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Executives know employees use AI. But do you know which tools they use, and how? Do you understand the impact AI has on your teams and the business at large? For most leaders, the answer is no — or at least not with the clarity required to manage risk and drive results. 

In 2026, that visibility gap becomes more consequential as AI use moves from experimentation to adoption. 

According to ActivTrak’s latest State of the Workplace report, the number of employees using AI is up 107% year over year. But the promised productivity gains are yet to materialize. AI users work longer hours and are less focused, a clear sign AI adoption is outpacing efficiency.

This gap between adoption and impact shows up in leadership practices as well. In a separate, recent survey, 71% of leaders reported using or piloting AI tools — yet half don’t measure the impact. Without objective data, leaders lack the visibility needed to manage AI security risks, ensure effective use or measure the impact of AI on productivity. 

The good news? You don’t have to guess your way to a solid AI strategy. With the right insights, leaders can guide safe, efficient AI use and turn adoption into a competitive advantage.

The core AI issues leaders face

Many leaders are caught between two competing pressures: managing risk and maximizing value. The result is a fast-expanding list of concerns:

  • Do employees use approved AI tools or experiment with ones that introduce security risks?
  • Which teams use AI effectively and which are falling behind?
  • Is AI improving workflows and decision-making? Or is it simply an overpriced search engine?
  • Is AI actually saving time or quietly adding more work?
  • How do you set AI policies without stifling innovation or slowing progress?
  • How can you provide the right training so teams use the right tools for the right outcomes?

Answering these questions requires more than assumptions and anecdotes. You need a complete picture of AI usage across the organization.

That’s where ActivTrak comes in. This workforce analytics platform provides visibility into AI adoption and impact across teams and roles, helping leaders quantify ROI and optimize AI investments.

How ActivTrak brings clarity to AI in the workplace

By collecting and analyzing AI usage data, ActivTrak lets you:

  • See which AI tools employees use
  • Monitor risky behaviors
  • Track patterns across teams
  • Connect usage to outcomes
  • Identify and implement best practices
  • Optimize workforce utilization and high-impact work

Let’s look at each of these areas in more detail.

See which AI tools employees use

Different teams have different AI needs. ActivTrak shows which AI tools employees use (ChatGPT, Claude, Copilot, Gemini and more), how often they use them and how those tools fit into daily workflows. This visibility helps you align AI use with business goals and establish clear policies based on how work gets done.

ActivTrak shows how AI tools impact productivity, focus and collaboration.

Monitor risky behaviors

Not all AI tools carry the same risk. ActivTrak helps leaders spot the use of unapproved or restricted tools in real time, before small issues turn into bigger problems. This insight allows you to move away from blanket restrictions and steer employees toward safer, approved alternatives.

With ActivTrak alarms, business leaders receive real-time alerts when employees access unapproved AI tools.

Track patterns across teams

AI adoption rarely happens evenly. Some teams find meaningful ways to integrate AI into work, while others struggle or fall behind. ActivTrak makes these patterns visible, allowing leaders to learn from high-performing teams and provide targeted training. 

Connect AI usage to outcomes

Understanding which AI tools people use is only part of the picture. ActivTrak connects AI activity to broader work patterns like focus time and task switching, so you can see whether those AI tools improve performance. This context allows you to reinforce effective behaviors and identify where change is needed.

Identify and implement best practices

Consistent visibility lets you move beyond experimentation to build scalable AI systems. ActivTrak shows what works, what doesn’t and where adjustments are needed over time. The result is a sustainable approach to AI adoption — one that protects the organization while delivering long-term value.

Optimize workforce utilization and high-impact work

AI adoption only delivers value when it supports the right work. ActivTrak measures the true impact of AI usage, showing you if and when tools free up human capacity. Are AI users gaining more time to focus on high-value work, taking on additional work or simply working less? Or are those time savings quietly disappearing into low-impact activity? Answering these questions allows you to turn AI from a shiny distraction into a tool that genuinely amplifies what your teams do best.

Tips for building a data-informed AI culture

AI is no longer a side experiment or concern to save for tomorrow. It’s here, and it’s expanding fast. Organizations that gain the most value will move beyond guesswork, using workforce data to make AI adoption clearer, safer and easier to manage. 

That data needs to be accessible and actionable. For example, you can use ActivTrak dashboards and reports to:

  • Decide which tools to adopt. Use ActivTrak’s website and application usage reports to see which AI tools employees use and offer the most ROI.
  • Inform policies and guidelines. Review AI usage trends across teams to identify which tools support productive work and which create overlap or risk.
  • Build training programs. Use team- and role-level dashboards to pinpoint where AI adoption is strong and where more training is needed.
  • Stay ahead of security risks. Set up alarms to receive notifications when someone accesses an unapproved or high-risk AI tool.

From AI uncertainty to confident leadership 

Let’s face it: AI is already reshaping how work gets done. But you don’t have to choose between innovation and visibility. With ActivTrak, you can have both. 

The leaders who succeed in 2026 won’t ban AI tools or wait for perfect policies. Instead, they’ll use workforce data to create clear expectations grounded in how work actually happens. 

Best way to get started? Sign up for a free ActivTrak account to start collecting and analyzing AI usage within your workforce. Then apply the tips outlined above to shape, measure and improve your AI programs over time.

Javier Aldrete

Javier Aldrete is Chief Product Officer at ActivTrak, with 25+ years experience leading the development and delivery of award-winning SaaS and enterprise software products that apply artificial intelligence, predictive analytics and business intelligence to solve problems in B2B and B2C industries.