Manual scheduling & texting
Every job was booked in Outlook and assigned by hand over SMS — slow, repetitive, and easy to get wrong as volume climbed.
A fast-growing gutter-cleaning company was running dozens of jobs a week on manual Outlook scheduling and texts — with no real tracking and no way to scale. Pulsar AI built an AI intake assistant and an automated dispatch system that captures every job and assigns the next free worker on its own.
The company was winning plenty of work — dozens of jobs a week across a mobile crew. But every booking, assignment and update was coordinated by hand, with no real-time tracking. The bottleneck wasn't demand; it was the admin holding the whole thing together.
Every job was booked in Outlook and assigned by hand over SMS — slow, repetitive, and easy to get wrong as volume climbed.
There was no clear view of who was free, who was busy, or what stage each job was at — leading to double-bookings and idle time.
More jobs meant more manual coordination. Every new worker added admin instead of capacity — capping growth by effort, not demand.
| Problem area | Operational impact | Business consequence |
|---|---|---|
| Scheduling | Manual Outlook booking and SMS for every job | Slow, error-prone coordination |
| Job tracking | No central real-time view of jobs and workers | Double-bookings and idle or overloaded crew |
| Dispatch | The owner manually assigned each worker | One-person bottleneck and avoidable delays |
| Scalability | Admin grew with every new job and hire | Growth capped by coordination, not demand |
The goal was to take coordination off the owner entirely: capture each job automatically, track every worker in real time, and let the system assign and notify the right person on its own.
An AI assistant collects the full job detail clearly and consistently, so nothing is missed or mistyped.
One central database shows who's free, who's busy, and exactly where each job stands — in real time.
The system picks the next available worker and texts them the job details automatically — no manual dispatch.
Four connected tools run the whole loop — from a customer's first message to the right worker getting a text — with the owner simply watching it happen.
A friendly assistant greets each customer and collects the full job detail clearly and consistently.
Every job and team member lives in one place, with live status and complete visibility.
Make connects intake, database, assignment and messaging into one seamless cycle.
The system finds the next available worker and assigns the job automatically.
The assigned worker immediately gets a text with the job details and location.
Each job moves through waiting, in progress and done, visible in real time.
By taking coordination off the owner, the system turned a manual bottleneck into a scalable operation with measurable gains in time, capacity and revenue.
Manual scheduling, assigning and chasing is gone — handing the owner back dozens of hours a month.
Faster dispatch let the same operation take on and complete more work.
The team more than doubled without adding a coordinator.
Every job is captured, assigned and tracked automatically.
Figures from the client's engagement with Pulsar AI.
What used to live in one person's inbox and a string of texts now runs as a self-coordinating system. Every job is captured, assigned, and tracked automatically — so the company more than doubled its crew, grew monthly revenue by around 20%, and freed dozens of hours each month, all without adding a single admin hire.
“We didn't grow by hiring coordinators. We removed the coordination — so the crew could just do the work.”
Book a free automation audit and we'll map exactly where coordination is costing you time and capacity — and what it would take to put your dispatch on autopilot, just like we did for this field-services team.
Identify Growth Bottlenecks30 minutes · Walk away with a clear map of what to fix first, whether you work with us or not.

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