Agentic workflows are no longer a future promise — they’re the new foundation of enterprise artificial intelligence. As autonomous systems shift from generating content to taking action, organizations are redesigning how they build, operate and scale.

This pivot is reshaping everything from infrastructure and developer tooling to team structure and business outcomes. Companies that once experimented with generative AI are now racing to deploy full-stack agentic systems capable of driving decisions and executing tasks. In a candid conversation with theCUBE’s John Furrier (pictured, left), Matt Garman (right), chief executive officer of Amazon Web Services Inc., explained how these shifts are redefining enterprise productivity — and why the next big leap in AI isn’t about smarter models but about building systems that can move.

“Agentic is one of those things that’s changing that math equation,” Garman said. “We’ve got to help them and help customers understand where they can get that value. We’re doing a ton to roll out tools and capabilities, as well as infrastructure, that help customers make sure that they can get the value out of those things.”

Furrier spoke to Garman and other industry experts at the AWS Mid-Year Leadership Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. The Leadership Summit, AWS Summit NYC, and theCUBE + NYSE Wired: AI + Cloud Leaders Media Week
events serve as a strategic “halftime report” for the AWS’ re:Invent conference in December, previewing how AWS plans to lead in agentic AI. (* Disclosure below.)

During the AWS Mid-Year Leadership Summit, analysts and experts discussed how agentic workflows are transforming enterprise AI by enabling systems to act autonomously, driving major changes across infrastructure, security, hybrid cloud, development and digital engagement.

1. Reimagining development through agentic workflows

Agentic workflows now power everything from Amazon Q Developer productivity boosts to AI-driven documentation and architecture planning. These capabilities enable 3x speed gains for builders and set a new bar for enterprise agility, according to Garman.

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2. Why metadata is becoming the new engine for AI workflows

The rise of S3 metadata tables is transforming how enterprises find and activate data for AI. By enabling faster discovery and automation, metadata is becoming the key layer powering agentic workflows and governance at scale, said Mai-Lan Tomsen Bukovec, vice president of technology, data and analytics, at AWS.

Check out theCUBE’s complete interview.

3. Security-first data platforms are powering agentic workflows

Cohesity Inc.’s integration of data protection, security and AI is paving the way for agentic workflows in hybrid and multicloud environments. With cyber resilience as a core pillar, Sanjay Poonen, CEO of Cohesity, described how the company’s AWS-optimized architecture and unified control plane give customers a secure, scalable foundation for autonomous data-driven operations.

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4. Hybrid cloud becomes a launchpad for AI enterprise transformation

Nutanix Inc. is using hybrid cloud to help enterprises migrate legacy systems and scale AI-driven applications. The need for open, secure platforms that support agentic workloads across environments is important, emphasized Tarkan Maner, chief commercial officer of Nutanix.

Don’t miss the full interview on theCUBE.

5. AI meets football: The Seattle Seahawks streamline digital storytelling

Agentic workflows are powering a new era of sports media at the Seattle Seahawks, where AI tools help creators work faster and smarter. Automation now enhances creativity and personalization at scale, shared Kenton Olson, VP of digital and emerging media at the Seattle Seahawks.

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6. Shaping the future of hybrid work with agentic AI

As AI reshapes the workplace, Colleen Aubrey, senior VP of applied AI Solutions at AWS, talks about how AWS is building a new class of agentic workflows — where humans collaborate with AI assistants to manage, orchestrate and transform daily operations.

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7. Scaling AI with smarter infrastructure

AWS is reimagining data centers as intelligent, power-optimized compute factories built to handle the surging demands of generative AI. This shift includes custom chips, faster networks and sustainable design, explained Prasad Kalyanaraman, VP of AWS infrastructure service at AWS.

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8. Generative BI is changing who gets answers — and how fast

QuickSight is transforming business intelligence by enabling business users to ask questions and get multi-visual insights instantly. Generative BI is accelerating decision-making across enterprise teams, said Jose Kunnackal, director of Amazon QuickSight at AWS.

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9. Observability becomes mission-critical in the age of agents

Search, observability and governance tools are becoming foundational to enterprise AI strategy. This is especially true as ephemeral agents proliferate, according to Nandini Ramani, VP of search, observability and cloud ops at AWS.

