Tax teams spent weeks sifting through thousands of pages. GenAI now summarizes the technical notes in hours.
A global leader in high-performance computing and semiconductor technology acting as "customer zero" to validate its own hardware and software solutions internally.
Preparing R&D tax documentation required weeks of manual effort to review thousands of pages of technical notes and identify qualifying costs....
“We showcase AI applications and provide an AI adoption model other companies can follow.”
AMD is a technology company that specializes in designing and manufacturing semiconductors, processors, and graphic cards.
Note — AMD is also the vendor behind this implementation.
AMD's Internal process automation is part of this use case:
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Tax teams spent weeks sifting through thousands of pages. GenAI now summarizes the technical notes in hours.
A global leader in high-performance computing and semiconductor technology acting as "customer zero" to validate its own hardware and software solutions internally.
Preparing R&D tax documentation required weeks of manual effort to review thousands of pages of technical notes and identify qualifying costs....
“We showcase AI applications and provide an AI adoption model other companies can follow.”
AMD is a technology company that specializes in designing and manufacturing semiconductors, processors, and graphic cards.
Note — AMD is also the vendor behind this implementation.
AMD's Internal process automation is part of this use case:
Related implementations across industries and use cases
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
15 agents were overwhelmed by 30,000 employees. Now, GenAI resolves routine tickets 24/7, escalating only sensitive cases to humans.
Manual workflows held back growth. Now, AI agents automate software provisioning and draft case notes, saving 1,500 hours monthly.
Auditors spent six hours manually preparing each review. Models now validate evidence, freeing experts to focus on analysis.
Auditors spent five days manually validating files. AI now parses the data against contracts, cutting manual effort by 90%.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.