Your techs are too expensivefor printer tickets.
GenticFlow handles routine L1 tickets across every client, so your techs spend less time in the queue and more time on billable projects, escalations, and client work. After-hours coverage no longer depends on who is available.
Best fit for fleets of 100+ endpoints. Smaller? Get in touch and we'll see what makes sense.
Sound familiar?
Your best techs are stuck on L1.
Printer tickets, password resets, disk space, Outlook crashes. Every hour your senior techs spend on these is an hour not spent on the work your clients actually pay for.
After-hours staffing has a ceiling.
Overtime, on-call rotations, or an offshore NOC: each adds either cost or quality variance. None of them scale cleanly as your client count grows.
Hiring is slow, turnover is fast.
Training an L1 tech takes months. Losing one takes the institutional knowledge with them. You are always hiring for the role nobody wants to stay in.
More clients means more tickets, not more margin.
Every new client adds to the L1 queue. Growth should improve your margin, not dilute it with more routine work.
The MSPs that win won’t be the ones with the best technicians. They’ll be the ones with the most automated operations.
A printer ticket at 2am.
Your team is asleep. Here is what the AI engineer does.
41 seconds. Your team finds it resolved in the morning.
What changes when the AI engineer joins your team.
Routine L1 closes across every client, 24/7.
Printer, Outlook, Windows Update, VPN, disk, slow performance, services, OS crashes, backup and recovery, and more. Within these issue classes, the AI engineer auto-resolves the routine cases end to end. The harder ones escalate to your team with the investigation already attached.
Most L1 issues never become a ticket.
End users chat with an AI L1 technician you brand as your own service desk - per tenant name, avatar, and company. It runs the diagnostic on the user's endpoint, applies the fix, and confirms it back in the chat. No ticket lands in your queue, your client's end users feel like they're talking to their IT team.
Your techs never start from scratch.
Tickets the AI engineer closes are done. The ones it can't close land on your team already worked up: diagnostics attached, findings written, root cause on the table.
After hours coverage without staffing.
A ticket arrives at 2am. By 2:04am it is closed with a full audit trail. Your team finds it resolved in the morning.
You stay in control.
For workflows, approval policies gate risky commands behind a technician's sign-off. You pick the approvers, whether any, majority, or all must approve, and the timeout. The command executes only after approval.
Every action logged, auditor-ready.
Nothing the AI engineer does is unlogged. The commands it ran, the output it read, the policy that let it act, and the outcome. Auditors and insurers get a cleaner trail than most human teams produce.
Headcount stops scaling with ticket volume.
The AI engineer takes the routine ticket bulk off your team. Your headcount grows with the work that actually needs human judgment, not with every new client's L1 queue.
Works with what you already have.
ConnectWise, Autotask, HaloPSA, Zendesk, ServiceNow, Freshdesk, Freshservice, Jira SM
GenticFlow runs its own agent alongside your existing RMM. No conflict, no replacement.
Deploy via your existing RMM, group policy, or Intune. Lightweight agent with a small endpoint footprint.
Common questions
Can I require a technician's sign-off before the AI engineer runs a risky action?
Yes, inside workflows. You attach an approval policy to a workflow and any command flagged as dangerous pauses and emails the designated approvers. You set whether any one, a majority, or all must sign off, and a timeout. The command runs only after approval.
Do I need to replace my RMM or monitoring tools?
No. Runs its own lightweight agent alongside your RMM. Different job: it investigates and resolves tickets that your RMM and PSA surface.
What happens to tickets the AI engineer cannot close on its own?
They escalate to your team with the investigation attached. The commands the AI engineer ran, the output it read, the findings it produced, and any actions already tried. Your tech starts from a lead, not an empty ticket.
My clients are on different PSAs. Does that work?
Yes. GenticFlow supports ConnectWise, Autotask, HaloPSA, ServiceNow, Zendesk, Freshdesk, Freshservice, and Jira Service Management. Each client company maps to its own PSA provider config, so you can run different ticketing systems for different clients from the same GenticFlow instance.
How do I roll the agent out to thousands of endpoints across my clients?
RMM script push, AD group policy, or Intune. Agent supports Windows, macOS, Linux, and FreeBSD, so mixed fleets get one install path.
See it close a real ticket.
Pick an issue class your team is tired of and we'll run GenticFlow on a live endpoint while you watch.
Want to see how pricing is structured first? See pricing