The Best Way to Start Using AI in Your Company's Operations

The best way to start with AI in operations is to choose a specific manual process, apply an agent or automation to that isolated process, and only then expand to other areas. Generic AI projects, without a real process behind them, rarely make it off the ground.

Many managers get stuck on this decision because they think they need a large IT project, a data team, or months of planning before seeing any results. In practice, the path tends to be simpler: identify where the team loses the most time copying data, answering repetitive messages, or manually checking spreadsheets.

This difficulty finding a starting point is why so many AI initiatives never leave the idea stage. The problem is rarely the technology available: it's the lack of a concrete process, with organized data, to start testing.

The most common mistakes when starting with AI

  • Thinking a big IT project is needed to take the first step
  • Testing AI in disconnected tools, with no link to the operation's real data
  • Not choosing a specific process as a starting point
  • Waiting months for a "perfect project" instead of testing fast
  • Leaving the decision to technology alone, without involving whoever runs the process day to day

How to take the first step, in practice

  • Choose a repetitive, visible process, such as service, approval, or registration
  • Centralize that process's data in a single table or system
  • Configure an AI agent to act directly on that data
  • Measure the result in weeks, not months
  • Only after validating, expand the same model to other processes

Why Jestor makes this first step easier

  • Jestor lets you upload an existing spreadsheet and turn it into a working app in a few minutes
  • The AI Agents are already connected to the operation's tables, with no separate integration
  • The AI App Builder creates the process by describing the flow in text, with no code
  • The more than 400 native automations remove the need for external tools in the first test

With Jestor, you can ask about the operation in natural language through Chat with Data, without waiting for a ready-made report. Image Reader reads documents and invoices automatically, with no manual typing. Companies that adopted the platform report an increase of about 35% in operational efficiency. The AI agent on WhatsApp, already available, answers customers automatically with human-in-the-loop.

Vídeo de referência: Transformando planilhas em apps. Mostra como sair de uma planilha existente para um app funcional, um dos jeitos mais simples de dar o primeiro passo com IA.

Frequently asked questions

Do I need to code to start using AI in operations? No. Tools like Jestor create agents and automations with no code, directly on the company's tables.

Where do most companies start? With the most manual and repetitive process, usually customer service, approvals, or data entry.

How long does it take to see the first result? Usually a few weeks, when the chosen process already has organized data for the agent to use.

Defining the best way to start with AI in operations is less about complex technology and more about clearly choosing which process deserves the first test inside Jestor.

Get to know Jestor

With Jestor, you can automate workflows, connect departments, and build internal systems your way, all without code and with AI support. Get to know Jestor at jestor.com and discover how to take your company's management to a new level of efficiency and integration.

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