Deloitte Expands AI Alliances with Google Cloud and ServiceNow

Apr 10, 2025
Deloitte has announced an expansion of its alliances with Google Cloud and ServiceNow to enhance agentic AI capabilities, introducing over 100 turnkey AI agents.

Deloitte has announced an expansion of its alliances with Google Cloud and ServiceNow to accelerate the adoption of agentic AI in enterprises, announced in a press release. This collaboration introduces a suite of over 100 ready-to-deploy AI agents powered by Google's Gemini models and Agentspace, aimed at transforming customer interactions and enhancing employee experiences.

The partnership also focuses on the development of Agent2Agent (A2A), Google Cloud's open interoperability protocol, which facilitates communication between agents across different platforms and services. This protocol is designed to enable multi-agent ecosystems, allowing clients to exchange information more effectively across various data sources and cloud providers.

Deloitte's AI agents are tailored for a wide range of tasks across industries such as customer service, procurement, marketing, and more. Specific industry applications include contract redlining for legal services and credit loan automation for financial services. The collaboration aims to improve productivity by at least 30% depending on the use case.

The expanded alliances with Google Cloud and ServiceNow signify a broader effort by Deloitte to transform enterprise operations, leveraging advanced AI technologies to streamline processes and enhance productivity across various sectors.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.