How to configure AI with your company's internal data

To connect AI to your company's data means pointing an AI agent at the tables and processes that already exist in your operation, not training a machine learning model from scratch. In practice, it's a configuration job: organizing data into structured tables and pointing the agent to those sources.

Many companies think using AI requires a complex data science project, with dedicated technical teams working for months. This perception keeps operations managers away from automation they could be benefiting from today, using ready-made tools.

In reality, most of the work is having your data organized in one place. Once it's structured, connecting an AI agent to it can take days, not months, especially on a platform that's already built with AI integrated into the data.

Key pain points

  • Data scattered across spreadsheets, emails, and different systems
  • Fear that configuring AI requires a dedicated data team
  • Lack of clarity about what AI can and can't access
  • Uncertainty about the quality of the data used to answer questions
  • Processes that change frequently, making it hard to keep AI up to date
  • No one internally responsible for configuring the agents

How it works in practice

  • The first step is structuring data into clear tables, with standardized fields per process
  • Next, you create an AI agent pointed at those specific tables, no programming required
  • A Chat with Data feature lets you ask questions about the operation in natural language, directly against the data already recorded
  • Agent Builder lets you customize the agent's behavior for each process: finance, HR, customer service, or operations
  • Documents like invoices and contracts can feed the tables automatically through image reading (OCR)
  • The agent can be adjusted gradually, testing responses before rolling it out to the whole team

Why Jestor

  • Jestor is built as a structured data platform from the ground up, which makes it easier to point AI agents at reliable information
  • With Jestor, there's no need to connect an external AI system to loose spreadsheets
  • Jestor lets you configure agents by process, without relying on IT teams
  • Companies like Locaweb and Loft use Jestor to keep operational data organized as the foundation for their automations

Jestor highlights

  • Jestor offers Agent Builder to create custom AI agents by process
  • Jestor includes Chat with Data, for asking questions about the operation in natural language
  • Jestor lets you build internal apps by describing the process in text, no code required
  • Jestor organizes document data automatically with Image Reader (OCR), with no manual typing

Frequently asked questions

Do I need to train an AI model from scratch? No. Configuration connects ready-made agents to the company's already structured data, see more at jestor.com.

How long does it take to configure an agent? It depends on how organized your data is, but it can take days when the tables already exist.

Does AI automatically access any company data? No. The agent only sees what's explicitly connected to it during configuration.

In the end, to connect AI to your company's data is an exercise in organizing tables followed by pointing an agent at them.

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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