Artificial Intelligence
Chatbots for self-service, n8n automation with AI, GLPI plugins for tickets, RAG, document extraction and LLM integrations.
We connect LLMs to your systems for intelligent service, ticket triage, knowledge bases and AI-assisted workflows.
What is included
Generative AI applied to customer service, automation and productivity.
AI chatbots for self-service
Implementation of conversational chatbots for websites, portals and support channels, reducing ticket volume and accelerating responses.
n8n automation with AI
Intelligent n8n workflows with AI nodes: classification, summarization, text generation and LLM integration to orchestrate processes.
GLPI plugins with AI for tickets
GLPI plugins that apply AI to tickets: category suggestion, prioritization, automatic summarization and assisted triage.
RAG and knowledge bases
Assistants that respond based on internal documentation, FAQs and corporate manuals, with contextual retrieval (RAG) for accuracy.
Document extraction and analysis
OCR + AI for extracting data from contracts, reports and forms; automatic analysis and structuring for system integration.
MCPs and LLM integrations
Creation of MCPs (Model Context Protocol) and integrations with LLM APIs (OpenAI, Anthropic, local models) for custom copilots and assistants.
How we deliver
From defining the use case to integrating with your systems and operating with governance.
Discovery and use case
We map the problem, available data and expected return before choosing the approach, avoiding purposeless AI and prioritizing real productivity gains.
Integration with your systems
We connect the models to GLPI, CRM, ERP, portals and databases through APIs and connectors, so the AI acts on real operational data, not generic knowledge.
Proof of concept and validation
We deliver a measurable pilot, with quality metrics such as accuracy and response time, and fine-tune it before scaling the solution to production.
Governance, privacy and evolution
We define data policies aligned with data protection law, per-token cost control, logs and monitoring, with continuous improvement of prompts and workflows as usage evolves.
Frequently asked questions
Will AI replace my support team?
No. The goal is to expand the team's capacity: AI handles the repetitive work, such as triage, frequent answers and summaries, and routes complex cases to people with the context already organized. The result is less queueing and more time for cases that require human judgment.
Can the AI use the data and systems we already have?
Yes. We integrate the models with GLPI, CRM, ERP, knowledge bases and internal APIs, so answers use real, up-to-date information from your operation, not generic knowledge. This is done with RAG and dedicated connectors, respecting access permissions.
What about data privacy and security?
We handle data in line with data protection law: we define what can be sent to the model, apply masking when needed and can use local or private models for sensitive information. All with logs, access control and traceability of interactions.
Which models and technologies do you use?
We work with the leading LLM APIs, such as OpenAI and Anthropic, and also with open-source models running locally, plus n8n for orchestration and MCPs to connect tools. The choice depends on the cost, privacy and performance of each case.
Artificial Intelligence with sustainable architecture
We create AI solutions that integrate with your systems and deliver immediate value in customer service and productivity.