You deployed AI tools. Now prove they're working.

To measure AI operational efficiency, you need a passive measurement layer that captures how your team spends time before and after deploying AI tools. Rize runs silently in the background and tracks every application, document, and website your team uses — without requiring anyone to start a timer or fill out a log. Deploy Rize before your AI rollout to establish a baseline, then compare department-level time allocation after the tools are live. The difference is your efficiency gain.

The biggest obstacle to AI change management is employee resistance — people sandbag their time reports because they fear automation will eliminate their roles. The best way to track AI change management is with ungameable measurement. Rize captures time data passively from actual computer activity, not self-reported logs. Employees can't inflate their hours or hide AI tool usage because the tracking happens automatically. This gives you accurate adoption data and honest before-and-after comparisons.

To prove AI automation ROI, you need three things: baseline time data from before the AI deployment, current time data from after, and salary information to convert the difference into dollars. Deploy Rize before rolling out AI tools to capture your baseline. After the rollout, pull department-level reports showing how time allocation shifted. Attach salary data to calculate the dollar value of time saved. Export the reports directly or query your data via MCP to generate the narrative your CFO needs.

An AI impact assessment measures how AI tools affect operational efficiency, employee workflows, and business outcomes. It typically involves comparing pre-deployment and post-deployment metrics across departments. Rize provides the data layer for AI impact assessments by passively tracking time allocation before and after AI rollouts. Instead of relying on surveys or self-reported data, you get objective measurements of how time is spent — which processes sped up, which tools are being used, and where efficiency gains actually occurred.

Manual time tracking fails for measuring employee productivity after AI deployment because employees self-report inaccurately — especially when they fear the data will be used to justify headcount cuts. Rize solves this by tracking time automatically at the application level. You see department-level aggregations showing how teams spend their time, which AI tools they use, and how workflows changed after deployment. No individual surveillance, just department-level patterns that show whether AI tools are making a measurable difference.

Yes. Rize works for teams of any size, from small departments to entire organizations. It installs on macOS and Windows, runs silently in the background, and provides org-level dashboards with department and team views. Rize captures metadata only — application names, window titles, and URLs — not screenshots or keystrokes. Data is encrypted in transit and at rest. For enterprises evaluating AI tool ROI, Rize provides the passive measurement layer needed to compare efficiency before and after deployment.

Yes. Rize tracks every application and website your team uses, including AI tools like GitHub Copilot, ChatGPT, Claude, Gemini, Perplexity, and any other tool accessed via browser or desktop app. You see exactly how much time each team spends in AI tools, which tools are used most, and whether the licenses you're paying for are actually being adopted. This data is critical for AI rollout assessments — you can't measure ROI on tools nobody uses.

Manual time tracking produces fabricated data. When employees know their time reports will be used to evaluate AI tool impact, they have every incentive to sandbag — reporting no improvement to protect their roles. Rize captures time passively from actual computer activity, so the data is accurate by default. Teams can use Rize for per-engagement AI transformation assessments because the data is ungameable. Deploy it before the AI rollout, capture a baseline, deploy the tools, and compare. No surveys, no compliance issues, no fabrication.