Google has joined forces with Accenture to assist clients in the implementation of its agentic artificial intelligence platform within Google Cloud. This partnership is highlighted in a report from the Wall Street Journal dated September 8, which emphasizes the belief among firms that deploying engineers directly with clients is critical for unlocking the business potential of generative AI.
The Accenture Gemini Enterprise Business Group, a newly established unit in the consulting giant, will receive training for up to 1,000 forward-deployed engineers (FDEs) in collaboration with Google Cloud. These engineers will be placed at client sites to aid in the planning and development of AI applications using the Gemini Enterprise platform.
“There’s a need for experts who can perform these tasks for customers,” stated Google Cloud CEO Thomas Kurian in his conversation with the Wall Street Journal. This highlights a significant challenge that companies face when trying to adopt AI technologies.
A previous report pointed out that many organizations struggle with the necessary data infrastructure, system architecture, or internal expertise required to implement AI solutions independently. By embedding engineers within client operations, these gaps can be bridged, facilitating the translation of AI models into functional production systems.
This initiative reflects a broader trend in the AI sector, where companies believe that having their technology specialists work alongside client teams is essential for generating tangible returns on AI investments. Accenture CEO Julie Sweet noted that clients are eager for substantial value but often find themselves stuck. Businesses are looking for growth, increased investment potential, and real impact on their bottom line.
“We assured clients that AI could deliver these outcomes. However, they express that while they understand the potential, results aren’t materializing as anticipated, and they need assistance to realize that potential,” Sweet explained.
Kurian added that many organizations are also grappling with how AI can fundamentally alter their business operations and are struggling to navigate the accompanying changes in processes and workforce dynamics.
Moreover, PYMNTS highlighted in July that many businesses are reassessing their AI expenditures following two years of rampant investment, as organizations focused on adopting the largest AI models and maximizing usage, mistakenly equating usage with success.
According to a PYMNTS Intelligence report titled “The Enterprise AI Payback Curve: Adoption Accelerates as Returns Take Shape,” nearly all respondents from sectors like financial services, healthcare, and media indicated that AI is performing well for its intended applications and that they’ve experienced a positive return on investment over the past year. However, the majority of firms believe the most significant returns from their AI investments will be realized over a five to six-year period.