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10. Security innovation accelerates with agentic AI tools

AI-powered security is evolving fast, and AWS partners are at the center of it. Agentic workflows are boosting SOC productivity and helping partners tackle new AI-driven threats, said Rohan Karmarkar, director of APO technology for AWS Partner SA.

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11. Computer vision and agentic workflows are redefining retail

Just Walk Out blends computer vision and edge AI to enable agentic workflows in physical retail. Technology boosts revenue, reduces theft and simplifies operations, explained Rajiv Chopra, VP of Amazon Just Walk Out at AWS.

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12. AWS doubles down on cost-efficient agentic workflows

AWS is streamlining agentic workflows with tools such as prompt caching, model distillation and intelligent routing. These innovations cut costs and boost efficiency across enterprise applications, according to Atul Deo, director of product, AWS Bedrock at AWS.

Don’t miss the full interview on theCUBE.

13. How AWS is scaling personalized marketing with AI

Agentic workflows are redefining how AWS approaches digital engagement, enabling hyper-personalized marketing at scale. The need to meet customers where they are with data-fueled precision is important, emphasized Julia White, VP of worldwide AWS marketing at AWS.

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Here’s the complete video playlist from SiliconANGLE’s and theCUBE’s coverage of the AWS Mid-Year Leadership Summit:

Agentic workflows are redefining enterprise AI, accelerating how organizations scale automation, security and sustainability. At AWS Summit NYC, theCUBE’s Furrier and Dave Vellante gathered expert insights from AWS, CrowdStrike Inc., IBM Corp. and others on how this technology is moving from experimentation to enterprise-scale transformation.

14. AWS is accelerating production with secure, scalable agentic workflows

AWS is helping companies shift from AI experiments to production by anchoring agentic workflows in trusted runtimes and strong data foundations. Ben Schreiner, head of AI and modern data strategy at AWS, says it’s all about speed, governance and customer-driven scale.

Check out theCUBE’s complete interview.

15. CrowdStrike is redefining AI security in the cloud

CrowdStrike is transforming cybersecurity with agentic workflows that enable predictive defense and real-time automation. There are now new AI tools available through the AWS Marketplace, Daniel Bernard, chief business officer of CrowdStrike, highlighted.

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16. AWS Marketplace setting the stage for the agentic era

With over 800 launch partners, the AWS agent marketplace is marking a pivotal shift in how organizations discover and deploy agentic workflows. Chris Grusz, managing director of technology partnerships at AWS; Siva Surendira, chief executive officer of Lyzr Inc.; and Nick Otto, general manager at IBM, spotlighted how multi-agent ecosystems are replacing monolithic models to unlock scalable automation and deeper integration across cloud, SaaS and infrastructure layers.

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17. The AWS Marketplace is expanding with dedicated agent category

The AWS Marketplace now features a dedicated category for AI agents and tools, streamlining discovery, deployment and integration with modern frameworks and services. The move reflects rising demand for scalable, plug-and-play AI solutions, Matt Yanchyshyn, vice president of AWS Marketplace at AWS, shared.

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18. SageMaker is powering next-gen agentic workflows

Enterprises are shifting from experimentation to full-scale deployment, and SageMaker is emerging as the go-to platform for customizing generative AI models. It’s also playing a key role in powering advanced agentic workflows, according to Ankur Mehrotra, general manager of SageMaker AI at AWS.

Hear the full story on theCUBE.

19. AWS is empowering climate tech through cloud and AI

Startups tackling climate change are using AI and high-performance computing to accelerate solutions in energy, agriculture and beyond. This momentum is being fueled by AWS support, according to Lisbeth Kaufman, head of climate tech startups at AWS.

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20. TwelveLabs is making video truly searchable at scale

TwelveLabs Inc. is pioneering multimodal video understanding with AI models that link sight, sound and context over time — turning massive video libraries into searchable data. This unlocks new enterprise use cases, Soyoung Lee, co-founder and head of go-to-market at TwelveLabs, shared.

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21. Enterprise transformation needs a new mindset

Helping enterprises navigate generative AI isn’t just about tools — it’s about people. Tom Godden, director of enterprise strategy at AWS, emphasizes empowering leaders to embrace change with a “technology teenager” mindset.

