From Modernization to Agentic Operations: How Caylent and AWS Are Helping Customers Move Faster with AI

At the AWS Summit New York City 2026, conversations about AI felt noticeably different than they did a year ago. The focus has shifted from experimentation to execution, with organizations asking how to securely scale AI, modernize legacy environments, and turn emerging technologies into measurable business outcomes.

In a discussion with theCUBE’s Gemma Allen, Caylent CEO Val Henderson and AWS Vice President of Partner Core Julia Chen explored how customers are navigating the rapid rise of agentic AI, why partnerships matter more than ever, and how AWS and Caylent are working together to help organizations turn AI potential into measurable business outcomes.

Customers Need Simplicity in an Increasingly Complex Landscape

The pace of AI innovation has created tremendous opportunities, but it has also introduced significant complexity.

Organizations are evaluating new models, agent frameworks, infrastructure options, and governance requirements at a speed few technology shifts have demanded before. Amid that complexity, one theme continues to emerge: customers need partners that can help them focus on outcomes rather than technology for technology's sake.

That customer-first mindset has been central to Caylent's approach as an AI-first AWS Premier Tier Services partner. Whether helping organizations migrate to AWS, modernize applications, or integrate AI into products and operations, the goal remains the same: meet customers where they are and help them move forward with confidence.

Investing in the Future of Cloud Operations

One of the announcements discussed at the Summit was the launch of Caylent Accelerate™ for Agentic Cloud Operations, a new AWS-native managed services model powered by Amazon Bedrock AgentCore.

Supported through Caylent's Strategic Collaboration Agreement with AWS, the platform is trained on 12 years of proprietary CloudOps intelligence with the latest advancements in agentic AI to transform how cloud environments are managed.

Traditionally, cloud operations teams spend significant time investigating incidents, analyzing tickets, and performing remediation tasks. By leveraging Amazon Bedrock AgentCore and AI-powered agents, Caylent is helping automate many of these workflows, enabling organizations to reduce operational overhead and accelerate issue resolution with Caylent Accelerate™ for Agentic Cloud Operations.

The opportunity extends beyond efficiency. As cloud environments become more complex, customers need operational models that can scale without requiring proportional increases in human effort. Agentic operations represent a significant step toward that future.

AI Is Accelerating Modernization Timelines

Modernization remains one of the most important prerequisites for successful AI adoption.

Many organizations continue to operate on legacy platforms that limit agility, increase costs, and create barriers to innovation. Historically, modernization projects have been lengthy undertakings, often requiring months or years to complete. AI is beginning to change that equation.

Across migration and modernization engagements, organizations are using AI-powered approaches to dramatically reduce timelines. Projects that once required six months can now be completed in weeks, while database migrations that previously stretched across a year can often be completed in a fraction of the time.

This acceleration is helping organizations address technical debt while creating the modern cloud foundations necessary to support future AI initiatives.

Why Security and Governance Matter More Than Ever

While AI adoption is accelerating, organizations are also becoming more aware of the risks associated with deploying autonomous systems. As enterprises evaluate different AI platforms and model providers, many are prioritizing solutions that provide flexibility without sacrificing control.

Amazon Bedrock continues to play an important role in that strategy. By providing access to multiple foundation models alongside capabilities such as Amazon Bedrock Guardrails, organizations can select the right model for each use case while maintaining consistent governance, security, and oversight.

For customers, this balance is critical. Innovation cannot come at the expense of security, especially as agentic systems begin taking on increasingly important business functions.

Breaking Down Organizational Silos with Amazon Quick

Another topic generating significant excitement at the Summit was Amazon Quick.

As organizations adopt more AI tools and data sources, one persistent challenge remains: information is often trapped across disconnected systems, teams, and processes. These silos slow decision-making and limit the value organizations can derive from their data.

Amazon Quick addresses this challenge by providing a natural language interface that connects information across systems and surfaces insights that would otherwise remain difficult to access. Rather than navigating multiple applications and repositories, users can interact with information conversationally and receive answers that span organizational boundaries.

The result is not just improved productivity but a more connected approach to how organizations access and use knowledge.

The Next Evolution of Managed Services

Looking ahead, both AWS and Caylent see significant opportunity in agentic managed services.

As organizations deploy more AI-powered applications and agents, managing those environments will require new levels of visibility, governance, and operational expertise. Customers will increasingly rely on partners that can combine deep cloud experience with practical AI implementation knowledge. This is where partnerships matter.

Caylent’s Cloud Operations & Managed Services is designed for this next era, where agents and AWS experts work together to continuously operate, optimize, and evolve your AWS environment. Powered by agents trained on 12 years of proprietary CloudOps intelligence, the service ensures that 100% of incidents are triaged before engineers are paged, enabling faster resolution paths and reducing operational noise. At the same time, costs are continuously optimized through proactive analysis and automation, while system insights are fed back into the operational loop so your environment becomes progressively smarter, more efficient, and more resilient over time. Reach out to us today to get started.