The Agentic Transformation
High-Velocity IT Powered by Google Workspace and JumpCloud
A Note Before You Read
This eBook is written for IT leaders who are already past the question of whether AI matters. You know it does.
You are now managing the harder question: how do you operationalise AI safely, at scale, without losing control of your environment or your team’s capacity to lead?
The answer is not a single product or a single decision. It is a governance foundation that grows alongside your capabilities.
This guide walks you through what that foundation looks like, and why it matters now.
Ask almost any IT leader what they would build if they had more hours in the week, and the answer comes quickly.
- A faster onboarding experience.
- An audit that does not consume a quarter of the year.
- A help desk that solves problems before a ticket is ever filed.
When you think about it, none of these are exceptional tasks to do.
IT leaders have wanted them for years. The reason they stay on the wish list is simple. The team is already spending its time in keeping the business running.
Every new tool adds a console to check, a new hire adds an access request to fulfil and new regulations adds evidence to gather.
The work that keeps the business running leaves almost no room for the work that moves the business forward.
Agentic IT changes that equation.
For the first time, the routine, high-volume work that fills a team’s day can be handed to AI agents that complete it reliably, at machine speed, around the clock. It is already happening inside most organizations today.
In 2026 we are past the question as to whether or not we adopt agentic IT.
The real question is whether the agents already running in your environment are governed… or if they are running in the dark. That distinction, between shadow AI and governed AI, is the difference between an agentic transformation that compounds value and one that quietly compounds risk.
This eBook shows where most organizations stand today, lays out a four-stage model for moving from shadow AI to governed AI, and shows what governed agentic IT delivers through five everyday scenarios. The division of labor stays clear throughout. Google provides the AI capability that does the work. JumpCloud provides the identity, device, and access foundation that makes that work safe at scale.
Together, we make the agentic transformation possible.
Where You Are Now: the Shadow AI Reality
AI agents are not a future consideration. According to the JumpCloud Agentic IAM Pulse Report, 72% of organizations are already running AI agents in production. That number is not a projection. It is the current state.
This is not a pilot at the edge of the business. It is woven into core operations at nearly three out of four companies. Adoption, then, is no longer the hard part. Governance is. In the same report, 92% of organizations reported at least some limit to safely scaling their use of AI agents.
This is where the distinction between shadow AI and governed AI becomes the most important frame for everything that follows.
Shadow AI is what you have when agents and AI tools are deployed without consistent governance. Individual teams adopt tools. Agents are granted access to systems without formal identity records. No single view exists across all active agents. No reliable mechanism exists to revoke access quickly if something goes wrong. The AI is working, but the controls are not keeping pace.
Governed AI is what you have when every agent is treated as an identity, every identity is registered and managed, and every action is traceable. Agents still work at speed. Teams still benefit from automation. But the governance infrastructure runs alongside the capability, not behind it.
The agents are deployed. The controls that would let teams trust them, expand them, and depend on them have not caught up. That gap shows up in ways most IT leaders will recognise:
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No single view. There is no one place to see every agent running across the business, who built it, and what it can touch.
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The access paradox. Agents are often granted broader system access than human employees, with less oversight. That combination, high access and low visibility, is a fast-moving risk surface.
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No clear owner. Most organizations have not named a leader responsible for the security of agentic and non-human identities. Accountability falls between traditional IT and security roles.
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No reliable off switch. When an agent behaves unexpectedly, few teams can stop it quickly and cleanly.
Shadow AI is not a sign that adoption went wrong. It is a sign that adoption has moved faster than governance. The fix is not less AI. It is governed by AI.
The Four Stages Taking You from Shadow AI to Governed AI
Moving from shadow AI to governed AI is not a single switch.
It is a progression, and most organizations can place themselves on it. JumpCloud’s Agentic IAM framework describes that progression in four stages:
Discover
Register
Manage
Govern
Each stage closes a specific gap and builds on the one before it.
The Two Halves of the Picture
There is a consistent division of responsibility between two platforms.
Google Workspace and Gemini Enterprise supply the mechanism. This is where agentic work happens. Google’s capability model moves through three phases: elevating individual productivity, then deploying specialized AI tools and agents, then building and scaling custom agents for your environment.
JumpCloud supplies the infrastructure. Identity, device, and access governance make that capability safe to expand. Every AI agent is an identity. It holds permissions. It accesses systems. Govern the identity and you govern the agent.
