HyperTrack

The first reliability benchmark for staffing and see how you compare to the market. Also find out what the top performers do differently to turn time and attendance excellence into a competitive advantage. 01. Where is the market? See how your workforce stacks up in your field, in your state. 02. The signal that predicts a no-show Identify the key data point that predicts whether or not someone shows up for a shift. 03. What the best operators do about it Learn how top performers use time and attendance data to retain workers and improve client service. Join us online on October 8, 2026 11:00 am PDT / 2:00 pm EDT Speakers - Kashyap Deorah (Founder & CEO, HyperTrack) and Sonal Patel (Sr. Product Marketing Manager, Bullhorn) https://lnkd.in/dDW9X8Be

Two staffing firms. Same kind of shifts, same markets. One has a 98.7% show rate. The other is at 71%. Until now, there was no public benchmark to tell you which one you are. So we built one. We measured 10 million shifts across healthcare and light industrial staffing. On October 8, Kashyap Deorah (Founder & CEO, HyperTrack) and Sonal Patel (Sr. Product Marketing Manager, Bullhorn) will go through how staffing companies acclerate and retain business with AI in the middle office. See the impact of measuring reliability: 📊 How your show rate and on-time arrival compare with benchmarks by field and state 🔍 The one data point that predicts whether someone shows up for a shift 🏆 How top operators use time and attendance data to keep workers and win clients A no-show is usually decided hours before the shift starts, but most firms don't find out until clock-in. 🗓 Thursday, October 8 ⏰ 11:00 am PT / 2:00 pm ET ⏱ 30 minutes, online 👉 https://lnkd.in/eVQZ4c-h #StaffingIndustry #Staffing #WorkforceManagement #HealthcareStaffing #LightIndustrial

Pay cycles are weekly. But collection takes 59 days. Every unverified hour in that gap is one you are financing yourself, and one you will have to defend if it is ever challenged. $259M in back wages recovered by the DOL last year for nearly 177,000 workers, the highest since 2019. 5,702 federal FLSA suits filed in 2025. The real cost is not the dispute. It is workers who stop trusting their hours and clients who stop trusting your invoice. Verification has to happen at the moment of work, not at invoice time. Here's a quick clip from our recent showcase. Full session in the comments.

🎥 Watch the replay! In our recent webinar on timesheet verification and agentic AI, HyperTrack Director of Engineering Aashish Subramanian illustrates how agentic timekeeping addresses a key hurdle in staffing. How can the timesheet verification process be improved? Check out the replay below ⬇️ https://lnkd.in/eZ8h2tRs

Tune in to this week's webinar on Timesheet Verification and Agentic AI, led by HyperTrack's Director of Engineering, Aashish Subramanian. When: Thursday, August 13, 2026 at 11 am PDT / 2 pm EDT Register below to save your spot and check out this clip of our last webinar! https://lnkd.in/gBjDq84j

Avoid the most expensive breakdowns in staffing. Incorrect timesheets, missed meal breaks, inaccurate billing, and slow pay. The costs add up and ops teams drown in tickets. Next week, on Thursday, August 13, we're hosting a webinar on how agentic AI closes that gap: digital workers that sit on every shift to verify time and attendance. They: • Talk to your systems, workers, and ops teams • Flag exceptions and resolve them over SMS • Escalate to a human only when one is truly needed The result: fewer support tickets, cleaner timesheets, and faster pay. 🗓 Thursday, August 13 · 11 am PDT / 2 pm EDT With HyperTrack's Aashish Subramanian and Vibhas Jain Save your spot 👇 https://lnkd.in/gBjDq84j #Staffing #AI #AgenticAI #WorkforceManagement #Timesheets #FutureOfWork

The most expensive breakdowns in staffing happen after the placement. Incorrect timesheets. Missed meal breaks. Inaccurate billing. Slow pay. The staffing firm eats the cost, and the ops team drowns in tickets. On Thursday, August 13, we're hosting a webinar on how agentic AI closes that gap: digital workers that sit on every shift to verify time and attendance. They: • Talk to your systems, workers, and ops teams • Flag exceptions and resolve them over SMS • Escalate to a human only when one is truly needed The result: fewer support tickets, cleaner timesheets, and faster pay. 🗓 Thursday, August 13 · 11 am PDT / 2 pm EDT With HyperTrack's Aashish Subramanian and Vibhas Jain Save your spot 👇 https://lnkd.in/gBjDq84j #Staffing #AI #AgenticAI #WorkforceManagement #Timesheets #FutureOfWork