The Challenges of AI for Information Systems
- Are your teams spending too much time searching for information?
- Do your business processes lack automation?
- Would you like to anticipate rather than just react?
Our answer: AI integrates seamlessly into your systems to enhance productivity, security, and agility.
Our Solutions Based on Proven Approaches
Intelligent Access to Information
- LLMs (GPT, Mistral, Claude) for internal chatbots & advanced search. By leveraging the knowledge within your organization, it’s possible to build virtual assistants.
- Example: create a virtual assistant to help new employees navigate and use the information system effectively, reducing training time.
- Vector databases to quickly retrieve documents, contracts, and tickets. AI can help you implement powerful information retrieval tools.
- Example: an employee asks a question in natural language and gets the right answer in just a few seconds.
Automation & AI Agents
By using intelligent agents (LangChain, AutoGPT) connected to your applications, you can automate workflows, generate reports, and trigger actions.
Example: an agent detects a server issue and automatically creates a support ticket.
Computer Vision
Some operations require image or video analysis, and these tasks can be automated using YOLO or SegFormer for image detection, classification, and segmentation.
Example: detecting elements in an image such as license plates, counting vehicles, or flagging violations.
Natural Language Processing (NLP)
One of AI’s greatest strengths lies in data analysis and situation prediction. The best approach is Forecasting (Prophet, LSTM) to anticipate levels of key indicators (e.g., sales, workloads, orders, etc.).
It is also possible to implement a recommendation system for documents, products, or services.
Security & Anomalies
You can entrust the monitoring of certain operations within your organization to AI, such as fraud detection and intrusion detection using Isolation Forest or Autoencoders. It is also possible to perform real-time analysis of system logs.
How We Work
We always start by analyzing your situation to understand your needs. Our team follows these steps:
- Audit of your information system and identification of AI use cases.
- Rapid prototyping with pre-trained models.
- Integration into your existing tools (ERP, CRM, BI…).
- Ongoing monitoring & continuous improvement through MLOps and performance tracking.