Cloud Transformation Standard: Strategy

Our Cloud Transformation Strategy service is designed to help organizations define a clear, actionable roadmap for their cloud journey. Whether you are considering cloud adoption or optimizing your existing infrastructure, we provide expert guidance to align your strategy with business goals, ensuring performance, security, and cost-effectiveness.

Who Is This Offering For?

This offering is tailored for organizations with:

• Cloud Spend: Less than $20,000 per month on Microsoft Azure
• Managed Resources: A few to a dozen virtual machines, single databases, and limited storage
• Applications & Services: 1 to 5 business applications, typically monolithic or small-scale microservices
• Workloads: Standard business systems, APIs, and development/test environments
• Ideal for businesses looking to optimize and scale their Microsoft Azure usage while maintaining efficiency and cost control.

Stage 1: Strategy

Define a Microsoft Azure strategy based on your business goals and optimal cloud solutions. Our collaboration begins with workshops tailored to understand your unique needs. This phase results in actionable insights and a strategic roadmap for Microsoft Azure adoption or optimization, with a focus on performance, security, and cost-effectiveness.

Scope of Work:

• Strategy workshops focused on Microsoft Azure capabilities
• Identification of optimal Microsoft Azure services
• Alignment with business objectives and regulatory requirements

Results:

• Azure adoption or modernization strategy tailored to your organization
• Initial documentation to support future implementation phases

Cost & Time: $30,000 net 6 workshops, 6 hours each, delivered over 3–4 weeks

Why Choose Us?

• Microsoft Azure Expertise: Certified Azure professionals with deep project experience
• Tailored Approach: Solutions customized for your goals and industry
• Compliance & Security: Built-in support for Microsoft’s compliance and security standards
• End-to-End Support: From initial strategy through implementation and beyond