Built to be read in five seconds, and explored for five minutes
Most operational dashboards fail because they try to be everything at once: a wall of numbers nobody has time to parse during an actual shift. We designed the LabOps AI dashboard around a simple test: could a busy lab manager glance at it while walking past a workstation and immediately know whether the day is on track? If the answer is yes, everything else is layered underneath for the moments when someone needs to dig deeper.
Try it: this is a live mockup of the actual dashboard
Switch tabs below to explore each view. The alert feed and stage detail respond to clicks, just like the real product.
23 specimens are currently flagged by the AI risk model, split by severity.
- Chemistry batch #4471: high risk, 18 min over expected turnaround
- Hematology batch #4483: moderate risk, trending slow since 2PM
- Microbiology batch #4490: moderate risk, analyzer running behind
Expected vs. actual turnaround time, last 6 hours.
Expected Actual
Collection to result. Click a stage to see live detail.
What's on the dashboard
Operations Overview
Specimens today, processing, completed, delayed, and critical counts at a glance: the five numbers that matter most, first.
AI Risk Monitor
Specimens at risk, split into high-risk and moderate-risk categories, so triage decisions are obvious instead of guessed.
Turnaround Time
Expected vs. actual, tracked continuously, so you catch drift while it's still a small problem.
Workflow
Collection to result, with the current bottleneck stage flagged automatically. No need to hunt for it.
Ask Your Lab
Beyond the visual dashboard, LabOps AI includes a conversational layer: ask a plain-language question like "why did turnaround time increase this week?" and get an answer grounded in your actual operational data, not a canned response. It's designed for the manager who doesn't have time to build a custom report just to answer one question.