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Why ChatGPT and Claude Aren't Enough for Businesses
ChatGPT, Claude, and Mistral are excellent tools for personal use. For a business, however, they pose three structural problems that few executives recognize until it’s too late.
“Using off-the-shelf generative AI is a waste of expertise. The key is to develop custom AI agents.”
Samir Amara, CEO of IT Systèmes — LES ÉCHOS Interview , May 22, 2026
There are five structural differences between general-purpose AI and proprietary enterprise AI agents:
- Ownership of expertise: With a generic AI, your prompts feed an AI that you don’t own. With a proprietary agent, you capitalize on your history and data.
- Privacy: Consumer-grade tools may use your data for training purposes. A proprietary agent is hosted in France, is GDPR-compliant out of the box, and keeps your data completely isolated.
- Business-specific adaptation: Generic AI systems provide generic answers. A proprietary agent is trained on your unique characteristics, your rules, and your language.
- Scalability: With consumer-grade AI, you’re at the mercy of model updates. With a proprietary agent, scalability is driven by your business needs.
- Asset value: A consumer AI license does not appreciate in value. An agent you own becomes an asset of your company.
That’s the difference between renting intelligence and having it.
Our expertise in AI agents for businesses
AI agents for customer support and relations
AI agents for HR process automation
AI agents for finance and accounting
AI agents for documentary and legal research
Secure integration into your existing IT system
Development of customized AI agents
Why AI agents are transforming businesses
An AI agent is not a chatbot. It reasons, accesses your business data, handles exceptions, and improves with every interaction. The difference between it and RPA or a traditional chatbot is that it understands the context.
“AI can only do what you teach it to do. If you excel at your job, it becomes a phenomenal asset.”
Samir Amara, CEO of IT Systèmes
The results are clear for our clients: IT support response times reduced from 22 minutes to 3 minutes, technical maintenance accelerated by 45% thanks to a field agent, and 90% of appointments automated at a car dealership. In each use case, teams are able to refocus on tasks that deliver greater value.
- Reduction in operating costs of 40 to 60% for the processes concerned
- Enhancing the customer experience through instant, personalized responses
- Freeing up employees to focus on high value-added tasks
- Competitive advantage: Companies that deploy AI agents gain a 18- to 24-month head start
The 2024 Gartner report ranks agent-based AI among the top 10 technology trends that will transform businesses within the next three years. Companies that have adopted these systems are seeing productivity growth 3.5 times higher than the industry average (Stanford University, State of AI).
Why choose IT Systems for your AI agents
- Upstream data governance: Before deploying an AI agent, we organize your business data. An agent can only perform effectively if it is fed by documented processes and clean data.
- A team of developers specializing in AI: machine learning, NLP, computer vision, and complex IT integration. We are experts in GPT-4, Claude, and open-source models.
- ROI-first approach: We identify high-impact processes and roll out a proof of concept (PoC) within 4 to 6 weeks. You measure the actual gains before making a decision. Average productivity gains of 40%.
- Native IT integration: 15 years of infrastructure expertise. Our agents connect to Microsoft 365, Azure, SAP, and Salesforce via secure APIs. No need to overhaul your IT system.
- Guaranteed security and compliance: deployment on your infrastructure (private cloud or on-premises). Compliance with GDPR, NIS2, and ISO 27001. End-to-end encryption.
- Long-term support: training for your teams, knowledge transfer, ongoing support, and staff development tailored to your evolving needs.
How can you integrate an AI agent into your existing IT system? →
Your AI agent becomes a valuable asset
Beyond the immediate operational ROI, a proprietary AI agent is a valuable asset for your company. The more you use it, the more it learns about your business, and the more value it accumulates.
The source code belongs to you. The training data belongs to you. The business expertise embedded in it belongs to you. This asset is therefore transferable, assignable, and can be monetized in the context of a sale or a family succession.
In practical terms: an accounting firm whose AI system handles 80% of its cases using a single methodology will automatically be worth more than a comparable firm without proprietary AI—because the buyer is acquiring not only the clients, but also the tool that makes serving those clients cost-effective.
The competitive advantage enjoyed by early adopters is real, and the window of opportunity is narrow. In 18 to 24 months, specialized AI agents will be the industry standard—not a differentiator. Those who deploy them today are gaining a structural edge over their direct competitors.
“A company that doesn’t adopt AI today won’t disappear because of AI. It will be replaced by a company that has adopted it.”
Samir Amara, CEO of IT Systèmes — LES ÉCHOS
Start with a free audit of your business processes.
Before you commit to a project, let’s work together to determine whether an AI agent is the right solution for your needs. An IT Systems expert will map out your process, assess technical feasibility, and calculate the expected ROI. No obligation, no charge.
Audit for SMEs and mid-sized companies with a formalized business process.
Are you looking for comprehensive industry-specific software instead? Try a free V0 version of your custom software →
STEP 01
Have you identified a process that could be automated?
Customer support, HR, finance, legal... A 45-minute consultation with an expert to help you define your use case and business challenges.
STEP 02
You will receive your audit
Within 5 days, a comprehensive report: a breakdown of your process, technical feasibility, budget estimate, and 12-month ROI projection.
STEP 03
It's up to you
If the results are positive, we’ll launch a PoC in 4 to 6 weeks. If not, you can use the audit to guide your future decisions. There’s no obligation.
Free audit and identification of opportunities
Proof of Concept in real-world conditions
Development and training of the AI agent
Gradual deployment and IT integration
Continuous optimization and evolution
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FAQ AI Agents
Is my data secure?
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
What ROI can you expect from an AI agent project?
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.
→ Detailed article: What ROI can you expect from an AI agent project?
What is the difference between an AI agent and a chatbot?
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?
How can an AI agent be integrated into a complex information system?
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?
How can the security and compliance of an AI agent be guaranteed?
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?
What concrete productivity gains can be expected from AI agents?
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?
Which use case should you start with when it comes to agentic AI?
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.
How much does it cost to develop a custom AI agent?
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.
Do you need in-house AI skills to deploy agents?
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.
How long does it take to deploy an AI agent?
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
Can AI completely replace my employees?
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.