Slim Zghal

As a founder, I structure the operational architecture of our AI agent platform to industrialize digital performance (E-commerce, Financial Services, Business Workflows). My role is to ensure that scaling is based on total control of data and regulatory risks.

Key achievements:

Value Engineering (AEJ Framework): Creation and filing (eSoleau INPI) of AI Effort Joule, a breakthrough metric to measure the real effort and ROI of AI. I move decision-makers out of "Token" opacity to offer total financial and operational transparency.

Autonomous Agent Architecture & RAG: Development of an ecosystem of agents capable of executing complex actions (API, SQL, Web) within secure architectures, limiting hallucinations and uncontrolled commitments.

GEO Strategy (Generative Engine Optimization): Managing brand visibility in the post-SEO era, ensuring that response engines (LLMs) cite our clients as reliable reference sources.

Governance, Standardization, and Risks: Implementation of a strict deployment framework "from data to compliance," transforming AI from a "black box" into an auditable decision-support tool (AI Act ready).

Added value:

Enabling companies to achieve measurable ROI (up to 90% efficiency on certain complex tasks) by replacing time-consuming management with high-precision synthetic execution.

Global management of an International Commerce and Online Sales business. This entrepreneurial experience was the development laboratory for my current automation and AI solutions.

Key achievements:

Omnichannel Strategy & Digital Performance: Development and deployment of international sales channels, with continuous optimization of acquisition and conversion.

Operational & Logistics Architecture: End-to-end management of the value chain (sourcing, inventory, financial flows), requiring extensive automation of business processes.

Technological Innovation (Pre-Innovia): Development of internal tools to automate operations management and sales predictive analysis, laying the groundwork for Agent Excellence.

International Development: Negotiation and structuring of global commercial partnerships, integrating customs and regulatory constraints.

Added value:

Acquired a 360° view of the e-commerce business. It is this field expertise that today allows me to design "Business-Ready" AI agents capable of generating immediate ROI of 90% on complex tasks.

Management of strategic projects in Machine Learning and data architecture for the Financial Services sector.

Key achievements:

Data Engineering & Pricing (Insurance): Design of an advanced dynamic contract pricing prototype. Optimization of risk models through predictive analysis of large datasets.

Fraud Detection: Implementation of Machine Learning algorithms for real-time identification of atypical behaviors, strengthening operational security and compliance.

Decision Support: Transformation of complex data into actionable performance indicators for business departments (C-Level).

Added value:

Demonstrating the viability of predictive models in regulated environments, laying the foundation for robust and auditable AI (precursor to the AEJ methodology).