The simplest version of this frame is worth keeping close. That division of labor reflects how these platforms are actually architected. It is the reason the combination produces something neither delivers alone.
And this is why the two models fit so cleanly: each phase of Google capability needs a matching phase of JumpCloud governance beneath it.
This is not a roadmap for an ideal future. It is a practical path through the environment you already have.
Before you can govern anything, you need to know what exists.
Discover is the process of building a complete, accurate inventory of every AI agent and non-human identity operating in your environment. That includes agents IT deployed, agents individual teams built, and AI tools connected to your systems through integrations.
Most organizations that begin this process find more than they expected. The inventory is larger, and the access footprint is wider than anyone had formally tracked.
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The Google capability phase this aligns with:
Elevate individual productivity.
At this stage, your organization is using Google Workspace and Gemini Enterprise to make individuals more effective. AI is augmenting human work, summarizing documents, generating drafts, surfacing relevant information, and reducing the time individuals spend on low-value tasks. The AI footprint at this phase is relatively contained, but it is already creating identities that need to be tracked.
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What JumpCloud does here:
JumpCloud Agentic IAM provides the discovery tooling to surface the agents and non-human identities operating in your environment. The goal is a unified view, one dashboard that shows every identity, human and non-human, with the access it holds and the systems it touches.
This is the foundation.
Nothing that follows is reliable without it. When you are through this phase, you move from assumption to evidence. You know what is in your environment. You can see the full scope of your access exposure.
You can identify the gaps in ownership and the access grants that exceed what any agent’s function actually requires.
Discovery creates the inventory.
Registration formalizes it. Every agent and non-human identity gets a formal record: who owns it, what it is supposed to do, what access it holds, what policies apply to it, and what the expected lifecycle looks like.
Registration is the governance equivalent of onboarding.
Just as you would not grant a new employee system access without creating a formal identity record, you should not allow an AI agent to operate in production without one.
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The Google capability phase this aligns with:
Deploy specialized AI tools and agents.
At this stage, your organization is moving beyond individual productivity into purpose-built agents and tools designed for specific workflows. Agents are handling more consequential tasks, connecting to more systems, and operating with more autonomy. The identity footprint grows significantly at this phase, and the need for formal registration becomes pressing.
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What JumpCloud does here:
JumpCloud Agentic IAM extends the same identity governance model you apply to human workforce members to every non-human and agentic identity in your environment. Each agent gets a record. Each record includes the access grants that agent holds, the policies that govern its behaviour, and the owner accountable for it.
Google decides what the agent can do. JumpCloud decides what the agent is allowed to do, and proves it afterward.
Every agent in your environment has a formal identity record. Every identity has an owner. The question “who is responsible for this agent?” has a clear, documented answer. Your access governance framework now covers non-human identities as systematically as it covers your workforce
Registration creates the records.
Management keeps them current. Agents change. Their scope expands. Their access needs shift as their workflows evolve. Owners change roles or leave the organization. And the policies that governed an agent at launch may no longer reflect what that agent actually does.
Manage is the operational layer: ongoing oversight of every registered agent, automated alerts when behavior falls outside defined parameters, and regular access reviews that keep permissions scoped correctly.
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The Google capability phase this aligns with:
Build and scale custom agents.
As your organization begins building custom agents tailored to your specific workflows and systems, the operational complexity of managing the agent population increases. Agents are more capable, more deeply integrated, and more consequential. The management layer becomes critical.
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What JumpCloud does here:
JumpCloud Agentic IAM provides automated lifecycle management for agent identities. Access grants are reviewed on a defined schedule.
Policy violations trigger alerts. When an agent’s owner changes, the governance record updates. When an agent’s scope shifts, the access profile is updated to match.
This is where the kill switch becomes reliable. Because every agent is registered and managed through a unified platform, revoking access is a controlled, auditable action, not an emergency improvisation. Over time your governance framework becomes active, not static. Agents are monitored. Access is reviewed and right-sized over time.
Your risk surface shrinks because overprovisioned access is caught and corrected through a routine process, not through an incident response.
Govern is the peak of maturity. It provides unified visibility, automated lifecycle management, and airtight audit trails for every non-human identity. This isn’t a finish line; it’s a continuous operating mode where governance is automated, coverage is total, and evidence is available on demand.
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The Google capability phase this aligns with:
Build and scale custom agents. As you deploy powerful, autonomous agents tailored to your business, governance becomes the essential engine for safe scaling.
