You deployed AI tools. How do you know they're working?

An AI audit is a systematic assessment of how AI tools are performing within an organization. It measures whether AI investments are delivering real efficiency gains by comparing work patterns before and after AI deployment. Unlike traditional audits, an AI efficiency audit requires passive, automatic data collection to avoid employee self-reporting bias.

An AI assessment starts with establishing a baseline of how time is currently spent across departments — before any AI tools are introduced. After AI deployment, you compare the before-and-after data to measure actual efficiency gains. Rize automates this process by capturing time data passively, so you get accurate measurements without relying on employee self-reports.

An AI readiness audit evaluates whether an organization is prepared to deploy AI tools effectively. It includes assessing current workflows, identifying repetitive tasks that can be automated, and establishing baseline productivity metrics. Rize provides the baseline measurement layer — deploy it before your AI rollout to capture where every hour goes, then use that data to target the highest-impact automation opportunities.

AI maturity is measured by how effectively an organization adopts, uses, and benefits from AI tools. Key metrics include AI tool utilization rates, time savings per department, and ROI on AI investments. Most companies struggle to measure maturity because they lack baseline data. Rize solves this by capturing automatic time data before and after AI deployment, giving you concrete before-and-after metrics instead of anecdotal estimates.

To prove AI ROI, you need three things: a baseline of how time was spent before AI, accurate data on how time is spent after AI, and the ability to convert time savings into dollar figures. Manual time tracking fails because employees fabricate data — especially when they fear headcount cuts. Rize captures time data automatically from actual computer activity, so your ROI calculations are based on real numbers, not self-reports.

An AI audit is a point-in-time evaluation of AI tool performance and adoption. An AI impact assessment is a longer-term measurement of how AI has changed workflows, efficiency, and costs. Both require baseline data. Rize provides continuous, automatic time tracking that supports both — deploy it once and measure AI impact at 30, 60, and 90 days.

Not with Rize. Traditional time tracking relies on manual entry, which employees routinely fabricate — especially when automation threatens their roles. Rize runs silently in the background and captures time data from actual computer activity. There's nothing to fill out, nothing to round, and nothing to manipulate. The data reflects what actually happened.

Rize captures usable baseline data within the first week. For a statistically meaningful baseline that accounts for weekly variation, two weeks is ideal. Deploy Rize at least two weeks before introducing AI tools, and you'll have a clean before-and-after comparison.