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22. AWS is building smarter systems with AgentCore

Amazon is streamlining the agent development stack with AgentCore, a suite of six managed services designed for secure, enterprise-grade deployment. It’s a pragmatic shift toward pro-level, spec-driven tools, according to Sarbjeet Johal, founder of StackPane.

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23. Business leaders, not technologists, are driving the next AI wave

Experimentation is the secret to unlocking innovation across both public and private sectors, with generative and agentic AI enabling organization-wide transformation. Success comes from starting small, showing impact and scaling fast, according to Tom Soderstrom, enterprise strategist at AWS.

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24. Developers are serving as problem-solvers in an agentic world

As developer experience evolves, the shift from “just code” to true problem-solving is accelerating with agentic workflows and smarter tooling. Developers are embracing this transformation to engineer real-world impact, according to David Nalley, director of developer experience at AWS.

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25. AgentCore puts full-stack agent development in reach

AWS is tackling the production gap in agentic AI with AgentCore, a suite of six modular services that simplify building, deploying and scaling secure, intelligent agents. The innovation is led by Preethi CN, director of product at AWS.

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Here’s the complete video playlist from SiliconANGLE’s and theCUBE’s coverage of AWS Summit NYC:

AI infrastructure is evolving fast — and companies are racing to build platforms that scale with it. At theCUBE + NYSE Wired: AI + Cloud Leaders Media Week, theCUBE’s Furrier spoke with experts from AWS, Intel, Caylent Inc. and others about this shift.

26. Why AI platforms matter more than models

Models are advancing too quickly for businesses to rely on just one. Randall Hunt, chief technology officer of Caylent, says success lies in building flexible platforms that can adapt, orchestrate tools and evolve with the technology.

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27. Spec-driven tools are unlocking agentic workflows for developers

AWS is reshaping how developers build with agentic workflows through the launch of Kiro, a spec-driven environment designed to support co-creation with agents from prototype to production. The initiative was shared by Deepak Singh, vice president of developer agents and experiences at AWS.

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28. AWS is blending math, logic and gen AI to shape safer AI systems

AI is moving fast, but Byron Cook, vice president and distinguished scientist at AWS, is focused on something deeper — using automated reasoning and mathematical logic to build trustworthy generative systems with provable guardrails that scale. His work bridges symbolic AI with modern neural techniques, keeping systems powerful and accountable.

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29. AI partnerships are accelerating enterprise transformation

From compressed migration timelines to real-time development cycles, agentic workflows are redefining how partners deliver AI outcomes across industries. Tarkan Maner, chief commercial officer of Nutanix, and Chris Sullivan, partner sales senior leader, financial services, at AWS, highlight how customer-centric collaboration is enabling faster, more secure innovation at scale.

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30. Karin AI is building AI for real business outcomes

Karini AI LLC is cutting through the noise of fragmented tooling by helping enterprises deploy agentic workflows directly within their AWS environments. This approach accelerates real-world business automation across sectors from manufacturing to legal tech, according to Nitin Wagh, co-founder and chief executive officer of Karini AI.

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31. Synthetic data unlocks secure AI agent training

DataMasque Ltd.’s approach to creating synthetically identical datasets is helping enterprises safely develop agentic workflows without exposing real customer data, especially in regulated environments with messy legacy systems, according to co-founder and chief executive officer Grant de Leeuw.

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32. Agent-based systems are unlocking enterprise value

The rise of agentic workflows is transforming how enterprises orchestrate decisions, optimize services and monetize infrastructure across complex environments. As agents learn to manage APIs and execute in dynamic workflows, they unlock scalable value creation, according to Mark Castleman, managing director for Intel AI Cloud at Intel Corp.

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33. Agentic workflows are reshaping cloud and data strategies

The rise of agentic workflows is triggering a structural reset across cloud, data and compute layers as enterprises race to modernize their infrastructure. This shift demands new integration models, platform thinking and smarter metadata strategies, according to theCUBE Research’s Managing Director Rob Strechay.

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Here the complete video paylist from SiliconANGLE’s and theCUBE’s coverage of theCUBE + NYSE Wired: AI + Cloud Leaders Media Week event:

(* Disclosure: TheCUBE’s event coverage of the AWS Mid-Year Leadership Summit is brought to you by Cohesity and Nutanix. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE