Enterprise AI is entering one of the most important inflection points in the history of business technology. Organizations are moving beyond using software to automate tasks, connect processes and improve decision-making. Now, AI agents are taking meaningful actions — interpreting context, initiating workflows, interacting with systems and helping shape business outcomes.
This is an extraordinary opportunity, but it’s also a leadership moment. Organizations that succeed in the AI Era will be the ones that can govern agents effectively, secure their actions, measure their value and integrate them responsibly into mission-critical operations.
Gartner® has predicted that “by 2027, 40% of enterprises will demote or decommission autonomous AI agents due to governance gaps identified only after production incidents occur.” 1
For every executive investing in AI transformation, this is a wake-up call. AI cannot scale on enthusiasm alone. It must scale on trust, control, accountability and measurement.
The AI agent control gap is becoming a boardroom issue
Enterprise AI success will not be defined by the number of agents an organization launches. It will be defined by whether those agents can be trusted, governed, secured, measured and continuously improved over time.
Across industries, AI agents are progressing from pilot to production. They’re increasingly operating across critical workflows, systems and teams where security, compliance, accountability and performance matter.
Yet many organizations still lack clear visibility into what these agents are doing, which systems they touch and whether they’re delivering measurable value. The result is a growing AI control gap — the difference between the promise of Agentic AI and the operating model required to deploy it responsibly at scale.
The stakes are significant. As AI agents become part of day-to-day operations, AI governance can no longer exist as a policy document, a compliance checklist or a review gate before deployment. It must become an operational capability embedded into how agents and AI-enabled workflows are monitored, measured and improved over time.
Without this operational foundation, scaling AI safely and with confidence becomes nearly impossible.
That’s why Rimini Street launched Rimini Govern™ for AI, a managed service designed to help organizations establish enterprise-wide AI governance, control, security and performance measurement for AI agent activity and workflows.
Rimini Govern™ for AI helps organizations scale Agentic AI adoption with confidence
For more than 20 years, we’ve supported mission-critical enterprise software operations for thousands of organizations around the world, including public sector, critical infrastructure and military clients with security-clearance requirements.
That experience is especially relevant as AI moves into production environments. Governing AI agents is not only a technology challenge but also an operational one. Organizations need partners with the discipline to protect stability, the expertise to understand how complex environments actually run and the commitment to help clients turn innovation into measurable business performance.
Rimini Govern for AI delivers a centralized control plane for AI agents, helping organizations monitor agent activity, workflows, security events, compliance status, performance metrics and cost data across the enterprise.
It ensures that AI agents perform only authorized activities, complete approved workflows, operate within security and compliance guardrails and provide the insight leaders need to measure Agentic AI ROI and business value.
Equally important, the service provides root-cause analysis and remediation support to help resolve AI agent issues quickly, minimize operational disruption and maintain stability as AI expands throughout the enterprise.
Delivered 24/7/365 through Rimini Street’s Global Command Centers by expert AI engineers, Rimini Govern for AI is designed to help organizations:
- Accelerate AI agent deployment
- Reduce operational risk
- Increase visibility into AI agent activity
- Strengthen audit capability
- Control operating costs
- Measure business value
With the combination of expert AI governance, oversight and operational support, organizations can scale AI adoption while maintaining the visibility, accountability and business focus needed to realize measurable, enterprise-wide value.
A practical operating model for enterprise AI
Turning AI ambition into business impact requires more than technology. It requires a practical operating model that connects strategy, governance, implementation and ongoing operations. That’s the role Rimini Govern for AI plays.
The service follows a three-phase approach:
- Plan: Assess AI agent goals, current-state readiness, governance priorities and roadmap needs through the Rimini AI Readiness Assessment and Rimini AI Strategy and Roadmap workshops.
- Implement: Deploy Rimini Govern for AI; discover agents across designated software, platforms and systems; configure secure access needed to govern AI agent activity and workflows; and assess the operational, financial and compliance impact of AI agents and workflows.
- Operate: Provide real-time, 24/7/365 delivery of the service through expert AI engineers located in Rimini Street’s Global Command Centers, supported by integrated system monitoring, security and integration-as-a-service capabilities.
By leveraging Rimini Street’s powerful combination of AI governance capabilities, enterprise application expertise and global managed services, organizations can move beyond isolated AI initiatives and establish a framework for scaling AI across the business with greater confidence and control.
An end-to-end vision for Agentic AI ERP
Rimini Govern for AI is also part of a broader Rimini Street vision for Agentic AI ERP. Together, Rimini Agentworks™, Rimini Agentic UX™ and Rimini Govern™ for AI give organizations an end-to-end set of services to design, deploy, govern and optimize AI agent operations across mission-critical enterprise environments.
- Rimini Agentworks helps organizations move from AI concepts to trusted production deployment by helping define agent strategies, design and build AI agents and workflows, validate interoperability, perform functional and security testing and certify operational readiness.
- Rimini Agentic UX provides an intelligent, AI-driven engagement layer deployed over existing ERP systems and releases, enabling modern user, role and persona-based experiences while automating workflows that leverage AI agents.
Combined with Rimini Govern for AI, these services create a practical path for organizations that want to embrace Agentic AI without sacrificing control, security, compliance or operational stability.
The future of AI belongs to the governed enterprise
As R “Ray” Wang of Constellation Research noted in the launch announcement, organizations moving from AI experimentation to enterprise-scale adoption need trusted visibility, governance and control to deploy AI responsibly and securely.
The next phase of AI will belong to organizations that can balance innovation with operational discipline. As AI moves deeper into mission-critical business processes, success will depend not only on what AI can do but on how effectively it’s managed at scale.
That’s why I believe enterprise AI needs more than experimentation. It needs an operating model — one that brings together governance, security, visibility, interoperability and measurable value without disrupting the systems organizations depend on every day.
Key takeaways
With Rimini Govern for AI and our growing suite of Governance, Risk and Compliance (GRC) solutions and services, our goal is to help clients confidently and securely deploy AI agents, scale AI agent operations, measure ROI and achieve outcomes that matter: reduced total operating costs, improved profitability, stronger governance and enhanced competitive advantage.
1. Gartner Press Release, “Gartner Says Applying Uniform Governance Across AI Agents Will Lead to Enterprise AI Agent Failure,” May 26, 2026. | Link
