See how AI is actually being used across your organization — which teams have embraced it, which tools are getting traction, and where adoption is stalling.
The AI Adoption Report gives modern teams a clear, data-backed picture of how AI tools are landing across the workforce. Instead of guessing whether your AI investment is paying off, you get one place to track usage trends, compare teams and tools, spot your power users, and surface the teams that need a nudge.
This report only evaluates days when employees were expected to work and had recorded activity. If your organization uses the Scheduled Hours formula, a day is counted as a working day only if the employee had a scheduled shift on that day. If your organization uses the Standard Hours formula, weekdays marked as non-working are excluded. Days with time off entries are excluded across all formulas.
Permissions Overview
Admins:
Have access to both the AI Adoption report page and the settings for labelling apps and websites as AI tools.
Managers:
Can access the report page.
Will only see data that is relevant and permitted based on employees and teams under their scope.
Clients and Employees:
Do not have access to both the AI Adoption report page and related settings.
Four Ways You Can Understand and Improve AI Adoption
These views work together to answer the questions leadership keeps asking — Is AI adoption growing? Which teams are leading? Are we paying for tools nobody uses? No assumptions, just clear data, whether you're in HR, IT, a team lead, or the exec team.
1. Get the Headline Numbers at a Glance
What it does:
The KPIs strip at the top of the report summarizes the overall state of AI adoption in a single row, each metric shown against the change versus your comparison period:
AI Adoption Rate — the percentage of active workdays where employees used AI tools at least once.
Daily AI Users — the number of employees who used AI tools at least once on every active workday.
Daily AI Time / Employee — the average time spent in AI tools per employee, based on active workdays.
# AI Tools — the number of visited apps and websites categorized as AI tools for your organization.
Example:
Open the report and immediately see adoption at 66% (down 2% on last month), 13 daily AI users, an average of 28 minutes of AI time per employee, and 9 AI tools in use — no digging required.
Why this matters:
It gives executives and team leads a fast, shared snapshot. Everyone starts from the same numbers before the conversation gets into specifics.
2. Track Whether Adoption Is Actually Growing
What it does:
The Adoption Trend chart is a 30-day rolling average of your AI Adoption Rate, plotted as a line over time, so you can see the direction of travel rather than a single snapshot.
Example:
You roll out a Cowork to accounting department and watch the line climb steadily over the following weeks — or flatten out, telling you the launch needs more enablement.
Why this matters:
Adoption is a trend, not a moment. The rolling average smooths out day-to-day noise so you can see whether your rollout efforts are genuinely moving the needle.
3. See Which Teams Lead and Which Are Lagging
What it does:
The Adoption Maturity chart plots each team on a bubble chart by Daily AI Time (horizontal) and AI Adoption Rate (vertical). Bubble color classifies each team into one of four quadrants, using fixed boundaries of 1 hour of daily AI time and 40% of the team using AI every day:
Champions: spend 1+ hour daily on average on AI tools, with 40%+ of the team using AI every day.
Regulars: spend under 1 hour daily on average, with 40%+ of the team using AI every day.
Deep Divers: spend 1+ hour daily on average, but fewer than 40% of the team uses AI every day.
Dabblers: spend under 1 hour daily on average, with fewer than 40% of the team using AI every day.
Hover any bubble to see the team's exact figures, and use the expand control to view the chart full-screen.
Example:
You see Sales sitting squarely in Dabblers while Developers cluster in the Champions corner — a clear signal of where to focus your next enablement push.
Why this matters:
It turns a wall of usage stats into an at-a-glance map of who's leading and who needs support, so you can target your efforts instead of treating every team the same.
4. Compare Adoption Across Teams and Tools Side by Side
What it does:
The Adoption Comparison table is a cross-team, cross-tool heat map. Teams are listed as rows and individual AI tools (such as Claude, Cursor, ChatGPT / OpenAI, and Gemini / Google AI) as columns, with each cell showing that team's adoption rate for that tool. Cells are color-banded so patterns jump out without reading every number:
AI Adoption Rate > 60%
AI Adoption Rate 30% – 60%
AI Adoption Rate 0% – 30%
No AI Usage
Use the Search team box to jump to a specific team.
Example:
The heat map shows Claude is widely adopted by all customer service teams, except one. Useful both for spotting under-used licenses and for finding champions who could help drive adoption for the lagging team.
Why this matters:
It answers the procurement and rollout questions directly: which tools are landing, which teams are behind on a given tool, and where your spend is or isn't being used. Sometimes, you can even discover tools that other departments are subscribed to, without your awareness.
Filters & Settings
You can tailor the whole report from the controls at the top of the page. Changing any of them updates every KPI, chart, and table at once.
Date range — choose the period to analyze (e.g. Previous Month) and a period to compare to, which drives the change indicators on the KPIs.
Add Filter — narrow the report to specific employees, teams, or org groups.
Usage Threshold — set a minimum number of minutes for usage to count. Usage shorter than this threshold is treated as incidental and excluded from adoption metrics and report visualizations. By default we filter out tool usage under 3 minutes per day.
You can also Download the report as PDF, and admins can open Settings to manage which Apps&Websites are labeled as AI tools.