Guide
AI for tier-1 tickets at ISPs and MSPs: what to automate first
Which tickets to hand to AI, which to keep, and how to measure whether it's working.
AI for ISPs, WISPs and MSPs
AI for ISPs and MSPs, built by people who've run them
Outage storms, password resets, "why is my bill higher" calls and 2 a.m. pages. We've lived on the other end of those queues. Here's where AI takes the load, and where a person still picks up.
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Sound familiar?
The tickets that eat your week
Service providers don't run out of work. They run out of people who can answer the same question for the hundredth time and still sound patient.
- Outage storms. One fiber cut or a dead tower radio, and the queue fills with customers asking the same thing while nobody has a free minute to update the status page.
- Tier-1 noise. "Internet is slow," Wi-Fi questions, new-device setups, router reboots and password resets: work a good script could handle, done by your best people.
- Billing calls. Proration after a plan change, a promo that just expired, autopay that failed, and the "why did my bill go up" conversation, again.
- After-hours coverage. On-call techs paged for things that could wait until morning, while the real emergency sits in voicemail.
- Onboarding and offboarding (MSPs). The same checklist of accounts, licenses, mailboxes and devices, worked by hand for every hire and every exit.
- Alert fatigue. Monitoring and RMM alerts nobody reads until something actually breaks.
What we build
Where AI takes the load
Each of these starts small, runs next to your team, and earns its way into more of the queue.
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Outage-aware phone and chat agents
When there's a known outage, callers from the affected area hear it right away, get the next update time from your status source, and can ask for a text when service is back. Everyone else reaches tier-1 faster, because the queue isn't full of the same question.
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Tier-1 ticket triage and resolution
Tickets are classified, enriched with account and device context, and either solved with a script you approved (reboot sequence, Wi-Fi channel change, password reset) or routed to the right queue with a summary a tech can read at a glance.
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Billing questions answered from the bill
"Why is my bill higher?" gets answered with the actual line items from your billing system, proration gets explained in plain language, and disputes reach a person with everything already gathered.
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After-hours answering with real escalation
A phone agent that knows your on-call rules. It logs and schedules the routine, and wakes up on-call only for what your runbook says is urgent.
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Onboarding and offboarding runs
For MSPs: turn a new-hire or exit ticket into a checklist of accounts, licenses and devices, run the steps your tools allow, and hand a person the ones that need eyes.
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Alert summaries people read
Group monitoring alerts into incidents, summarize what changed, and post one readable update to your team channel instead of a wall of notifications.
Integrations
Built into the stack you already run
Nobody wants another dashboard. The work happens inside the tools your team already lives in:
- Ticketing and PSA: ConnectWise, HaloPSA, Autotask, Zendesk, Freshdesk and the like.
- ISP billing and OSS: Sonar, Splynx, Powercode, Visp and similar platforms.
- Phones: your hosted PBX, SIP trunks, Teams Phone, RingCentral or 3CX, with transfers that land in the right queue.
- Status and monitoring: your status page, NMS or RMM as the source of truth for what's actually down.
If a platform has an API or webhooks, we can usually work with it. If it doesn't, we'll tell you on the first call what it would take before promising anything.
Different shops, different first wins
Where ISPs and MSPs usually start
The queues look alike from a distance. Up close, the first workflow worth automating is usually different.
ISPs and WISPs
Volume comes in waves. A quiet Tuesday turns into a full queue the moment a fiber cut, a power outage at a tower site or a bad upstream route takes a neighborhood offline. The first win is usually outage-aware answering: callers in the affected area hear what's known, the queue stays open for everyone else, and your techs keep working the problem instead of the phones.
Close behind it: the "is it me or is it you?" ticket. Check the account, the device status your platform can see and any open outage before a person ever reads it, and a good share of those tickets either answer themselves or arrive at tier-2 with the diagnosis started.
MSPs
Volume is steadier, but it's death by a thousand small tickets: password resets, MFA re-enrollments, shared mailbox access, license changes, new-hire and exit checklists. The first win is usually tier-1 triage with a short list of safe, scripted resolutions, so technicians stop context-switching into five-minute tasks.
The second is the after-hours line. Most overnight calls to an MSP are not emergencies, and the ones that are need to reach on-call fast with the client's name, the affected system and what was already tried.
Proof, not vibes
Measured the way operators measure
Before anything goes live we take a baseline from your own ticketing and phone data. After the pilot, we compare the same numbers.
- First-contact resolution on the tickets the AI touches, and how often they reopen.
- Escalation quality: when tier-2 picks up a ticket, does it already have the account, the device state and what was tried?
- Abandoned calls during outages, and how many callers asked for a text when service came back.
- After-hours pages that turned out to be real emergencies, compared with before.
- Truck rolls that a remote fix or a better first conversation would have avoided.
- Customer satisfaction on AI-handled contacts, tracked separately so a bad bot can't hide in a good average.
Where a person still picks up
Subscribers forgive a slow fix. They don't forgive being trapped in a phone tree. These stay with your team:
- Anyone who asks for a person gets one, without a maze.
- Truck rolls, credits and cancellations are approved by a human.
- No network changes are made by AI on its own.
- Anything that sounds like an emergency, or a critical customer that's down, goes straight to on-call.
How we work
Call, pilot, roll out
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Free 30-minute call
We look at your ticket mix, call patterns and billing questions, and pick the workflow with the clearest payoff.
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Pilot on one queue
One queue, one workflow, measured against your current handle time, first-contact resolution and escalations. A person reviews what the AI does until you trust it.
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Roll out what works
Expand to the next queue or the next hours window only when the pilot pays for itself. Anything that doesn't gets switched off.
Questions
Questions operators ask us
Will this work with our billing system or PSA?
Most ISP billing platforms and PSAs expose an API. We confirm exactly what yours offers on the first call, and we design around what's actually there rather than what a sales page says.
What about subscriber data and CPNI?
Telecom customer data comes with rules, including CPNI obligations for carriers and interconnected VoIP providers. We design flows so the AI sees only what it needs, callers are verified before account details come up, and data stays in tools you've approved.
Can the AI take card payments over the phone?
We don't recommend it. We route payments to the PCI-compliant payment flow you already have, so card numbers never pass through the AI.
We're a small WISP. Is this overkill?
Smaller operators often get the most out of it, because one outage can swamp a small team. We'll start with the single workflow that gives your techs their evenings back.
What happens during a big outage?
That's the point. The agent answers the flood with what's known, takes callback requests, and keeps your people free to fix the network. When the outage clears, it stops mentioning it.
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