A field technician pulls up a site’s service history and gets a summary before walking in the door. A retail associate checks product details mid-conversation without leaving the customer. Neither one touches a laptop. AI is moving onto the phones, wearables, and other devices employees carry, and that changes what IT needs from those devices.

That shift was a central theme when Corey Campbell, Platform Specialist at Google, spoke at a recent Stratix customer workshop. His point for IT leaders: enterprise AI strategy and mobile device strategy are becoming the same decision.

The challenge is giving employees access to useful AI while keeping control of corporate data, devices, applications, and workflows. Here’s what that means for your enterprise mobility program.

Key takeaways

  • AI is moving onto the devices employees already carry, so device selection and management now shape which AI capabilities your workforce can use.
  • AI governance belongs inside endpoint management: approved tools, data access, where processing happens, and when a human signs off.
  • The best endpoint strategy starts with the workflow, not the latest specification.

How Is AI Changing the Way Employees Work?

AI removes friction from everyday work. Employees use it to synthesize documents, find information faster, surface insights, and automate tasks that used to take hours of manual effort.

Campbell shared an example from his own work. Managing a customer advisory forum, he used to spend about a week turning event notes, survey results, and presentations into separate deliverables for product managers, leadership, and participating customers. Now AI agents draft those assets and check them against the source material, and the process takes about 30 minutes, including reviews.

The bigger opportunity isn’t generating content. It’s orchestrating repeatable workflows across business information and applications, with a person reviewing the result. As those workflows extend to mobile devices, the device becomes part of the workflow.

That same shift creates the question IT has to answer: how much access should AI have, and who stays in control?

What Does AI on Mobile Devices Look Like Today?

AI is already built into the smartphones employees carry. Samsung Galaxy devices are a good example. Galaxy AI features like Note Assist organize and summarize notes, Transcript Assist transcribes and summarizes recordings, and Interpreter helps people communicate across languages in real time.

No single feature is the story. What matters is that AI assistance is now available at the point where employees do their jobs. The smartphone is moving from a device that provides access to business applications to an intelligent endpoint that actively helps with work.

That matters most for frontline workers who don’t sit at a desk. Retail associates, field technicians, healthcare professionals, transportation teams, and warehouse staff already depend on mobile devices. AI can add help inside those workflows instead of sending people to a laptop:

  • A healthcare worker uses real-time interpretation to talk with a patient who speaks another language.
  • A warehouse supervisor gets a shift summary on a handheld device before walking the floor.

The question for IT isn’t “What can AI do?” It’s “Which AI capabilities make this employee’s job easier?” That answer should guide device selection, application strategy, and overall program design.

Why Is Enterprise AI Becoming an Endpoint Decision?

AI experiences are starting to follow employees across devices, so the device itself becomes part of the workflow. Campbell described a vision where AI extends across phones, laptops, wearables, smart glasses, and extended reality (XR) headsets, carrying context with the employee through the workday.

Picture a field employee preparing for a site visit. AI gathers relevant information from corporate systems before the day starts. The employee checks it on a phone or wearable in the field, then picks up the same workflow on a laptop later.

Where AI processing happens adds another layer. On-device AI runs some workloads directly on the phone or laptop instead of sending everything to the cloud. Depending on the task, that can affect responsiveness and where sensitive data is handled.

Processing power, memory, durability, battery life, and connectivity still matter. But the bigger question is how each device participates in an intelligent workflow. The best endpoint strategy starts with the workflow, not the latest specification.

How Should IT Govern AI on Mobile Devices?

Treat AI governance as part of endpoint management, not a separate cloud or application decision. That means deciding which AI tools and features employees can use, what corporate data those tools can reach, where that data is processed, and which actions need human approval before they run.

Human oversight matters more as AI moves from answering questions to taking actions. Campbell stressed keeping people in the loop, including confirmations before AI agents execute high-impact actions. He also pointed to controls for data loss prevention, threat protection, unapproved AI tools, device security, and workload isolation.

On Samsung devices, Samsung Knox is where much of that control lives. Knox lets IT configure devices and set policies at the hardware and operating system level, so decisions about which Galaxy AI features are enabled and how data is handled become part of the device configuration itself.

The result is that AI strategy, security, endpoint management, and data governance, areas many IT teams have handled separately, now belong in the same enterprise mobility plan.

How Do You Prepare Your Mobile Environment for Enterprise AI?

You don’t need to turn on every AI capability today, but you should know whether your current mobile environment is ready for what’s coming. Start with these questions:

  • Use cases: Which roles and workflows would AI meaningfully improve?
  • Device strategy: Are your current endpoints equipped for emerging AI experiences, including on-device processing?
  • Security: How will corporate information stay protected as employees interact with AI?
  • Governance: Which AI tools are approved, and when is human review required?
  • Management: Can IT enforce consistent policies across phones, laptops, wearables, and specialized devices?
  • Applications: How will your existing business apps fit into AI-enabled workflows?
  • Employee experience: Does AI make the job easier, or add another tool to manage?
  • Lifecycle planning: How will AI requirements shape your next device refresh?

Management at scale deserves extra attention. A mixed fleet of smartphones, laptops, and wearables gets complex fast when each category is managed separately. Google is working toward a consistent management approach across Android form factors, including zero-touch enrollment (devices that configure themselves on first boot), consistent policies, third-party management APIs, and more automation.

AI doesn’t replace the fundamentals. Devices still need to be deployed, configured, secured, monitored, supported, repaired, refreshed, and retired. AI adds a new layer to every one of those stages. For organizations considering Samsung Galaxy devices, that means evaluating Galaxy AI as part of the full lifecycle, not as a list of individual features.

From Mobile Devices to Intelligent Workflows

Campbell described Google’s shift from thinking in terms of operating systems to what he called an “intelligent system.” For IT leaders, it’s a useful frame. The future of enterprise mobility is less about a better phone or laptop and more about workflows where the right device helps employees find information, make decisions, and get work done wherever they are.

Galaxy AI and Google Gemini show that future is already arriving. The work now is turning those capabilities into secure, manageable tools your teams actually use. Stratix helps organizations select, deploy, manage, support, refresh, and retire enterprise mobile technology, building the foundation AI needs to deliver results. Want to see whether your mobile environment is AI-ready? Reach out today for a free consultation with a Stratix Solution Architect