ServiceUpdated on 14 May 2026
Fractional AI Advisory for Manufacturing & Industrial Enterprises
Founder at ccX Cloud and AI Consulting
Budapest, Hungary
About
Most European manufacturers don't need a full-time Chief AI Officer at €300-400K all-in. But they do need senior AI leadership that goes deeper than what a Big 4 advisory can provide and stays longer than what a project-based consultancy delivers.
Our Fractional AI Advisory is an embedded engagement: one day per week, ongoing, with a senior AWS + AI specialist acting as your outsourced Head of AI.
What's included
→ AI strategy and 12-18 month roadmap aligned with your business priorities → Use case prioritisation and ROI assessment → AWS architecture reviews for AI systems in development → EU AI Act compliance oversight — risk classification, governance, FRIA, audit readiness → Vendor selection (Bedrock vs SageMaker vs third-party, Mistral vs Anthropic vs Llama, etc.) → Cost optimisation and FinOps for GenAI spend → Quarterly board updates and executive briefings → Internal team coaching and architectural mentorship
Who it's for
Manufacturers and industrial enterprises (typically 200-2000 employees) that have AI on the roadmap or in early production, need senior strategic guidance, and want a partner who can both think strategically and review the actual architecture diagrams. Best for organisations whose CTO is overwhelmed and whose internal team is strong on traditional IT but new to GenAI.
Engagement model
Monthly retainer. Typically a 6-12 month minimum to allow strategic continuity. We work remotely with regular on-site days as needed, including at your plant or operations sites.
Why us
AWS 3× Professional certified + GenAI Specialty. EU-domiciled, with delivery experience across EU institutions, Big 4 firms, and Fortune 500 enterprises in regulated industries. We bring both the cloud architecture depth and the regulatory fluency that most fractional AI advisors don't have.
Best initial conversation: a 20-minute meeting to discuss your current AI maturity, the use cases on your roadmap, and whether a fractional model fits your team's working style.
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