17 February 2025

Create your AI agents in no-code with VISION

Temps de lecture : 3 minutes

Artificial intelligence is transforming the way businesses automate processes and make decisions.

With VISION, our high-performance no-code solution, you can easily create AI agents while ensuring data confidentiality and security.

Let’s discover how to leverage Smartflows and VISION AI to deploy intelligent agents.

But first, let’s talk a little about the examples of AI use cases in industry.

Examples of use of AI Agents in industry

Here are some concrete cases where VISION can revolutionize your business:

  • Document analysis: automatic extraction of information from documents, for example, mining machine documentation to facilitate maintenance of industrial equipment.
  • Automatic generation of maintenance ranges contained in the manufacturer’s documentation
  • Stock Analysis for actions
  • Support for the mobility technician to carry out their tasks safely
  • Voice entry of forms
  • Optimization of industrial processes with automatic report generation based on sensor data
  • Automation of customer support of course, with an intelligent chatbot integrated with internal data

Why create AI Agents with VISION?

To implement these use cases, solutions are needed to automate tasks, optimize processes and thus improve the user experience.

Thanks to VISION AI, it is possible to:

  • Automate complex tasks with intelligent workflows.
  • Ask an LLM (ChatGPT via Azure OpenAI Services, MistralAI) while mastering data exploitation.
  • Connect these agents to existing information systems via API.
  • Ensure data confidentiality without reuse by external AI models.

Workflows: The engine of AI Agents

The core of AI agents created with VISION is based on Smartflows, our intelligent workflow engine. These Smartflows allow:

  1. To orchestrate AI interactions: send a request to an LLM and intelligently exploit the response.
  2. To interact with databases: store, retrieve and structure information generated by AI.
  3. To trigger conditional actions: execute specific treatments based on the context or the AI’s responses.
  4. Integrate third-party tools and APIs: connect AI agents to business systems (ERP, CRM, CMMS, internal tools, etc.).

VISION AI: the key component

VISION AI is LLM agnostic and therefore allows you to use chatGPT or MistralAI.

VISION AI is fully configurable in no-code, allowing business users to easily add AI into the applications created, without the need for IT or the need to code anything!

Let’s describe the VISION AI component

VISION AI enables

  • to call an LLM model (here in the image opposite, to call the GPT4o model)
  • to do RAG (Retrieval Augmentation Generation), that is to say to use your data, or your documents to contextualize the response of the AI. With the indexes and the ‘vectorization’ of the documents, you can integrate your documentary base.
  • to trigger actions using the AI ​​response, either on external tools via their API, or even directly on application data, responses being able to be transformed into native objects in VISION.
  • to manage all model call parameters

VISION AI: Data Security and Confidentiality

One of the major challenges of generative AI in business is data protection. VISION AI ensures that data is never stored by the LLM, and queries remain private and are not used to train models.


Conclusion

With VISION, it is now possible to create powerful AI agents, capable of interacting with an LLM while integrating and securing company data. 

Thanks to Smartflows, API integration and confidentiality guarantees, VISION positions itself as the essential solution for exploiting AI in business with complete peace of mind.

Want to know more? Contact us and discover how VISION can transform the way you work with AI!