Accenture and Google Cloud have launched the Gemini Enterprise Acceleration Program, a joint effort to help large organizations build and deploy AI agents on Gemini Enterprise.
Announced at Cloud Next ’26 in Las Vegas, the program brings together thousands of AI-skilled engineers, forward deployed engineers and industry experts from both companies, with Google DeepMind providing early access to Gemini models.
Governance and engineering capacity
The announcement is structured around delivery capacity rather than a conventional alliance label. Google and Accenture forward-deployed engineers will work on customer use cases, while Accenture will apply Faculty’s AI and decision-intelligence capabilities to use cases that require governance and human oversight.
Accenture completed its acquisition of Faculty in March, adding more than 400 AI-native professionals and Faculty’s Frontier decision intelligence product to its AI services portfolio.
Centralizing agent management and funding
The Accenture-Google Cloud program sits on top of Gemini Enterprise, which Google describes as a workplace AI platform for building, using and managing agents. Google’s product documentation says Gemini Enterprise gives organizations centralized visibility and control over agents, permissions and policies, with support for Google-made agents, partner-made agents and custom agents built by internal teams.
Google Cloud added a broader partner push around the same product stack. In a separate April 22 announcement, it committed $750 million in resources and incentives for its 120,000-member partner ecosystem, covering AI value assessments, Gemini proofs of concept, agent prototyping, deployment, upskilling, Wiz security assessments and embedded Google forward deployed engineers. The fund is available to consulting firms, systems integrators, software partners and channel partners.
The same announcement said partners would make agents available inside Gemini Enterprise. Google listed enterprise-ready agents from Adobe, Atlassian, Deloitte, Lovable, Oracle, Palo Alto Networks, Replit, S&P Global, Salesforce, ServiceNow, Workday and others, with the agents built using the Gemini Enterprise Agent Platform and discoverable through the Gemini Enterprise app.
A governed catalog for enterprise buyers
For enterprise buyers, that positions Gemini Enterprise less as a standalone AI assistant and more as a governed catalog for agents. According to Google, the Agent Gallery is the hub for discovering, using and managing agents, with categories for Google-made agents, organization-created agents, user-created agents and marketplace agents, depending on administrator settings.
That structure gives IT teams a single place to govern agents that otherwise might be built or bought across separate systems.
Specialized agents for retail and marketing
Accenture’s role is to turn that platform into industry-specific deployments. The company disclosed a catalog of hundreds of industry agents available on Google Cloud Marketplace, along with prebuilt agents for sovereign deployment.
It also highlighted two areas: an Agentic Commerce OS for retail workflows and a Generative Content OS from Accenture Song and Google Cloud for marketing content production using Gemini Enterprise, Gemini 3.1 Flash Image and Veo.
The Agentic Commerce OS covers customer engagement, merchandising, service, marketplace operations, payments, fulfillment and partner collaboration. Accenture said, citing its own consumer research, that more than 90% of frequent AI users would switch brands based on an AI agent’s recommendation.
Competition among global systems integrators
The Google-Accenture push also lands amid a wider systems-integrator buildout around enterprise AI. NTT DATA announced a multi-year AWS strategic collaboration agreement in January covering cloud modernization and agentic AI, with close to 11,000 AWS-certified experts and a target to certify nearly 10,000 more over three years.
Reply, CGI and Slalom each announced separate AWS strategic collaboration agreements in April covering AI-driven cloud transformation, U.S. public sector work and AI-first enterprise programs.