Alert fatigue
Five hundred alerts a day and every one of them needs a human to read it. Your customers turned half of them off, including the ones that mattered.
For GPS tracking & telematics platforms
Everyone sells the dot on the map. Sell what happens next.
Your platform already streams positions, events, and alerts. Kareenos adds agents that decide what an event means and who should do what about it. Telematics data turns into operational outcomes, under your brand.
On-premises · Your infrastructure · Live in 30 minutes
my_locationFleet Watch Agentvan 14 · re-routed around delayETA 11:42
bolt zone entered → check-in task created · route re-optimized in 1.2s
The room your customers are sitting in
The pains your platform records
but can't yet act on.
Events without consequences
Harsh braking, speeding, after-hours use. Recorded forever, acted on never. The safety program is a PDF.
ETAs customers can’t see
The fleet knows where everything is. The customer waiting on the delivery still calls dispatch to ask.
A commoditized market
Every competitor has the same map, the same pings, the same reports. Price is the only differentiator left.
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
Fleet Watch Officer
Reads every telematics event in context: route, schedule, history, driver. Acts on the ones that matter instead of forwarding all of them.
Watches
- Geofence, idle, and speed events
- Route adherence vs. plan
- After-hours vehicle use
Acts
- Filters noise, escalates signal
- Contacts the driver to resolve in-channel
- Briefs the fleet manager on patterns
Digital staff
Driver Safety Officer
Runs the safety program for real: scores behavior, coaches drivers conversationally, and escalates the repeat cases with evidence.
Watches
- Harsh events per driver
- Speeding patterns by route
- Fatigue signals from hours and gaps
Acts
- Sends same-day coaching messages
- Tracks improvement per driver
- Builds the case file for repeat offenders
Digital staff
Arrival Promise Officer
Owns every ETA: watches the plan against live positions and tells customers the truth before they have to ask.
Watches
- Live position vs. scheduled stops
- Traffic and dwell anomalies
- Customer delivery windows
Acts
- Notifies customers of slips proactively
- Re-sequences with dispatch when needed
- Logs on-time performance per customer
Concrete, not conceptual
What a Tuesday looks like
with agents on staff.
Trigger
A refrigerated trailer’s temperature crosses threshold on a Sunday.
Agent
The agent correlates the alert with the load manifest, calls the driver, gets no answer, calls the on-call manager with the trailer location and cargo value, and logs every step.
Outcome
A $60,000 load saved by an agent that didn’t wait for Monday.
Trigger
A vehicle leaves its geofence at 11 p.m. with no scheduled job.
Agent
The agent checks the schedule, messages the assigned driver, gets “my son took the van,” escalates per the customer’s after-hours policy, and files the incident.
Outcome
Unauthorized use surfaced and documented the night it happened.
Trigger
Traffic adds 50 minutes to a delivery route mid-morning.
Agent
The agent recalculates ETAs for the remaining six stops, messages each customer their new window, and flags the one delivery that will breach its SLA to dispatch.
Outcome
Six informed customers, zero inbound calls, one SLA decision made by a human who had time to make it.
Streams in, decisions out
Your telemetry becomes typed intents
Kareenos consumes the event stream your platform already produces (positions, geofences, sensor data) as intents agents subscribe to. Cassandra-backed Live Workbooks handle telematics volume; maps and routing tools are built in.
- Adaptors over your positions, events, and asset data
- Cassandra engine for high-volume time-series
- Built-in maps, geocoding, routing, and distance tools
- Driver and customer channels: SMS, WhatsApp, voice
cable
Read-only adaptors · Your schema · Your infrastructure
The next step
Stop selling dots. Start selling outcomes.
Thirty minutes. We replay a day of your event stream in a sandbox and you watch agents turn it into actions.
What you get: a working Kareenos sandbox configured for your platform, plus the technical deployment spec.