Intelligent assistants that understand, decide and act autonomously. Unlike a simple chatbot, an AI agent works without interruption on your complex tasks.
A chatbot answers questions. An AI agent understands, analyzes, decides and acts. It doesn't just interact, it works for you autonomously.
Capabilities that go far beyond simple conversation
Plans tasks, assigns resources, tracks progress and alerts on potential delays
Analyzes prospects, scores leads, schedules follow-ups and prepares commercial proposals
Diagnoses problems, proposes solutions, executes fixes and escalates if necessary
Collects data, generates reports, identifies trends and proposes optimizations
Segments audiences, personalizes messages, launches campaigns and measures performance
CV sorting, interview scheduling, automated onboarding and employee request management
We use the latest AI innovations to create truly autonomous agents
Analysis and decision-making capability based on complex reasoning models
Task execution without human intervention via API integrations and automations
Permanent improvement based on feedback and performance analysis
Works without interruption, weekends and holidays included, without fatigue
Multiple agents can collaborate to accomplish complex tasks
Configuration of objectives and KPIs specific to your business
A proven methodology for high-performing agents
We study your current workflows to identify tasks to automate and define the required capabilities for the agent.
Design of the cognitive architecture, definition of decision rules and action limits for the agent.
Training on your data, testing in controlled environment and behavior validation with your teams.
Gradual production rollout with continuous monitoring and adjustments based on real performance.
An autonomous AI agent is an intelligent system that doesn't just answer questions — it takes action. It plans, executes complex tasks, makes decisions, and interacts with your business tools autonomously.
An AI agent combines a language model (LLM) with the ability to use tools: calling APIs, querying databases, sending emails, creating documents. Unlike a chatbot that waits for a question, an AI agent can chain multiple reasoning steps to accomplish a complex mission. For example, a sales agent can qualify a lead, check calendar availability, send a personalized proposal, and follow up automatically. All without human intervention, 24/7.
An AI assistant (or agent assist) works alongside your teams: it suggests responses, prepares reports, summarizes meetings. The human stays in control and validates each action. An autonomous agent, on the other hand, executes complete end-to-end workflows according to defined rules. The choice depends on your AI maturity and the criticality of the tasks involved. We often recommend starting in assistant mode to build trust, then gradually transitioning to autonomous mode for validated processes.
AI agents transform entire processes. In sales: lead qualification, scoring, automated follow-up, and proposal generation. In customer support: resolving complex tickets that require action (refunds, order modifications, escalation). In finance: invoice reconciliation, anomaly detection, automated reporting. In HR: CV pre-screening, interview scheduling, automated onboarding. In marketing: campaign analysis, budget optimization, personalized content generation. Each agent is custom-built for your specific business logic.
Multi-agent systems represent the future of intelligent automation. Multiple specialized agents collaborate: one agent analyzes data, another drafts reports, a third plans actions. This architecture handles complex workflows that would be impossible for a single agent. We design multi-agent architectures with strict safeguards: each agent has a defined scope of action, limited token budgets, and human validation mechanisms for critical decisions.
Discover key concepts related to this solution
An AI agent goes far beyond conversation. It can analyze complex situations, make autonomous decisions and execute concrete actions. While a chatbot answers questions, an AI agent accomplishes complete tasks independently.
The goal is not to replace but to augment human capabilities. AI agents handle repetitive and time-consuming tasks, allowing your teams to focus on higher-value activities requiring creativity and human judgment.
We define strict guardrails together: action limits, validation thresholds, governance rules. Each agent has a monitoring system to track its actions in real-time and intervene if necessary.
AI agents excel at rule-based tasks, data analysis, content generation, qualification, sorting and classification. They can manage complete workflows including decision-making, communication and action execution via API.
Development depends on the complexity of tasks to automate. A simple agent can be operational quickly, while a multi-agent system with complex processes requires a more structured approach. We work in iterations to deliver value progressively.
An agent assist augments your team's capabilities: it suggests, prepares, and summarizes, but the human validates and executes. An autonomous agent carries out tasks end-to-end according to predefined rules. We recommend starting in assist mode for critical processes, then evolving toward progressive autonomy on validated tasks.
Our agents incorporate safeguards at every level: role-based action scope limits, mandatory human validation for sensitive actions (payments, deletions), complete logs of every decision, token budgets to prevent loops, and emergency stop mechanisms. Each agent is tested in a sandbox environment before production deployment.
Our agents connect to virtually any tool with an API: CRM (HubSpot, Salesforce, Pipedrive), ERP (SAP, Oracle, NetSuite), communication tools (Slack, Teams, email), databases, file systems, calendars, and specialized business tools. We develop custom connectors when needed.
Cost depends on workflow complexity, the number of integrations, and task volume. A simple agent (lead qualification, for example) starts at a few thousand euros. Complex multi-agent systems represent a larger investment but generate measurable ROI within weeks. We always offer a pilot phase to validate ROI before full deployment.
A multi-agent system orchestrates multiple specialized AI agents within a single workflow. For example: one agent collects and analyzes data, a second drafts a report, a third distributes it to the right people. This approach is more robust and performant than a single agent for complex processes involving multiple steps and systems.
Un agent IA sur mesure peut remplacer des workflows entiers de ces CRM — pour moins cher, avec votre logique métier et sans vendor lock-in.
Discover how AI agents can transform the way you work and unlock your potential.