Find risk before it becomes a miss
Surface coverage gaps, adherence exceptions, and forecast variance while leaders still have time to act.
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QueuePilot gives WFM and supervisor teams the live staffing context they need to prevent service level misses before they happen.
Surface coverage gaps, adherence exceptions, and forecast variance while leaders still have time to act.
Turn staffing risk into clear options for overtime, VTO, schedule moves, and escalation.
Give supervisors, analysts, and executives the same view of what is happening right now.
Every operations leader knows the moment. The forecast said 380 contacts for the 10:30 interval; the wallboard says you have already taken 410 with ten minutes left. AHT is running 40 seconds hot because of a billing change nobody told WFM about. Two agents called out this morning. None of these facts is a crisis alone, but stacked together they mean the 1:00 PM intervals are going to miss badly, and right now nobody is looking past the current half hour.
In most centers, what happens next is a group chat, a supervisor with good instincts, and a round of improvised decisions that nobody can fully reconstruct afterward. The team is not short of data, the platform measures everything, it is short of an answer to two questions: how bad is the rest of the day going to be, and which of the available moves actually fixes it?
Good intraday management is a loop that runs all day. Detect: notice that volume, AHT, or staffing has diverged from plan early, at the interval level, not when the daily summary lands. Size: project the divergence forward, if volume keeps running 8 percent hot and AHT stays elevated, what do the next four hours of coverage look like? Decide: compare the realistic countermoves, an hour of overtime, voluntary time off in the overstaffed evening, moving a training block, shifting lunches, by what they actually recover. Act: make the move, tell the people affected, and write down why.
Spreadsheets cannot run this loop because they are static; the morning export does not know about the 10:40 spike. Wallboards cannot run it because they show the present, not the projection. The loop needs live data, a forecast to compare against, and the staffing math, the same Erlang-style requirement and shrinkage logic used in planning, recomputed continuously.
QueuePilot watches live queue and agent data against the interval forecast and recalculates risk across 15, 30, and 60-minute windows. When the day diverges enough to matter, it flags the affected intervals and generates specific recommendations: offer overtime from 2:00 to 4:00, release voluntary time off in the overstaffed 6:00 PM hour, delay the non-critical coaching block, move two lunches by 30 minutes. Every recommendation carries plain-English reasoning, what changed, what it threatens, what the move recovers, so a supervisor can defend the decision to leadership and a new team lead can act like an experienced one.
Nothing executes automatically. A human approves every action, which keeps the floor in charge and builds an audit trail of intraday decisions, something almost no spreadsheet-and-group-chat operation has when the quarterly what happened in March review arrives.
Decide your thresholds before the bad day, not during it. Agree on what size of variance triggers action, for example projected service level for any interval dropping below target minus five points, and write down the standard countermoves in order of preference and cost. Pre-negotiate the awkward ones: overtime budgets, voluntary time off rules, and which meetings are movable should be settled policy, not a fresh debate at 11:00 AM.
Then close the loop weekly. Review which intraday calls were made, what they cost, and what they recovered. Teams that do this build institutional judgment instead of depending on the one supervisor who has seen everything, and they feed better assumptions back into the forecast, which makes next month’s intraday quieter. For the full step-by-step version, read our intraday management playbook on the blog.
Intraday management is everything that happens after the schedule is published: monitoring actual volume, handle time, absence, and adherence against the forecast, projecting the rest of the day, and making corrective moves like overtime, voluntary time off, or schedule changes before service levels miss.
First size the problem: project the variance forward to see which intervals actually break, since a 10 percent spike in an overstaffed hour may need nothing. Then work the cheapest effective lever: move breaks and lunches, pull forward offline work, offer targeted overtime, and escalate to leadership only when the projected miss exceeds what those moves can recover.
Continuously is ideal, and at minimum every 15 to 30 minutes during operating hours. The point of reforecasting is lead time: a gap detected 3 hours ahead has cheap fixes like moved lunches, while the same gap detected 20 minutes ahead has only expensive ones.
Scheduling decides the plan days or weeks ahead. Intraday management defends the plan on the day, detecting where reality diverges from forecast and choosing corrections. Many tools generate good schedules but leave intraday to wallboards and instinct, which is the gap QueuePilot focuses on.
Built for WFM analysts, supervisors, operations managers, and contact center leaders who need to catch staffing issues before customers call in.
QueuePilot is in paid beta with NICE CXone as the first-class integration. Beta teams onboard directly with the people building the product, start in demo mode against realistic simulated data before connecting anything, and get a real vote on what ships next.