what it's allowed to do: a chatbot answers questions from a fixed script, while an AI agent can read your own documentation, answer from your operational data, and take actions — moving a card, filling a field, qualifying
AI for ticket management and SLA compliance means an agent reads incoming tickets, drafts or sends a reply, updates the record, and can even move the card forward — all while the system tracks how long each step is taking. In Jestor, this combines AI Agents with native SLA tracking on
Chatting with your company's data using AI means typing a plain-language question — "how many tickets are overdue this week?" — and getting an answer pulled directly from your operational data, instead of building a report first. In Jestor, this is the Chat with Data feature: a
Building operational dashboards with AI and no coding means describing what you want to see — in plain text — and having the system generate the charts, indicators, and layout for you. In Jestor, dashboards are built on top of your existing tables, and the App Builder can generate them from a
AI reads invoices and documents automatically through OCR (optical character recognition): you attach a photo or file of the document to a record, and the system extracts the data — supplier, value, date, category — and fills the fields for you. In Jestor, this is a native feature described plainly by the
AI for HR recruitment and onboarding automation means using structured workflows and an AI agent to move candidates and new hires through each step — screening, scheduling, document collection, account setup — without HR manually chasing every task by email. In Jestor, this runs as a connected process, not a stack of