01
Business AI agents
Agents that read, decide and act in your tools (CRM, ERP, email, databases) according to precise business rules.
AEGIFLOW
· AI Agents & LLMs
Custom AI agents & LLMs, private and secure
AEGIFLOW designs AI agents and multi-agent systems that process your documents, answer your teams and execute tasks inside your tools, on private, isolated and GDPR-compliant models.
France · Spain · International
PythonLangChainLangGraphOpenAI APIAzure OpenAIMistral AIAnthropic ClaudeOllamaRAGpgvectorQdrantFastAPIPythonLangChainLangGraphOpenAI APIAzure OpenAIMistral AIAnthropic ClaudeOllamaRAGpgvectorQdrantFastAPI
Deliverables
What we build for you
02
Multi-agent systems
Orchestration of specialized agents (extraction, validation, drafting, control) to automate complex task chains.
03
Internal assistants (RAG)
An assistant connected to your documents, procedures and knowledge bases that cites its sources and respects user permissions.
04
AI document processing
Structured extraction from contracts, invoices, emails and PDFs, injected directly into your systems.
05
LLM integration via API
Secure integration of models (OpenAI, Azure OpenAI, Mistral, Claude or open source) into your existing applications.
06
Self-hosted LLMs
Open-source models deployed on-premise or on European cloud for your most sensitive data.
Use Cases
Deployment examples
A
Automatic inbound email triage
An agent classifies, summarizes and routes every email to the right team, drafts a reply and updates the CRM.
B
Contract and invoice analysis
Extraction of amounts, dates, clauses and parties, consistency checks and alerts on anomalies.
C
Support assistant & knowledge base
Your teams get sourced answers from your internal procedures in seconds.
Method
A clear 4-step method, with full visibility.
-
Scoping & use cases
Identify high-ROI tasks, available data and security constraints.
-
Measurable prototype
A first agent tested on your real data, with clear quality metrics.
-
Secure industrialization
Isolation, secrets management, logging, access control and integration with your tools.
-
Monitoring & improvement
Response monitoring, continuous evaluation and model updates.
Security by Design
Powerful AI, with no compromise on your data
An AI agent has access to your data and tools: it must be engineered as a critical component of your information system.
AEGIFLOW Standard
Security by Design- Private models or APIs configured with no retention or training on your data.
- Isolation per client, department and role (RBAC), with access logging.
- Protection against prompt injection and sensitive data leakage.
- European hosting available and documented GDPR compliance.
Tech ecosystem
Technologies and standards we master
Python
LangChain
LangGraph
OpenAI API
Azure OpenAI
Mistral AI
Anthropic Claude
Ollama
RAG
pgvector
Qdrant
FastAPI
FAQ
Frequently asked questions
What is the difference between a chatbot and an AI agent?
A chatbot answers questions. An AI agent reasons, uses tools and takes actions: reading a document, querying a database, creating a CRM record or sending an email, within defined rules and permissions.
Which language models do you use?
We pick the model based on your needs and data sensitivity: commercial models via API (OpenAI, Azure OpenAI, Mistral, Anthropic) configured with no retention, or self-hosted open-source models when data must never leave your infrastructure.
Is my data used to train the AI?
No. Our architectures prevent any reuse of your data to train third-party models. Access is isolated, encrypted and logged.
Can the agent connect to our existing tools?
Yes. Our agents integrate with your CRM, ERP, email, document management, SQL/NoSQL databases and internal APIs, with least-privilege permissions.
How do you measure an AI agent’s quality?
Each agent is evaluated on a set of real cases before going live (accuracy, escalation rate, processing time), then continuously monitored to detect drift.
A process you would like to hand over to an AI agent?
Describe it in a few lines: we will tell you what can be automated, at what security level and with what return on investment.
Complementary expertise