Mars Is Rolling Out Gemini Enterprise as Its AI Operating System

Mars and Google Cloud announced an expanded strategic partnership on April 22, 2026, designating Gemini Enterprise as the primary AI operating system for Mars’ global workforce. Mars says the platform will give its Associates access to agentic capabilities, including AI assistants designed to handle complex, multi-step tasks across Petcare, Snacking, and Food & Nutrition.

This is a strong enterprise workforce story because Mars is applying AI across a large operating environment. The company produces brands such as Royal Canin, M&M’S, Ben’s Original, Pedigree, Whiskas, Snickers, and Dove, while also operating veterinary hospital networks and pet diagnostics businesses including Banfield, BluePearl, VCA, AniCura, and Antech. Mars says it has around 150,000 Associates and is an approximately $55 billion family-owned business.

The main problem Mars is trying to solve is enterprise fragmentation. Large companies usually have years of knowledge stored across disconnected systems, old documents, research records, market data, internal applications, and team-specific workflows. Mars says Gemini Enterprise will act as a unified hub where Associates can access and build AI tools that reduce friction between disconnected applications and make better use of decades of institutional knowledge.

One of the clearest use cases is unified enterprise search. Mars says Gemini Enterprise creates a single, secure entry point for information across its infrastructure. A research scientist, for example, can query decades of internal nutritional studies alongside real-time market data to identify emerging trends. Mars says this can turn months of manual research into a more streamlined process.

That matters for businesses with research, product development, supply chain, and market-facing teams. Search is often treated as a basic IT function, but enterprise search becomes valuable when it connects internal documents, market data, technical knowledge, and operating context in one place. For Mars, this could support faster work in pet nutrition, food innovation, category planning, consumer insights, and veterinary services.

Mars is also using Gemini Enterprise for growth orchestration. The company says marketing, sales, and R&D teams are beginning to use the platform to support innovation, R&D, creative briefs, and preliminary brand assets. The goal is to give external agency partners stronger, data-driven foundations for global campaigns and customer-facing category work.

This is useful because Mars operates across several consumer categories. A campaign or product idea may need input from historical sales, brand rules, nutritional research, customer data, regional preferences, packaging constraints, and retail partner requirements. An agentic assistant can help teams collect context, prepare early drafts, compare options, and route work into the right process.

The low-code and no-code side is also important. Mars says Gemini Enterprise allows Associates to create their own AI assistants tailored to specific needs. These can include factory diagnostic assistants that help technicians troubleshoot production lines and supply chain agents that help teams assess ingredient sourcing alternatives.

That is where the “AI operating system” label becomes practical. The platform is not only a place to chat with a model. Google describes Gemini Enterprise as an end-to-end system for agents that can execute complex, multi-step work processes, with access to models, a secure development framework, deployment support, and governance.

Governance matters because employee-built agents can quickly create risk if every department builds tools separately. Google says Gemini Enterprise gives IT teams a single control plane for agent permissions, identity, security, and auditing. It also provides oversight for no-code and pro-code agents, helping prevent unmanaged AI sprawl while allowing employees to build useful tools.

For Mars, this governance layer is relevant across factory operations, supply chain, R&D, brand work, and veterinary services. A factory diagnostic assistant should not behave like a general creative assistant. A supply chain sourcing agent needs different data access from a marketing brief assistant. A veterinary services knowledge assistant may need stronger controls around accuracy, privacy, and professional review.

Gemini Enterprise also includes features for daily employee work. Google says the platform includes an Agent Designer for no-code agents, long-running agents for complex business processes, an Inbox to manage agent activity, Skills for repetitive tasks, and Canvas for creating and editing documents and slides.

These features point to a larger enterprise AI shift. AI is moving from individual productivity prompts into managed systems that can search company knowledge, trigger tasks, coordinate across tools, and support long-running workflows. For Mars employees, that could mean faster research, easier campaign preparation, better internal knowledge retrieval, and more structured support for operations teams.

The rollout will continue through 2026 across Mars’ global organization. Mars says the deployment builds on a long-standing partnership with Google Cloud and supports its proprietary AI platform, Mars IQ.

For other enterprise teams, the useful lesson is specific. The strongest workforce AI deployments need shared data access, governed agent creation, clear permissions, employee-friendly interfaces, and practical workflows. Good starting points include enterprise search, research support, creative brief preparation, supply chain analysis, factory troubleshooting, SOP lookup, and internal productivity agents.

Mars’ Gemini Enterprise rollout shows how large companies are turning AI into workplace infrastructure. The value comes from giving employees secure access to company knowledge and allowing teams to build agents for real tasks across marketing, R&D, supply chain, manufacturing, petcare, food, nutrition, and veterinary services.