Valentin H.

Enterprise-Scale AI Transformation : Contribution to structuring the AI Factory of a major international group: product strategy, governance, operating model, and shared capabilities to accelerate the development of solutions and the adoption of AI across the enterprise.

AI Strategy, Decision Intelligence & Portfolio Enablement: Design of products transforming the AI initiative qualification process, from intake to strategic evaluation, to help management prioritize investments in projects with the highest business impact.

AI Product Design : Development of solutions transforming complex business challenges into high-impact AI products, combining generative AI, AI agents, orchestration technologies, and user experiences focused on value creation.

Enterprise AI Enablement & Capabilities : Contribution to defining shared platforms, frameworks, and reusable capabilities to accelerate the development of future AI products, reduce time-to-market, and ensure a scalable enterprise-wide approach.

Product Leadership & Delivery : Product Discovery, product vision, strategic workshops, requirements scoping, writing functional specifications, roadmap prioritization, and coordination with Data Science, Engineering, Infrastructure, and Cybersecurity teams up to production release.

Technologies & Expertise : Generative AI (GenAI), LLM, AI Agents, Multi-Agent Systems, Agent Orchestration, Decision Intelligence, Azure AI, Azure OpenAI, AI Governance, AI Strategy, Enterprise AI, Product Strategy, Product Management, Agile, Jira, Digital Transformation, Innovation.

Development of a custom e-learning platform with integrated AI: structuring learning paths, access control, analytics, and credit logic. Management of monetization, guest checkout, and webhooks to secure the payment → rights → access flow. Addition of an AI assistant based on content (embeddings/RAG via LangChain) with a scope limited to accessible courses.

MVP Strategy : scope definition, prioritization, roadmap, success criteria definition (activation, completion, usage).

Pathways & Product : course/module structure, progression, permissions, analytics, robust access management.

B2B Monetization : Stripe Connect (revenue sharing), guest checkout, webhooks, attribution rules, and access control.

Integrated AI : embeddings + RAG (LangChain), scope by rights, response quality, and usage safeguards.

Delivery & Execution : specs, coordination, go-live, stabilization of critical flows and edge cases.

Development of a conversational AI assistant with content generation (text & image)with a credit-based usage logic. Deployment of safeguards (multi-layer moderation, rules, monitoring) and implementation of monetization (standard payments + crypto via PSP). Continuous trade-offs between experience, security, compliance, and costs.

Scoping & Roadmap : priority definition, MVP/iteration breakdown, value/complexity trade-offs, release planning.

Product Delivery : writing specs, implementation monitoring, QA/testing, feedback loop, and continuous improvement.

Business Model : credits (consumption, packages, limits, rules), pricing, consistency with usage costs.

Payments & Compliance : checkout, webhooks, PSP management, integration of standard + crypto payments.

AI & Pipelines : text/image orchestration, quality, cost/quota management, monitoring, and stability.