⚡ AI Expert
  • LocationSousse, Sfax, Tunis & Online
  • LanguagesArabic, French, English
Skills
  • Web Development (Front-end & Back-end)
  • Mobile Development (iOS & Android)
  • Databases (SQL, NoSQL)
  • Software Architecture & Design Patterns
  • Performance & Scalability
  • Technical Leadership & Training
  • Agile Project Management (Scrum, Kanban)
  • Artificial Intelligence & Machine Learning
  • DevSecOps & CI/CD Security
AI Agents · Intelligent Automation

AI Agents, Intelligent Automation & Personal AI Assistants

I design AI agents that help companies automate their processes, raise productivity and build intelligent assistants shaped around what their users actually need.

  1. 01Your data and tools
  2. 02AI agent
  3. 03Controlled actions
  4. 04Human approval

From the need to a solution in production

As an engineer and the founder of ITGate Group, I take each project from the first need to the design, integration and evolution of the AI solution. The goal is not to add AI everywhere, but to use it where it creates measurable value, on an architecture that is secure and maintainable.

Business value

Use cases chosen for their real impact on time, quality or cost.

Feasibility

A technical and economic assessment before development, not after.

Security

Defined permissions, protected data and human approval of sensitive actions.

Maintainability

A documented, monitored solution that can keep improving.

Solutions

Five complementary offers, depending on your size and AI maturity.

AI Agents for Enterprise

Large companies, groups and organisations

  • AI agents integrated into your information systems
  • Internal assistants connected to authorised knowledge bases
  • RAG solutions that put business knowledge to work
  • Integration with ERP, CRM, Microsoft 365 and compatible APIs
  • Automation of operational processes
  • Multi-agent systems coordinating specialised tasks
  • Governance, security, access control and monitoring

AI Agents for SMEs

SMEs, firms, retailers and service companies

  • Sales agents and lead qualification
  • Customer service assistants
  • Automation of requests and administrative tasks
  • Document processing and classification
  • Report and summary generation
  • Integration with the tools you already use
  • Scalable solutions sized for SME budgets

Personal AI Assistants

Entrepreneurs, executives, managers, consultants, freelancers and individuals

  • Custom-built personal assistants
  • Task and priority organisation
  • Help with e-mail and meeting management
  • Document research and summaries
  • Personal knowledge management
  • Daily planning and productivity
  • Web and mobile apps with a built-in AI assistant
  • Connection to the calendar, mail and tools you authorise

AI Engineering & Automation

Technical teams and custom projects

  • AI agent architecture design
  • Intelligent workflow development
  • API and language model integration
  • RAG and semantic search
  • n8n automation where it fits
  • Evaluation of answer and action quality
  • Performance and cost optimisation
  • Deployment, maintenance and continuous improvement

AI Strategy & Consulting

Executive teams, business units and IT

  • Identifying where AI can be integrated
  • Business process audit
  • Technical and economic feasibility study
  • AI roadmap
  • Choosing the right technologies
  • Supporting teams through adoption
  • Performance indicators and return on investment

Example use cases

Illustrative examples of what can be built, not client references.

Executive assistant

Summaries of indicators, meeting notes and decisions to make.

HR agent

Application pre-screening and answers to frequent internal questions.

Lead qualification

Analysis, enrichment and prioritisation of inbound requests for the sales team.

Knowledge assistant

Sourced answers from authorised internal procedures and documents.

Administrative processes

Extraction, filing and routing of documents and requests.

Entrepreneur's assistant

Daily priorities, meeting preparation and follow-up reminders.

In-app assistant

A conversational feature inside an existing web or mobile product.

Multi-agent system

Specialised agents coordinated across a multi-step business process.

Delivered projectCVBot – AI career coaching agentCV optimisation, cover letters and interview preparation.View the project

A six-step approach

  1. 1

    Discovery

    Understand your goals, constraints and users.

  2. 2

    AI Strategy

    Identify and prioritise the highest-value use cases.

  3. 3

    Architecture

    Design the solution, its integrations and its access rules.

  4. 4

    Development

    Build and configure the agents, workflows and interfaces.

  5. 5

    Testing & Deployment

    Test, secure and roll out to production step by step.

  6. 6

    Optimization

    Measure results and costs, then improve the solution.

Technologies and integrations

Tools are chosen for your context, budget and security requirements.

Models and knowledge

  • LLM (OpenAI GPT, Anthropic Claude)
  • Prompt Engineering
  • RAG
  • Semantic search

Orchestration and automation

  • AI Agents & multi-agent workflows
  • n8n
  • Make
  • Zapier
  • LangChain
  • Webhooks & REST APIs

Engineering

  • Python
  • FastAPI
  • Node.js
  • NestJS
  • React
  • Angular
  • Flutter

Deployment and operations

  • Docker
  • Kubernetes
  • AWS
  • Azure
  • Google Cloud
  • CI/CD

Security and governance

No exposed keys

API keys stay on the server, never in the browser or the mobile app.

Least privilege

Each agent only reaches the data and tools its task requires.

Human approval

Sensitive operations (sending, payment, deletion) are confirmed by a person.

Protected data

Personal and confidential data handled under your rules and applicable regulations.

Traceability

Action logs and monitoring to understand and correct agent behaviour.

Realistic promises

Measurable goals rather than unlimited autonomy.

Frequently asked questions

What is the difference between a chatbot and an AI agent?

A chatbot answers questions. An AI agent can also act: look up data, call tools or trigger a workflow, within the permissions it has been given.

Is my data used to train the models?

Solutions are designed around API plans and hosting that do not train models on your data, and the agent only reaches the sources you authorise.

Can an SME afford an AI agent project?

Yes: start with one limited, measurable use case, then extend the solution based on the results.

How long does a first agent take?

It depends on the integrations and the data. The Discovery phase gives a precise timeline and budget before any development starts.

Do you work with clients outside Tunisia?

Yes. Projects and consultations run remotely or on site, in English, French or Arabic.

Let's talk about your AI agent project

Describe what you need: I will come back to you with a first analysis and the next steps.