See where AI fits into your teams' workday
Understand which supported AI tools teams use and how adoption changes over time. Use the patterns to ask where access, training, or approved-tool guidance could help.
Momentum keeps counting: which tools are active, how adoption spreads across departments week over week, and whether usage is spreading or declining. Tool usage alone doesn't tell the story — employee feedback and business outcomes matter too — but visibility into which teams are actually using AI is the place to start.
Built around ai adoption analytics
One number for the whole organisation — the share of active seats actually using an AI assistant in a given week.
Everything in one place
Measure AI adoption from every angle
See which AI assistants are actually being used across your organization.
Understand how many employees are actively using AI tools.
Compare usage across teams in the context of their roles and access to AI tools.
Track whether adoption is increasing, plateauing, or declining.
Understand how much time teams spend working with AI tools.
Drill down from organization → department → employee.
How ai adoption analytics actually works
Not marketing abstractions — the real screens, rules, and signals that make up this part of the platform.
Which AI tools are tracked
Momentum classifies AI assistants and copilots — ChatGPT, Microsoft Copilot, GitHub Copilot, Claude, Gemini, and others — through the same Global App Rules that classify every other application. If a new AI tool shows up in your organisation, you mark it once and it's tracked from then on — no separate integration required.
How adoption is calculated
Adoption is the share of active seats that used a classified AI tool at least once in a given week — a plain, auditable ratio, not a black-box score. The number updates weekly as agents report in, so you're always looking at current reality, not a quarterly survey.
Usage down to the person and the department
Every individual sees their own AI tool usage in their Activity view alongside their productivity score. Managers see their teams' aggregate usage. The Workforce Dashboard rolls that up into a department-by-department comparison — so you can see whether adoption is an org-wide habit or concentrated in one team. Individual usage views can be limited or disabled per policy.
Teams to review, with context
The weekly adoption funnel tracks whether usage is growing, plateauing, or falling off after rollout. Teams with lower adoption surface for review — but low usage depends on role, access, policy, and actual need for the tool. The flag is a starting point for a conversation, not a verdict.
From install to insight in four steps
Where teams put it to work
AI adoption analytics, answered
Which AI tools does Momentum track?+
Any AI assistant or copilot your organisation uses — ChatGPT, Microsoft Copilot, GitHub Copilot, Claude, Gemini, and others — classified through Global App Rules, the same mechanism used for every other application. New tools can be added the moment your team starts using them.
What exactly does Momentum measure?+
Whether a classified AI tool was used, and how often, during the working day — not the prompts typed or the content generated. It's an adoption signal, not a content log.
How is adoption calculated?+
Adoption is the share of active seats that used a classified AI tool at least once in a given week, refreshed weekly as agents report in.
Can I see usage by person?+
Yes. Each employee's Activity view includes their own AI tool usage, visible to them and to their manager — the same self-visibility every Momentum metric has.
Can I compare adoption across departments?+
Yes. The Workforce Dashboard shows department-by-department adoption side by side, so you can see whether uptake is org-wide or concentrated in a few teams.
Can I identify AI tools nobody is using?+
Yes. Low-adoption teams and stalled tools surface automatically in the weekly trend, instead of waiting for a renewal conversation to notice.
Can I measure whether AI adoption is increasing over time?+
Yes. The weekly adoption funnel tracks the trend — growing, flat, or declining — so you know whether a rollout is working before the license comes up for renewal.