Agentic and Generative AI-Powered Migration and Modernization Framework

SourceFuse offers an Agentic and Generative AI–powered migration and modernization framework that is fully aligned with the AWS Transform and the ARC accelerators. It provides customers with an intelligent, automated, and measurable approach to move from legacy or on-premise workloads to modern, cloud-native, or SaaS architectures on AWS.

Developed by SourceFuse, an AWS Premier Tier Partner with deep modernization and SaaS expertise, the framework seamlessly accelerates every phase — from assessment and discovery to migration, modernization, and SaaS enablement.

🔹 AWS Transform Leveraging AWS Transform for VMware, Transform for .NET, and Transform Wave Planning to orchestrate each step of the migration journey, SourceFuse automates cost modeling, dependency discovery, and modernization wave execution — helping enterprises and ISVs achieve faster time-to-value and stronger ROI on AWS.

• AWS Transform for VMware: Accelerates assessment, replication, and rehosting of VMware workloads
• AWS Transform for .NET: Simplifies modernization of .NET workloads
• AWS Transform for Wave Planning: Provides AI-driven migration sequencing and workload prioritization — fully aligned to business goals and AWS best practices.

🔹 Automation Through the ARC Suite The SourceFuse ARC Suite accelerates various phases of migration and modernization:

• ARC IaC: Infrastructure as Code templates integrated with AWS Control Tower, Service Catalog, and Landing Zone Accelerator, enabling secure, multi-account environments in days.
• ARC Mod: AI-powered application discovery
• ARCSaaS: A modular accelerator that powers traditional SaaS workloads with a single console for billing, subscriptions, feature roll outs and tenant level visibility.

Each ARC component aligns with AWS best practices for governance, security, and compliance, ensuring enterprise-grade reliability and scalability.

🔹 AI Intelligence in Action At the heart of Framework are AI toolings that can interpret data from codebases and infrastructure to drive informed decisions.

These Agentic AI models automate:

• Discovery of applications, servers, and dependencies
• Pattern recognition to determine rehost, replatform, or refactor strategies.
• Automated workload migration to cloud
• Automated application modernization
• Automated testing and validation through Generative AI–derived test cases.

This intelligent automation ensures migration accuracy, minimal downtime, and accelerated modernization without human bottlenecks.

🔹 Business Outcomes SourceFuse's Framework delivers measurable results that directly impact time, cost, and value realization:

• 50% faster migration execution compared to traditional methods.
• 30–40% TCO savings through optimized AWS service adoption and automation.
• Secure, compliant landing zones deployed in days using AWS Control Tower.
• Modernized or SaaSified workloads ready for AWS Marketplace monetization.
• Reduced manual intervention across assessment, migration, and testing phases via Agentic orchestration.

By aligning modernization goals with AWS funding frameworks such as MAP 2.0, MMP, VMP, and various credits programs, customers can offset project costs and accelerate ROI.

🔹 Ideal for

• VMware to AWS Migrations using AWS Transform for VMware
• .NET and SQL Workload Modernization using AWS Transform for .NET
• ISV and PE-backed SaaS enablement programs
• Application and data modernization for AI/ML and GenAI readiness

🔹 Why SourceFuse As a long-standing AWS Premier Tier Services Partner with multiple AWS Competencies, SourceFuse brings proven modernization experience, accelerators, and AWS-funded delivery models to each engagement.

Every engagement is backed by structured governance, sprint-based execution, and measurable deliverables, helping customers move beyond migration to true maturity on AWS.

⚡ In Summary SourceFuse's Framework isn’t just another migration toolkit — it fully combines Agentic automation, Generative AI intelligence, and AWS-native services to deliver faster outcomes, lower cost, and scalable modernization.