Overview
Decades of customizations, undocumented dependencies, and shrinking pools of specialized talent have turned many enterprise mainframes into a source of technical debt rather than a competitive advantage. Organizations pay a premium in MIPS costs while struggling to release new features at the pace the business demands, and the data locked inside these systems remains difficult to use for the analytics and AI initiatives driving business transformation.
PwC helps clients reimagine what their technology stack could be through a repeatable, factory-based delivery model that combines automated dependency analysis, AI-assisted modernization, and a targeted modernization roadmap. PwC helps align an organization's vision to a cloud-first strategy that leverages SaaS and cloud-native services to phase out costly mainframes and other distributed on-premises hardware. Using services such as AWS Transform, Amazon Kiro, and AWS Mainframe Modernization, legacy workloads are modernized while helping reduce risk, accelerate delivery, and establish a foundation for continuous innovation.
Highlights
- Factory-based modernization that combines automated dependency analysis and AI-assisted code transformation to retire technical debt, reduce modernization risk, and accelerate business outcomes using services such as AWS Transform.
- Modernization governance that aligns technology transformation with business priorities through structured roadmaps, dependency analysis, and security controls while leveraging AWS-native services to modernize with confidence.
- Reduce MIPS costs and unlock mainframe data for analytics and generative AI using services such as Amazon Redshift and Amazon Bedrock while accelerating product delivery on a modern cloud platform.
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