Use case · Faster ticket resolution

Stop losing margin to slow, manual ticket handling

Pia resolves high-volume tickets automatically, any hour of the day, with your team in control of the complex work. Technicians spend their time on the tickets that actually need them.
Where the time actually goes

Most of a ticket's life is waiting, not working

That speed comes from removing the waiting, not from working faster. Here is each wait, and what replaces it.

Without Pia

Waiting for details

It arrived missing the details needed.

With Pia

Tickets arrive with the details already captured.

How
Engage →
SmartForms and Pia Chat

Waiting for an owner

No one has worked out whose desk it is.

Tickets arrive classified, so triage stops being a daily job.

Ticket triage →
Classified the moment it lands

Waiting on repeat steps

Steps a technician has run a hundred times.

Predictable requests complete before a technician opens them.

Automations →
Pre-built automations and PiaPacks

Then the actual fix

The one part that needed a person at all.

Your team's time goes to the part that needed a person.

The outcome
Automated, or your team with context

Remove the waiting. Keep the judgment.

By the numbers

Already running at scale

3.5+M Tickets classified every month by Pia's proprietary machine learning model
100+ Pre-built automations, with custom builds for the workflows unique to your stack
3 PSAs it runs natively inside: ConnectWise, Autotask and HaloPSA
An MSP that cut its own rework

We're now solving 15 to 20% of our tickets a month without having to really touch them.

Jon Fitzryk VP of Managed Services and Operations, Diamond IT · Americas

Onboarding misses used to mean
Tickets coming back open
Automation they had to customize
The last 10 to 15%

Questions we get.
Answers that hold up.

On triage, adoption, and what it means for your margins.

How does Pia know which automation to run?

Pia's proprietary machine learning model classifies and stamps incoming tickets the moment they land, matching them to the right pre-built automation. There are no manual triage rules to configure before you go live, though you can build custom logic where you need it.

What if the client didn't provide enough information?
That's what Pia Engage exists to prevent. SmartForms capture every required detail at submission, so the automation has what it needs to run. For conversational requests, Pia Chat gathers the details inside Microsoft Teams. Either way, tickets that arrive complete are tickets that resolve without back-and-forth.
Which tickets does Pia resolve end to end?

High-volume, predictable requests: password resets, account unlocks, license changes, and similar tasks. If your team resolves a ticket the same way every time, it's a strong candidate for full automation. Everything else stays with your technicians, who work with complete context from the start.

Do we need to change our ticket workflows to use this?

No. Pia runs natively inside ConnectWise, Autotask, and HaloPSA, classifying and resolving tickets where they already land. There's no new tool for technicians to learn and nothing to migrate.

What happens to tickets Pia can't fully resolve?

They route to the right technician with the ticket context already gathered, so nobody starts from zero. Pia handles the repeatable mechanics, your team handles the judgment calls.

What's the financial case for faster resolution?
Every minute cut from ticket handling is capacity your team gets back without adding headcount. As your client base grows, faster resolution is what keeps cost per ticket from climbing with it.

See how fast your queue could move

Book a call with our team and find out which tickets you could stop handling manually.