# Gemini Enterprise: Governing and Scaling the Agentic Enterprise

> In our latest market report, Gemini Enterprise: Governing and Scaling the Agentic Enterprise, completed in partnership with Google Cloud, Futurum Research examines the operational, governance, and lifecycle requirements for scaling agentic AI in the enterprise and explores how Gemini Enterprise…

- Canonical: https://trial.futurumgroup.com/research-reports/gemini-enterprise-governing-and-scaling-the-agentic-enterprise/
- Kind: Research Report
- Published: 2026-04-23T13:30:00.000Z
- Updated: 2026-04-23T15:27:36.000Z
- Authors: [Nick Patience](https://trial.futurumgroup.com/nick-patience/), [Brad Shimmin](https://trial.futurumgroup.com/brad-shimmin/)
- Practice areas: [AI Platforms](https://trial.futurumgroup.com/practice-areas/ai-platforms/), [Data Intelligence](https://trial.futurumgroup.com/practice-areas/data-intelligence-analytics-infrastructure/), [Enterprise Software](https://trial.futurumgroup.com/practice-areas/enterprise-software-digital-workflows/)
- Tags: agent platform, Agentic AI, AI, Enterprise AI, Gemini Enterprise, Google Cloud, governance, Observability
- Access: The full report, its underlying data and the analyst time behind it are available to Futurum clients. The body served here is the report’s public summary and is free to read, quote and cite with attribution.

Enterprise adoption of agentic AI is moving beyond experimentation and into operational deployment. As organizations work to scale AI agents across functions and environments, the challenge is no longer whether agents can deliver value, but how to govern, observe, and manage them responsibly in production. In this environment, the transition from pilot to production demands infrastructure that can support identity, access, policy enforcement, memory, and evaluation at enterprise scale. To move agentic AI into real-world production environments, enterprises need more than model access alone. They need a platform that can address the barriers Futurum Research identifies as most critical to scale: governance and visibility, integration and context, and observability and evaluation. The most effective approaches provide a unified governance layer, persistent memory, integration flexibility, a path from no-code to full-code development, and the ability to simulate and evaluate agent behavior before and after deployment. In our latest market brief, Gemini Enterprise: Governing and Scaling the Agentic Enterprise , completed in partnership with Google Cloud , Futurum Research examines what organizations require to move from pilot-stage agentic AI to governed, scalable production deployment. The report explores the infrastructure, governance, and lifecycle-management capabilities needed to support enterprise-ready agents, and assesses how Gemini Enterprise addresses those requirements through connected surfaces for developers, employees, and customer-facing workflows. In this report, you will learn: Why the shift from pilot to production is changing enterprise requirements for agentic AI Which barriers most often prevent organizations from scaling agents in production What capabilities define a production-grade agentic platform How Gemini Enterprise addresses governance, observability, memory, and deployment flexibility Why identity, policy, evaluation, and long-context support are foundational to enterprise agentic AI at scale If you are interested in learning more, be sure to download your copy of Gemini Enterprise: Governing and Scaling the Agentic Enterprise today.