Sold by: Claranet Italia
Claranet AI Assessment is an advisory professional service designed to help organizations move from tactical AI experiments to an enterprise‑wide AI and Generative AI strategy on AWS. The assessment evaluates use cases, data readiness, architecture, security, and governance, delivering actionable outcomes and a prioritized roadmap aligned with AWS best practices.
Overview
Claranet AI Assessment is a structured, deliverable‑driven professional service that helps organizations assess their readiness to adopt and scale Artificial Intelligence (AI) and Generative AI on AWS. The engagement is designed for early‑stage AI initiatives, enabling customers to move beyond tactical experimentation toward a coherent, enterprise‑wide AI adoption strategy. Through a combination of workshops, stakeholder interviews, and technical reviews, the assessment covers use‑case discovery and prioritization, data maturity, current‑state cloud architecture, security, compliance, and organizational readiness. Claranet evaluates alignment with AWS‑native AI services and architectures, helping customers understand how to effectively leverage services such as Amazon SageMaker, Amazon Bedrock, and core AWS data and security services in line with the AWS Well‑Architected Framework. The outcome of the engagement is a set of concrete, business‑driven deliverables, including a readiness and gap analysis, a shortlist of high‑value AI and Generative AI use cases, architectural recommendations, and a prioritized roadmap. The assessment is not a proof of concept or a marketing exercise, but a comprehensive advisory engagement designed to de‑risk investment decisions, accelerate pre‑sales activities, and build a clear foundation for future AI initiatives on AWS.
Highlights
- Enterprise‑focused AI Assessment on AWS designed to shift from tactical, one‑off AI experiments to a scalable, organization‑wide AI and Generative AI strategy.
- Deliverable‑backed advisory engagement covering use‑case discovery, AI readiness, data maturity, cloud architecture, security, and governance, fully aligned with AWS best practices and the AWS Well‑Architected Framework.
- Accelerate AI adoption and pre‑sales outcomes with actionable recommendations and a prioritized roadmap that de‑risks implementation and enables confident next steps on AWS.
Details
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Deployed on AWS
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Support
Vendor support
Claranet AI Assessment is delivered as a professional service and includes expert support throughout the engagement. After purchase on AWS Marketplace, a Claranet representative will contact the customer to coordinate onboarding and schedule the kick‑off session. The service is delivered through structured workshops, stakeholder interviews, and technical reviews; no software installation or AMI/container deployment is required. Support channels
Email: info@it.clara.net Web portal: https://www.claranet.com/it/ Phone: Available upon request during the engagement
Business hours and response times Support is available during standard business hours (Monday to Friday). Initial responses to general inquiries and coordination requests are typically provided within one business day. Types of support offered
Technical support: Clarification on assessment scope, methodology, findings, and recommendations General support: Engagement coordination, scheduling, and delivery-related questions Billing support: Assistance related to AWS Marketplace procurement and private offers
Security and best practices Security and compliance are integral to the assessment. Claranet follows AWS security best practices and the AWS Well‑Architected Framework. Customers maintain full ownership and control of their AWS accounts and data. No customer data is stored or processed outside the customer’s AWS environment. Deliverables and follow-up At the end of the engagement, customers receive documented results including findings, gap analysis, recommendations, and a prioritized roadmap for AI and Generative AI adoption on AWS. Follow‑up clarification sessions may be provided to support interpretation of the delivered outputs.