The global tech leader has reduced risks, slashed costs, and delivered quality projects faster by implementing document control and process automation with AODocs
Risk of costly mistakes
Manual processes for sifting through repositories to find the right documents could cause errors, delays, and potential IP security risks. How can human errors in record management be eliminated, enabling faster project delivery?
Massive scale. Manual effort. Lost time
The Google Data Center team faced a mountain of millions of documents spread across various repositories. How can you get the correct content to the right person at the right time?
Saved millions of dollars in ROI during the construction of each data center
Eliminated risk and boosted confidence by always knowing the right document gets to the right person
Improved quality in process management and delivery of projects
Sped up the dissemination of critical IP and delivery of projects around the world
Enhanced collaboration by providing enterprise-level infrastructure for various internal teams and external vendors
“Before AODocs, it took us weeks to find the right content (manually), and we weren’t sure of the quality. Now, the process takes minutes and sometimes even seconds as it’s all done automatically - and you’re sure it’s the right taxonomy and right files every time. Right there, you have a return on investment of millions of dollars.”
Google owns and operates data centers worldwide, helping to keep the internet humming 24/7. A focus on innovation has made its data centers among the most high-performing, secure, reliable, and efficient facilities of their kind.
A JOURNEY FROM RISKY TO CONFIDENT BUSINESS STARTS
Managing and delivering some of the world’s most advanced and large-scale data centers requires fast and accurate document management and process automation.
However, Google Data Centers’ Ron Goodwin and his team faced significant hurdles. With millions of documents and numerous global vendors, their manual processes led to errors, delays, and potential security risks. Ensuring the right information reached the right people securely was a complex task. Another issue was scaling these processes to meet Google’s massive data center projects seemed daunting.
The team at Google Data Centers spent weeks manually collecting and verifying documents. This delayed projects and introduced human errors, leading to the dissemination of incorrect or outdated information.
The lack of a centralized system made it difficult to track changes, maintain consistency, and ensure compliance with security standards. The stakes were high—even a single wrong document could result in substantial financial losses or data center shutdowns.
THE AODOCS EFFECT
To address these challenges, Google Data Centers implemented AODocs, a robust document management and process automation platform with growing AI capabilities. AODocs provided a centralized repository, comprehensive metadata capabilities, and automated workflows, transforming how Google managed its data center documents and processes.
With AODocs, Google could automate the dissemination of hundreds of thousands and even millions of documents to the right people in real time, reducing weeks of work to mere seconds. The platform’s robust metadata capabilities ensured that documents were accurately categorized and easily searchable, enhancing security and compliance. AODocs also streamlined auditing, enabling Google to track documents globally in seconds and maintain consistency and quality across its data centers.
The collaboration between the Google and AODocs teams was instrumental in this transformation.
Starting with reactive support, the partnership evolved into proactive collaboration, with AODocs providing UI experts, data scientists, and engineers to help Google anticipate and meet its evolving needs.
ROI YOU CAN COUNT ON
The implementation of AODocs significantly improved Google Data Centers. Processes that previously took weeks were reduced to minutes, resulting in substantial time savings and increased efficiency.
Automating processes also prevented errors and delays, leading to multi-million dollar savings.
Moreover, AODocs helped Google ensure that the right information reached the right people, enhancing the quality of their data center projects and mitigating risks associated with manual processes.
THE NEXT PHASE
Looking ahead, Google Data Centers plans to leverage AODocs further by exploring machine learning and AI capabilities. The goal is to find information faster and create semantic, natural language-driven processes, further optimizing their operations.
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