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 costs more than you can charge.
24/7 coverage means overtime, on-call rotations, or an offshore NOC with variable quality. None of these scale with your client count.
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.
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.
The AI engineer works alongside your existing RMM and PSA. It connects in minutes and starts closing L1 the same day.
L1 runs itself across all your clients.
Printer, Outlook, Windows Update, VPN, disk, slow performance, services, OS crashes, backup and recovery, and more. The AI engineer handles these issue classes autonomously, 24/7, across every managed endpoint. When a user reaches out directly, routine issues get resolved at the point of report, before a ticket even lands in your queue.
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.
Approval policies define what the AI engineer can do on its own and what needs a human to approve. You write the rules. The AI engineer follows them, per client, per issue class, or per risk tier.
The audit trail your clients want to see.
Nothing the AI engineer does is unlogged. The commands it ran, the output it read, the policy that let it act. Your clients see what it did for them through a white-label portal under your brand. Auditors and insurers get a cleaner trail than most human teams produce.
More clients, same headcount.
The AI engineer scales with your endpoint count, not your payroll. Adding a new client means connecting their PSA and deploying the agent. That is it.
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. Under 10 MB, under 1% CPU.