How AWS Agentic AI and Transform Will Shape FY26

At AWS re:Invent 2025, one message came through loud and clear: AI is moving from assistive to autonomous—and AWS is betting big on its partners to make it real.

For enterprise leaders, this isn’t just a technology shift. It’s a new blueprint for delivering value, accelerating modernization, and preparing for the AI-powered enterprise of FY26. At Ensono, we’re already integrating these announcements into how we support our clients.

Agentic AI: From Assistive to Autonomous

One of the most forward-looking themes at re:Invent was Agentic AI—autonomous agents that can reason, act, and deliver outcomes without constant human prompts.

Where traditional generative AI provides support or content, Agentic AI enables full operational automation. AWS unveiled AgentCore and episodic memory capabilities through Bedrock, giving partners tools to create memory-aware, task-driven agents.

At Ensono, we’re already exploring how to embed these agents into our managed services, from proactive remediation and workload optimization to incident handling across hybrid environments.

AWS Transform: Modernization at Scale

A standout for Ensono clients was AWS Transform—a service that now supports Windows, VMware, and Mainframe migrations with a promise of:

• 5× faster modernization
• 70% lower cost compared to traditional approaches

This makes Transform a game-changer for clients with complex legacy systems. Ensono plans to embed AWS Transform into our modernization bundles to accelerate:

• Mainframe migration with built-in governance and automation.
• Windows transformation to AWS-native architectures
• VMware lift-and-optimize strategies across virtual estates

By pairing Transform with Agentic AI, our clients can leapfrog technical debt and move straight into intelligent automation.

The New Partner Opportunity

A key takeaway: AWS isn’t just building tools—they’re building with partners.

According to AWS, partners generate 7x in services revenue for every dollar of AWS spend. That’s because clients need expertise, not just infrastructure.

Ensono is leaning into this model with a focus on:

• Agentic AI competencies to lead in this emerging category
• AWS co-sell alignment to accelerate joint opportunities
• Vertical modernization use cases that tie AI to business impact

Marketplace + Procurement: Now Frictionless

AWS also rolled out enhancements to make selling and buying easier:

• Agent Mode in AWS Marketplace streamlines provisioning of AI tools
• Express Private Offers allow tailored solutions with flexible pricing

For Ensono, this means faster deployment and easier procurement for our clients. We’re aligning our managed services and modernization bundles with these new capabilities to simplify access and reduce time-to-value.

What Ensono Is Doing Now

We’re not waiting for FY26 — we’re already activating:

• Agentic AI in Managed Services: Embedding autonomous agents to reduce toil and improve uptime
• Modernization Bundles Powered by AWS Transform: Automating migrations across Windows, Mainframe, and VMware
• AI Competency Pursuit: Building specialization to lead in the Agentic AI space
• Marketplace Acceleration: Leveraging new programs to simplify procurement and grow attach rates

What This Means for FY26

At Ensono, FY26 isn’t about selling cloud. It’s about delivering measurable business outcomes—powered by intelligent automation and deep AWS expertise.

With re:Invent 2025, AWS has given partners the roadmap to do exactly that. The future of cloud isn’t just hybrid. It’s autonomous, accelerated, and partner-led. We’re ready to lead the way.

Frequently Asked Questions:

What is Agentic AI in AWS?

Agentic AI refers to autonomous AI agents that can reason, act, and deliver outcomes with limited human input. AWS announced AgentCore and memory features to power these capabilities via Bedrock.

What is AWS Transform?

AWS Transform is a modernization service that automates the migration of workloads from legacy platforms (Mainframe, Windows, VMware) to AWS-native services, improving speed and reducing cost.