The verdict from the teams using it

“The machine-approval lifecycle was the reason our security team signed off. Agents deploy silently, nothing reports until we approve the hardware.”

“Utilization comes straight off the dashboard now. Client-ready reports with zero manual timesheets — that alone justified the cost.”

“Per-department app rules fixed the fairness complaint on day one — test tools and terminals finally count as productive work for my team.”

“Expected-vs-actual per project replaced our Friday utilization spreadsheet. Scope conversations with clients are no longer a fight.”

“Rollout across offices took under a week through our existing MDM, and the agent barely registers on Resource Usage.”

“Everyone can see their own timeline and score, which turned a monitoring rollout into something the team actually uses.”

“Endpoint security posture and fleet risk ranking replaced three disconnected tools with one queue. We caught a non-compliant laptop before it became an incident.”

“AI adoption analytics showed us exactly which teams had gone around IT to use their own tools — so we could enable them properly instead of trying to ban anything.”

“Anomaly detection rules are ours to define, which matters — the agent queues matches for review and never blocks or interrupts a device on its own.”

“The machine approval lifecycle is criminally underrated. Agents install silently through our device management, land in a pending queue, and nothing reports until we approve the hardware. Zero rogue devices since rollout.”

“Department app rules fixed our biggest fairness complaint — the same app scores as Productive for one team and Unmarked for another. Devs stopped arguing with the score once IDEs and terminals counted properly.”

“The Timeline view is my morning ritual: active/idle strips plus input stats per person tells me who needs help before anything turns red. Wish the Logs export had more filters, but it keeps improving.”

“We set workday hours, expected desk hours, and target productive hours per department in General settings — so the score reflects each role's reality. Everyone sees their own numbers, which killed the surveillance objection.”

“Cross-platform agents that actually work, and offline app capture that catches local IDEs without plugins. The Resource Usage view confirmed the agent barely registers even on machines running local model builds.”

“The Workforce Dashboard's expected-vs-actual trend replaced our Friday utilization spreadsheet. Top/bottom department views spot problems early. Setup took a weekend; tuning Global App Rules took a bit longer.”

“Endpoint security posture checks and the fleet risk ranking replaced a spreadsheet nobody trusted. We finally have one queue of devices to work through instead of three disconnected tools.”

“The burnout risk index caught an after-hours pattern on our incident-response team two weeks before anyone would have noticed on their own. That alone justified the rollout.”

“AI adoption analytics showed which teams had already gone around us to use their own tools. We used that to fix onboarding instead of writing a policy nobody would read.”