AI agents for businesses – Intelligent automation and measured ROI

Yes, security is at the heart of our developments. We deploy AI agents on your infrastructure (private cloud or on-premise) or on platforms certified as GDPR-compliant. Your data never passes through uncontrolled public servers. We apply end-to-end encryption, fine-grained access and privilege management, and compliance with ISO 27001 and NIS2 standards. Our AI agents can also be configured to automatically anonymize sensitive data.

→ Discover our expertise: Data Management and AI: automating governance and ensuring compliance

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The ROI of an AI agent depends on the automated process, but our customers see an average reduction of 40% in the time spent on targeted tasks within the first 3 months. For a helpdesk agent, expect 70% of level 1 tickets to be resolved automatically, which is equivalent to 2 to 3 FTEs freed up. For an accounting agent, expect a 60% reduction in invoice processing time. The return on investment is generally achieved in 6 to 12 months, with cumulative gains over several years. The advantage of AI agents over traditional RPA is that they continuously improve and handle increasingly complex cases without reprogramming.

These figures are consistent with the findings of the IDC report "AI-Driven Automation ROI," which estimates that organizations achieve an average ROI of 230% on their AI automation projects over a three-year period.

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→ Detailed article: What ROI can you expect from an AI agent project? 

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A traditional chatbot follows predefined scripts: if the user says "reset my password," the chatbot asks a series of fixed questions and redirects the user to a form. An AI agent, on the other hand, truly understands the request, analyzes the context (which system, which user, how urgent it is), accesses databases to check permissions, and can even perform the action directly (resetting the password in Active Directory). The AI agent also handles exceptions: if the user phrases their request differently or has a special case, the agent adapts. For a CIO, this means fewer escalations, less user frustration, and a real gain in operational efficiency.

→ Detailed article : AI agent vs. chatbot: what are the differences for businesses?

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Integration into an existing IT system is the main concern for CIOs, and this is precisely our area of expertise. We begin with a detailed architecture audit to identify the systems to be connected (ERP, CRM, HRIS, databases, business applications). The agent connects via secure REST APIs, with SSO authentication and fine-grained access rights management. We use native connectors for standard applications (Microsoft 365, Salesforce, SAP) and develop custom connectors if necessary. The agent can run in a private cloud (Azure, AWS) or on-premises, depending on your security requirements. Deployment does not require any overhaul of your IS: the agent adapts to your existing system.

→ Detailed article: How to integrate an AI agent into your existing IT system?

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Security is at the heart of our developments. We deploy AI agents on your infrastructure (private cloud or on-premise) so that your data never passes through uncontrolled public servers. End-to-end encryption, strong authentication (SSO, MFA), role and permission management based on the principle of least privilege. We strictly comply with the GDPR (anonymization of sensitive data, right to be forgotten), the NIS2 directive for critical sectors, and ISO 27001 standards. Agents can be configured to never store personal data and to track all actions (complete audit trail). We perform regular penetration tests and security audits.

→ Detailed article: How to secure an AI agent project in a company?

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Productivity gains vary depending on the automated process, but here are some benchmarks from our client projects. IT support: 70% of level 1 tickets resolved automatically, freeing up 3 FTEs for a team of 10 people. HR onboarding: 80% reduction in administrative time, saving 12 hours per new employee. Accounting processing: 60% reduction in invoice entry and validation time. Document research: 75% time savings on legal and contractual research. These gains translate into a reallocation of teams to higher value-added tasks, improved quality (fewer human errors), and accelerated critical processes (time-to-market, time-to-hire).

→ Detailed article: What productivity gains can be expected from AI agents?

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We recommend starting with a use case that has a high impact but low technical complexity, known as a "quick win." The three best entry points are:

(1) Level 1 IT support – Fast and measurable ROI, simple integration, users familiar with digital tools.

(2) Employee onboarding – well-defined process, immediate gains for HR and IT, improved employee experience.

(3) Invoice processing – high volume, repetitive task, easy to quantify ROI. The objective of the first project is twofold: to demonstrate concrete value in order to obtain stakeholder buy-in, and to build internal skills before deploying agents to more critical processes. We avoid starting with processes that are too complex or politically sensitive.

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The cost depends on the complexity of the use case, the number of IT integrations, and the level of customization required. For a simple conversational agent (level 1 support, intelligent FAQ), expect to pay between €15K and €30K for initial development. For a more complex agent with document processing and workflow orchestration (onboarding, accounting), expect to pay between €40,000 and €80,000. For a highly customized agent with machine learning on your business data (predictive analysis, intelligent recommendations), budget between €80,000 and €150,000. These budgets include: audit, development, training, testing, deployment, and training. Added to this is maintenance and upgrades (10-15% of the initial cost per year). ROI is generally achieved in 6 to 12 months thanks to productivity gains.

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No, your teams do not need any AI skills to deploy and use AI agents. We manage the entire development, training, and deployment process. For end users, the agent is used just like a colleague: via chat in Teams/Slack, or via an intuitive web interface. No technical training is required. On the IT side, we train your teams to supervise the agent (performance monitoring, exception management, knowledge base updates). For companies that want to become more autonomous, we offer a gradual transfer of skills: your teams learn how to enrich the agent, adjust business rules, and optimize performance. But this is not mandatory: we provide long-term maintenance and development.

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The timeframe varies depending on the complexity of the project. For a simple conversational agent (chatbot, helpdesk assistant), allow 4 to 6 weeks between the initial audit and production launch. For more complex projects involving document processing or the orchestration of multiple systems, allow 2 to 4 months. Our sprint-based approach allows us to deliver the first usable features within the first few weeks, then gradually enhance the agent based on your feedback.

Discover our use cases: Level 1 Helpdesk Agent - Employee Onboarding Agent

No, and that's not the goal. AI automation aims to free your employees from repetitive and time-consuming tasks so they can focus on higher value-added tasks: customer relations, strategic analysis, creativity, complex decision-making. AI excels at structured, repetitive tasks, but it remains a tool to assist humans. The winning approach combines artificial intelligence and human intelligence: AI handles the volume, while humans provide judgment and business expertise.