When we explain AI and the infrastructure it requires to run locally, we try to keep it simple. There are 4x distinct levels or layers 0-⬜️ 1-🟥 2-🟨 3-🟩, that need to be taken care of - if you want to operate an AI infrastructure within your IT environment - Have a look at the picture and description and you will understand - very basically - why those layers are connected and why operating all layers professionally is important for the reliability of your AI tools. BLUEPRINT The blueprint is designed to offer a structured, layered approach to AI business enablement, IT support, and hardware lifecycle management, with each level providing progressively more advanced services tailored to business needs, from infrastructure to strategic AI initiatives. ➡️⬜️ LEVEL 0: Hardware and Additional Hardware-Related Services 🥱 This level deals with physical IT infrastructure and its lifecycle management: • Hardware (On-Prem/Cloud): Includes servers, storage solutions (DAS, NAS, SAN), networks (LAN, WAN, WiFi), cybersecurity, backups, and recovery. Also includes client devices like PCs, laptops, and smart devices. • Additional Hardware Services: Covers purchasing and delivery of IT equipment, hardware rollout and rollback, data center relocation, and certified data destruction. ➡️🟥 LEVEL 1: Software and Support 😀 Two key areas are outlined in this level: • Software: Covering server and client applications, subscriptions, and licenses, along with security and data protection. • Support: Including IT infrastructure analysis, hardware/software support, license management, asset management, and documentation. ➡️🟨 LEVEL 2: Value Add Services 😄 This level provides ongoing services to ensure efficient operations and compliance: • 24x7 Monitoring and Monthly Reporting, ensuring timely projections and planning. • Service Level Agreements (SLA), offering different levels of response time, such as NBD (Next Business Day) and CTR (Critical Time Response). • GDPR Compliance and data security protection.