A major announcement was made recently by Caylent, a specialized AWS Premier Tier Services Partner who focuses on cloud modernization, software application development, and AI solutions. The company signed a multi-year Strategic Collaboration Agreement with AWS. The goal of the expanded partnership is to speed up the business transformation of customers using agentic AI, cloud modernization, and CX revolution.
The new agreement deepens Caylent’s long-standing relationship with AWS, accelerating investments across three key high-growth areas: agentic AI, next-generation managed services, and customer experience transformation powered by Amazon Connect.
Revolutionizing Customer Experience via Amazon Connect
Under the new SCA, Caylent will scale its newly established customer engagement practice, capitalizing on its recent acquisition of Pronetx a specialized customer experience transformation firm focused on Amazon Connect and AWS-native omnichannel solutions.
Pronetx brings a proven track record, having deployed more than 40,000 native agent workspace seats and managing over one million daily calls across Fortune 25 organizations, federal agencies, and public sector deployments. Caylent’s expanded Amazon Connect team now manages the entire lifecycle of customer engagement transformation, guiding organizations from legacy contact center migrations to cutting-edge Agentic CX. Caylent combines its cloud engineering capabilities and AI-based methods in this particular approach. Businesses that use Amazon Connect can have the benefit of implementing agentic customer engagement strategies that are intended to minimize average handling time, improve satisfaction levels, and continuously optimize the lifecycle..
Modernizing Cloud Operations and Managed Services
Building on a decade of managed services experience enhanced by its acquisition of Trek10, Caylent’s SCA provides dedicated funding to develop a new class of managed services and cloud operations. The initiative shifts the paradigm from traditional infrastructure monitoring and reactive incident response to proactive resolution.
In order to make this evolution possible, Caylent will grow the engineering team dedicated to managed services while developing specific expertise through the latest developments in AWS AI Services, including Amazon Bedrock AgentCore and AWS DevOps Agents. With this method, companies can rely on managed services that detect and solve problems before affecting business processes, optimize efficiency and cost parameters, and react to changes in organizational needs.
Also Read: U.S. Bank Extands AWS Partnership to Spearhead AI-Driven Digital Transformation
Transitioning Agentic AI from Concept to Enterprise Production
Enterprises across technology, financial services, and healthcare sectors including organizations like Glean and Smarsh are partnering with Caylent to build advanced agentic systems on AWS that improve operational efficiency and establish distinct market differentiation.
Whether embedding agentic capabilities directly into the software development lifecycle (SDLC) or orchestrating complex multi-agent workflows to automate business processes, this expanded strategic collaboration provides clients with expedited access to proof-of-concept frameworks and the specialized engineering resources needed to transition AI initiatives from initial design to live production in weeks.
“Building production-grade agentic systems requires deep expertise in both AI and the underlying cloud infrastructure and Caylent brings both,” said Zubin Irani, VP, Partnerships at Glean. “Their team helped us move from concept to deployment on AWS AI services at a pace that matched our ambition. As Glean helps enterprises put AI to work through secure, context-aware experiences, partners like Caylent who know how to build on AWS at speed are essential to that mission.”
“Amazon Bedrock and Amazon SageMaker gave us the building blocks to reimagine communications compliance. Caylent brought the agentic engineering expertise to help us put them to work. Together, we developed the AI SDLC frameworks and MLOps best practices that make responsible AI innovation possible at our scale,” said Kamesh Tumsi, Chief Product Officer at Smarsh. “That’s the difference between a partner who talks about AI transformation and one who actually builds it with you.”
