ActivTrak launches AI insights to track workplace use
ActivTrak has launched AI Insights, a new set of work intelligence tools for tracking how artificial intelligence is used across organisations. The product is designed to link AI use with productivity, capacity and business performance.
The Austin-based software provider says the launch addresses what it sees as an AI measurement gap. As businesses adopt more AI tools, many still struggle to assess whether those investments are delivering results. Rather than relying on data from individual applications, AI Insights combines behavioural data across employees, applications and AI tools to give managers a broader view of adoption and outcomes.
Many companies have moved quickly to roll out generative AI and related software across teams, but often measure usage only at the level of the individual tool. That approach can show whether staff open or access a product, but it may not reveal how AI affects workflows, output, capacity or broader operating performance.
AI Insights is intended to provide a system-level view of AI adoption across five areas: usage measurement, governance and compliance, adoption maturity and benchmarking, productivity impact, and optimisation and return on investment. It is designed to help employers identify which tools are in use, whether approved or unapproved products are being used, and where AI adoption is moving from experimentation into regular work processes.
The product also aims to show whether AI is reducing manual work, shortening the time needed to complete tasks, or leaving tools underused. That focus reflects a wider challenge for executives who have approved spending on AI platforms but remain under pressure to prove business value.
ActivTrak cited findings from its Productivity Lab to illustrate the pace of adoption. According to its 2026 State of the Workplace report, the average organisation used two AI tools in 2023 and seven by 2025, while 83% of organisations were using six or more tools.
That growth has sharpened questions around oversight and effectiveness. As more departments adopt different AI products, business leaders face a more fragmented technology estate and a more complex task in judging whether tools are improving output or simply adding another layer of software to manage.
Heidi Farris, Chief Executive Officer of ActivTrak, said the company sees that challenge as rooted in changes to day-to-day work. "Work has fundamentally changed. It's now people and AI, side by side, sharing tasks in ways that were hard to anticipate two years ago," Farris said. "But organizations still lack a clear way to measure what that shift actually means. ActivTrak work intelligence gives leaders a complete, objective view of AI adoption and impact - from early usage patterns to real business outcomes."
Measurement Gap
ActivTrak argues that measuring AI solely through product dashboards misses the broader operational picture. A team may show high usage of a chatbot or writing assistant, for example, while still failing to improve throughput or reduce workload if the tool creates extra editing, checking or duplicate work.
The issue has become more visible as companies move beyond pilot projects and begin asking whether AI spending should rise, stay flat or be redirected. In that environment, software vendors are increasingly framing their products around measurement, governance and operational evidence rather than novelty alone.
Javier Aldrete, Chief Product Officer at ActivTrak, said better baseline data is needed before companies can make informed decisions. "Most organizations are making AI decisions without a clear understanding of what's actually changing," Aldrete said. "They're scaling tools without knowing what's working. What's needed is a behavioral baseline that shows where AI is used and where it delivers value. That's what makes smarter decisions possible."
ActivTrak says it serves more than 9,500 organisations worldwide. The business focuses on what it calls work intelligence, using behavioural data to help employers understand how work is carried out across teams, software and AI systems.
The launch places the company in a growing segment of the software market focused on workplace analytics and oversight, as employers seek clearer evidence of AI's practical effects on day-to-day operations.