As enterprise AI adoption shifts from experimentation to execution, a new battleground is emerging: data quality. ActivTrak, known for its workforce analytics platform, just threw its hat into the ring with AI Integration Services—a consulting arm aimed at helping enterprises turn real-world work activity into high-precision AI models.
Announced alongside strong mid-year growth, the new offering positions ActivTrak as more than a passive analytics tool—it’s now an AI enablement engine.
“AI transformation isn’t just a tech initiative — it’s a business mandate,” said ActivTrak CEO Heidi Farris. “Enterprises want operational AI that’s responsible, real, and built on trustworthy data.”
That’s where ActivTrak sees its edge. With access to 11 exabytes of workforce activity data per month, the company claims it can give AI systems the one thing they’re often missing: actual behavioral context from real teams doing real work.
Beyond BI: Turning Work Data Into AI Training Sets
ActivTrak’s AI Integration Services are designed to fill in the blanks left by traditional business intelligence and static productivity tools. The consulting suite includes:
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AI readiness audits
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Governance and privacy strategy
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Use case discovery and definition
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Architecture planning and best practices
The end goal? Help enterprises build AI models that aren’t just theoretically smart, but practically useful and ethically grounded.
For example, ActivTrak’s Financial Loss Analysis tool already uses AI to flag productivity gaps with potential cost implications. Another feature, Activity Alignment, maps employee behavior to business goals—critical context for AI models aimed at optimization or forecasting.
Why It Matters: Real Data Beats Assumptions
One of the core issues in enterprise AI is that most training data doesn’t reflect how businesses actually operate. It’s either generic, outdated, or divorced from day-to-day workflows.
ActivTrak argues that its workforce intelligence platform offers a living, breathing dataset—tracking how, when, and where work happens across teams, tools, and time zones. That level of detail makes it uniquely suited to power strategic copilots, automation agents, and forecasting models.
“AI leaders aren’t just chasing model accuracy,” says CTO Matt Finlayson. “They want inputs that reflect reality. We help them get there.”
A Timely Bet on AI, Backed by Performance
The launch isn’t just a play for future relevance—it builds on a strong start to 2025. ActivTrak reported:
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60% year-over-year enterprise ARR growth
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1 million users across 9,500+ organizations
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15% product engagement growth
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Major uptake in finance and legal sectors for AI-powered analytics
At a time when AI tool usage is surging—58% of employees now use AI daily, up 107% year-over-year—ActivTrak’s services aim to help employers close the gap between usage and governance, between tools and strategy.
And it’s not just hype. ActivTrak’s 2025 State of the Workplace report finds AI users work longer days (+8 minutes on average) but with lower focus time—raising questions about how productivity is measured and managed in the AI age.
Looking Ahead: Deeper AI, Smarter Workflows
This isn’t a one-and-done launch. Over the coming months, ActivTrak plans to expand its AI portfolio with:
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Predictive analytics & forecasting
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Automated workflow optimization
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Deeper third-party AI integrations
These developments will likely intensify ActivTrak’s competition with platforms like Microsoft Viva, Workday, and even Zoom’s Workvivo—all of which are racing to own the intersection of employee data and AI insights.
What sets ActivTrak apart, however, may be its pure behavioral dataset and its growing consulting muscle—two pieces essential for building AI systems that don’t just crunch numbers, but understand work.
As enterprises scale AI beyond pilot projects, data will be the differentiator. ActivTrak is betting that its real-time visibility into digital work habits—combined with a privacy-first framework—can deliver AI outcomes that are both effective and ethical.
Whether you’re optimizing finance workflows, automating operations, or building strategic copilots, the message is clear: AI needs better data. ActivTrak wants to be the source.
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