This post is co-written with Steven Craig from Hearst.
To maintain their competitive edge, organizations are constantly seeking ways to accelerate cloud adoption, streamline processes, and drive innovation. However, Cloud Center of Excellence (CCoE) teams often can be perceived as bottlenecks to organizational transformation due to limited resources and overwhelming demand for their support.
In this post, we share how Hearst, one of the nation’s largest global, diversified information, services, and media companies, overcame these challenges by creating a self-service generative AI conversational assistant for business units seeking guidance from their CCoE. With Amazon Q Business, Hearst’s CCoE team built a solution to scale cloud best practices by providing employees across multiple business units self-service access to a centralized collection of documents and information. This freed up the CCoE to focus their time on high-value tasks by reducing repetitive requests from each business unit.
Readers will learn the key design decisions, benefits achieved, and lessons learned from Hearst’s innovative CCoE team. This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact.
Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure. The CCoE implemented AWS Organizations across a substantial number of business units. These business units then used AWS best practice guidance from the CCoE by deploying landing zones with AWS Control Tower, managing resource configuration with AWS Config, and reporting the efficacy of controls with AWS Audit Manager. As individual business units sought guidance on adhering to the AWS recommended best practices, the CCoE created written directives and enablement materials to facilitate the scaled adoption across Hearst.
The existing CCoE model had several obstacles slowing adoption by business units:
To address these challenges, Hearst’s CCoE team recognized the need to quickly create a scalable, self-service application that could empower the business units with more access to updated CCoE best practices and patterns to follow.
To enable self-service cloud governance at scale, Hearst’s CCoE team decided to use the power of generative AI with Amazon Q Business to build a conversational assistant. The following diagram shows the solution architecture:
The key steps Hearst took to implement Amazon Q Business were:
For Hearst’s CCoE team, Amazon Q Business was the quickest way to use generative AI on AWS, with minimal risk and less upfront technical complexity.
By using Amazon Q Business, Hearst’s CCoE team achieved remarkable results in empowering self-service cloud governance across the organization. The initial impact was immediate—within the first month, the CCoE team saw a 70% reduction in the volume of requests for guidance and support from the various business units. This freed up the team to focus on higher-value initiatives instead of getting bogged down in repetitive, routine requests. The following month, the number of requests for CCoE support dropped by 76%, demonstrating the power of a self-service assistant with Amazon Q Business. The benefits went beyond just reduced request volume. The CCoE team also saw a significant improvement in the consistency and quality of cloud governance practices across Hearst, enhancing the organization’s overall cloud security, compliance posture, and cloud adoption.
Cloud governance is a critical set of rules, processes, and reports that guide organizations to follow best practices across their IT estate. For Hearst, the CCoE team sets the tone and cloud governance standards that each business unit follows. The implementation of Amazon Q Business allowed Hearst’s CCoE team to scale the governance and security that support business units depend on through a generative AI assistant. By disseminating best practices and guidance across the organization, the CCoE team freed up resources to focus on strategic initiatives, while employees gained access to a self-service application, reducing the burden on the central team. If your CCoE team is looking to scale its impact and enable your workforce, consider using the power of conversational AI through services like Amazon Q Business, which can position your team as a strategic enabler of cloud transformation.
Listen to Steven Craig share how Hearst leveraged Amazon Q Business to scale the Cloud Center of Excellence
Conspiracy theories about missing votes—which are not, in fact, missing—and something being “not right” are…
Researchers have developed AI-driven mobile robots that can carry out chemical synthesis research with extraordinary…
In recent years, roboticists have introduced robotic systems that can complete missions in various environments,…
Overwhelmed by manual tasks and data overload? Streamline your business and boost revenue with the…
In real life, the machine learning model is not a standalone object that only produces…
Magnetic-One, Microsoft's AI agent orchestration framework, deploys multiple agents to solve daily tasks autonomously.Read More