New Way Now: KPMG driving lasting value in the agentic era with Google Agentspace
*Featured in this video:* Todd Lohr, National Managing Principal, Clients & Markets
*Executive summary:* KPMG, a global organization of professional services firms, expanded its strategic AI collaboration with Google Cloud, becoming a key deployment partner for Google Agentspace to help clients build, scale, and effectively manage AI agents. As part of the move, KPMG also adopted Google Agentspace internally to enhance employee experiences while also building its own capabilities to help clients with their transformation journeys. Agentspace, a platform designed to connect employees with intelligent AI agents, allows KPMG employees to utilize Google-quality multimodal search and sophisticated pre-built or custom agents in their daily work. Agentspace creates new opportunities to build on the thousands of AI agents KPMG professionals have already created for specific customers, business models, and workflows, further advancing its ability to deliver the right AI and agentic capabilities to drive lasting value. In addition, Agentspace will play a key role in developing a platform of specialized legal agents that provide KPMG Law US professionals with AI-assisted contract review, research, and legal automation to simplify document analysis, compliance checks and contract lifecycle management.
*Challenge:* With a 130-year legacy in guiding clients through their toughest business challenges, KPMG is actively investing in capabilities and solutions that lower the barrier of entry to AI. With organizations now focusing on AI agents, KPMG was looking to support industry adoption and effectively enable agentic workflows at the enterprise level.
*Solution:* KPMG expanded its strategic AI collaboration with Google Cloud, becoming a key deployment partner for Google Agentspace to help clients build, scale, and effectively manage AI agents. The move included adopting Google Agentspace internally to help enhance employee experiences and, ultimately, learn from its own implem
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