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What JumpCloud does here:
JumpCloud Agentic IAM enforces policies and detects anomalies across your entire fleet. Every access event is logged, and every decision is traceable. Google defines the agent’s work; JumpCloud secures it completely.
Now you can scale without manual overhead. New agents enter a governed framework instantly, compliance evidence is always ready, and security leaders have real-time visibility. Your IT team stops firefighting and starts leading.
A new hire’s first day depends on a chain of manual steps: accounts created by hand, group memberships set one at a time, a device provisioned and shipped.
Offboarding is the same chain in reverse, and a missed step leaves an account nobody is watching. A governed onboarding agent reads the new hire’s role and runs the full sequence, then reverses every grant on the employee’s last day.
Google powers it through Gemini-driven agents in Google Workspace that coordinate the steps.
JumpCloud governs it as the source of truth for identity and access: the agent works inside the boundaries JumpCloud defines, every account is a managed identity, and access is revoked by policy and not by memory.
The result is day-one readiness as the norm, and an offboarding process that leaves no gaps.
Employees adopt new AI tools faster than IT can review them, creating the shadow layer which was described earlier. A discovery agent continuously surfaces the AI tools and agents in use and reports what each can access, so new agents enter the managed inventory automatically instead of being found months later during an incident.
Google powers the capability employees want, so the goal is to channel adoption, not block it.
JumpCloud governs by registering each discovered agent as a managed identity, applying least-privilege access, and providing the ability to revoke or shut it down on demand.
Adoption keeps its speed while governance is what catches up to it.
Audits consume the precious time of the team, with evidence scattered across systems and access histories rebuilt by hand for every framework and cycle. A compliance agent assembles the required evidence on demand: who had access to what, when it changed, and which policies were enforced.
Google powers it via Gemini Enterprise. It gathers, summarizes, and organizes material, turning audit prep into a quick query instead of a project.
JumpCloud governs the record. Access is granted, scoped, and revoked through managed identities. Every change is logged and is audit-ready.
The help desk is buried in repetitive, low-complexity tickets. Password resets and access requests are easy to resolve but expensive for staff. They crowd out high-value work. A support agent handles these common requests end-to-end. It escalates only the cases requiring a human, with full context attached.
Google powers it via a Gemini-driven agent. It understands plain-language requests and resolves them inside Google Workspace.
JumpCloud governs the agent’s reach. Requests stay within Least-Privilege policy. Every action is logged and attributed. Anything outside these boundaries is escalated and the resolution times drop.
Due to this, the effort of your IT Team shifts to the work that requires human skill and judgment.
IT leaders are trapped in operational firefighting. Due to this, the strategic planning and architecture get deferred. With the previous scenarios in place, that routine load is handled below the leader’s desk.
The leader sees a governed summary instead of a stream of approvals.
Google powers it by absorbing operational volume.
JumpCloud governs it, allowing leaders to delegate with confidence. Every agent runs inside enforced policy and leaves a complete audit trail.
The pattern across all five: Google supplies the capability, JumpCloud supplies the control. Capability without control is shadow AI. Control without capability is governance with nothing to govern. Together they are high-velocity IT the business can trust
The Opportunity Is Already Here
The agents are already running. The capability is already there. The tools that your teams are using every day, through Google Workspace and Gemini Enterprise, are producing real productivity gains right now.
The work ahead is not adoption. It is governance.
It is building the foundation that lets you expand the capability safely, at scale, without losing visibility or control, and without slowing down the business in the process.
That foundation is what JumpCloud Agentic IAM provides.
That capability is what Google Workspace and Gemini Enterprise deliver. Together, they give your organization both halves of what governed agentic IT requires.
Your teams do not need more ambition. They have that. They need the infrastructure that lets their ambition move at the speed it deserves.
Your Next Step: Infrastructure That Matches Your Ambition
The agents are already running. The capability is already here. The tools your teams use every day through Google Workspace and Gemini Enterprise are producing real productivity gains right now.
The work ahead is not adoption. It is governance.
To help your organization move from the hidden risks of shadow AI to the power of high-velocity, governed IT, we recommend two immediate paths forward:
Unify Control With The Work Transformation Set
Stop managing fragmented legacy infrastructure and start governing your AI. Designed as a powerful synergy between Google and JumpCloud, the Work Transformation Set replaces overlapping tools with a single operating model. It delivers Google's AI-powered productivity seamlessly integrated with JumpCloud's unified identity, device, and access foundation. Give your teams the capability they want, with the centralized control you need.
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