Frontline data is noisy — as much as 30% of what you collect is unreliable. Augmentir’s AI separates signal from noise and stack-ranks the largest capturable opportunities across every process, team, and worker.
Over 15 million jobs analyzed and counting.
Each one answers a different question, and each one is computed from cleansed execution data rather than from what a stopwatch or a spreadsheet happened to capture.
Stack-ranks your largest productivity opportunities across every work process, so continuous improvement teams start with the highest ROI instead of the loudest complaint.
Determines the proficiency and performance of every worker at every task — so workforce development money goes to the person and the skill that actually need it.
Pinpoints the highest-impact areas for improving quality, productivity, and safety — and predicts the effort required to capture each one before you commit a team to it.
Build agents in Agent Studio that read Workforce Intelligence directly, so continuous improvement stops being a quarterly exercise and becomes a standing loop.
Every job execution feeds the model — no stopwatch, no observer, no sampling bias.
Opportunities sort themselves by capturable value at every level of the organization.
Agents trigger targeted training, recommend process changes, or flag standard work deviations.
The next cycle measures whether the intervention worked, and the ranking updates itself.
It's not just about measuring productivity — it's about using AI agents to continuously improve it, across every process, every worker, and every site.
Start with One Process
