A day with IgniteIQ. From the first coffee to the last truck back in the yard.

Scott opens his inbox. The brief from IgniteIQ is already at the top — sent at 5:58 AM, before he was awake. Three things going right. Two things that need his attention. One decision he needs to make today. He reads it in three minutes. He knows what kind of day this is.

By the time Scott rolls into the shop, the morning rush is in full swing. Five trucks rolled out at 7:30. A sixth is finishing a tune-up across town. Mike, the ops lead, is already in the #intelligence channel — there's a route opportunity worth $2,400 today. Mike clicks reroute. Done. Moved.

Scott walks into David's office for the weekly review. David — the CFO — opens the Q2 operating plan. Row 3, the install gross margin cell, is flagged red. Hovering it, IgniteIQ has already explained why: Yelp-sourced jobs running 6 points under target. Plus the path to close it. They don't have to ask. The platform already told them.

On the way back from a customer site, Scott's phone buzzes. Friday's revenue is going to miss plan by $18K unless they add two more bookings today. Two recovered leads from Tuesday were never called back. CSR-AI is ready to reach them in the next hour. Scott texts: “Yes, go.” Within ninety seconds, calls are dialing.

Sarah, head of marketing, has been asking the same question for six months: which channels are actually profitable, not just busy. She opens Claude. Types the question in plain English. The IgniteIQ connector reads the live ontology — 1,247 jobs, 612 leads, every dollar attributed. The answer: Yelp is losing money. The next budget shifts before the day ends.

Eric, the VP of service ops, pulls up ChatGPT to answer the question average ticket has always hidden: which techs are actually profitable? With the IgniteIQ connector, ChatGPT reads the resolved ontology, factors in callback costs, and ranks the real performers. Two techs the team thought were stars are bleeding margin. Not a roster change. A coaching conversation.

By 4 PM the trucks are rolling back in. Scott, David, and a handful of techs gather in the kitchen for the daily standup — same ritual every day. But today the dashboard on the wall TV tells a different kind of story. Every number on it is live, pulled from the ontology in real time. And tucked at the bottom: three big wins from the day, each one traceable back to a decision the team made hours ago. The dispatcher reroute. The CSR-AI callbacks. The budget shift. The dashboard doesn’t just report the day. It ties it together.