Dispatchers drowning
Every schedule change cascades: reassign, reroute, notify the customer, update the ETA. Humans do it badly under pressure; software just watches.
For field service & dispatch platforms
Your customers don’t want a smarter board. They want the board run for them.
Jobs, technicians, routes, paperwork, follow-ups: your platform records all of it. Kareenos adds agents that schedule, dispatch, chase, and follow up on their own, under your brand.
On-premises · Your infrastructure · Live in 30 minutes
smart_toyDispatch Agent online · actingmore_horiz
mic0:10“Stuck on job two. Need 90 more minutes here.”
Understood. Re-sequencing your remaining four jobs and updating every customer with a new window.
task_alt 3 customers notified · zero inbound calls
The room your customers are sitting in
The pains your platform records
but can't yet act on.
Paperwork that never comes back
Job done, work order incomplete. Invoicing waits on photos and signatures that live in a technician’s head.
Customers calling “where’s my tech?”
The answer is in your platform. The customer still has to call a human to get it.
Quotes that die quietly
Estimates sent, never followed up. Revenue leaks because follow-up is a human memory task.
Digital staff for this vertical
Roles your customers hire
through your platform.
Each role is an autonomous agent with a job, an SLA, and an escalation path: sold by you, billed by you, branded as you.
Digital staff
Dispatch Officer
Watches the day unfold and keeps the schedule true: reassigning, rerouting, and notifying everyone affected when reality changes.
Watches
- Job status and delays
- Technician locations and skills
- Cancellations and emergencies
Acts
- Reassigns and resequences jobs
- Updates customers with live ETAs
- Escalates conflicts a human must decide
Digital staff
Paperwork Officer
Makes sure every closed job is actually closeable: photos, signatures, parts, and notes collected before the technician forgets.
Watches
- Jobs marked complete
- Missing photos, forms, signatures
- Parts used vs. recorded
Acts
- Chases technicians conversationally on WhatsApp
- Files everything against the work order
- Clears jobs for same-day invoicing
Digital staff
Revenue Follow-up Officer
Never lets a quote, a maintenance renewal, or an unhappy customer slip. Follows up until there’s an answer.
Watches
- Open estimates and their age
- Service contracts approaching renewal
- Post-job satisfaction signals
Acts
- Follows up on quotes at the right cadence
- Books recurring maintenance proactively
- Flags at-risk accounts to the owner
Concrete, not conceptual
What a Tuesday looks like
with agents on staff.
Trigger
A technician runs 90 minutes late on job two of six.
Agent
The agent sees the GPS gap, re-sequences the remaining jobs, notifies the three affected customers with new windows, and offers the last customer tomorrow’s first slot.
Outcome
Zero inbound “where are you” calls. The dispatcher handled exceptions, not arithmetic.
Trigger
A job is marked complete with no photos and no signature.
Agent
The agent messages the technician before they leave the driveway, collects photos and the signature link, and attaches them to the work order.
Outcome
Invoice goes out the same evening instead of next week.
Trigger
A $14,000 HVAC replacement quote sits unanswered for five days.
Agent
The agent follows up with the customer, answers two routine questions from the quote itself, and books a call with the estimator for the one it can’t.
Outcome
Quote closed instead of forgotten. The owner sees it in the weekly revenue brief.
Built on your data model
Your jobs, your customers, your schema
Kareenos adaptors read your existing jobs, customers, technicians, and schedules. Read-only, generated automatically from your schema. GPS pings and job-status changes become intents your agents act on.
- Read-only adaptors over your existing database and APIs
- Job status, GPS, and form events become typed intents
- WhatsApp, SMS, voice calls, and email for techs and customers
- Routing and distance via built-in maps and GIS tools
cable
Read-only adaptors · Your schema · Your infrastructure
The next step
Demo it against your schema, not our slides.
Thirty minutes. A sandbox with your data model, a delayed technician, and an agent that fixes the day in front of you.
What you get: a working Kareenos sandbox configured for your platform, plus the technical deployment spec.