AI intake triage
Category, priority, owner, and dedup applied to every ticket in under a second.
// solutions / it support automation
IT support automation that fixes, not just routes
Most IT support automation stops at routing rules and canned replies. FlowTux automates the whole chain: AI reads each ticket, categorizes and prioritizes it, deduplicates it against open issues, assigns the right owner — and for the routine majority, applies and verifies the fix itself, including safe, allow-listed actions run directly on the affected device.
Your IT team stops sorting the queue and starts working only the tickets that genuinely need a human.
tux-agent — audit shell
$ tux resolve TKT-0176 --device MBP-ANA-04
> ticket: "laptop extremely slow since yesterday"
> telemetry: disk 97% full · swap thrashing · 41 GB cache
> diagnosis: derived-data + container cache exhaustion (confidence 0.96)
> fix: clear-build-caches — allow-listed ✓ · reversible ✓
> executing on device… done in 38s
> verify: disk 61% · swap normal · io wait 2ms
> audit log written · requester notified · ticket closed
$ _
Where IT time actually goes
Audit a week of IT tickets and the pattern is always the same: password resets, VPN hiccups, stale caches, printer queues, access requests, "my laptop is slow." Individually trivial; collectively most of the queue. Each one costs a context switch, a lookup, and the same fix applied for the hundredth time.
Automation rules help at the edges — auto-assign by keyword, auto-reply with a KB link — but a human still reads, diagnoses, and executes. That is the part worth automating.
What FlowTux automates
Intake: tickets arrive from Slack, WhatsApp, email, or the device agent and are read by Tux AI on arrival. Triage: category, priority, and owner are set in under a second, with duplicates collapsed semantically. Diagnosis: the device agent supplies live telemetry — disk, memory, processes, network — so the ticket carries evidence, not just a complaint.
Resolution: for categories you approve, FlowTux executes allow-listed fixes on the device — flush DNS, clear cache, restart a service, free disk space — verifies the result, and closes the ticket with a full audit log. Anything outside the allow-list escalates to a human with the diagnosis already attached.
Guardrails first
Every automated action is allow-listed by you, executed with least privilege, logged with before/after state, and reversible where the action supports it. Start in suggest-only mode: FlowTux proposes the fix, a human clicks approve, and you graduate categories to full automation as trust builds. Nothing runs on a device that you have not explicitly permitted.
What you get
Device telemetry
Tickets arrive with live disk, memory, process, and network context from the agent.
On-device fix execution
Allow-listed fixes run on the machine, verified, and fully audit-logged.
Suggest-only mode
AI proposes, human approves — graduate to full automation category by category.
Runbook capture
Resolved incidents become searchable runbooks, so fixes compound instead of repeating.
Flat $99/mo
Automation for the whole company, not priced per technician.
Automate your IT queue this week
- 1.Create your FlowTux workspace (free 14-day trial, no card).
- 2.Deploy the device agent — assets and telemetry auto-populate.
- 3.Connect intake: Slack, email alias, WhatsApp number.
- 4.Review a week of AI triage in suggest-only mode.
- 5.Approve the allow-list and enable auto-resolution for the categories AI gets right.
Related
Frequently asked questions
What is IT support automation?
IT support automation uses software to handle support work that previously needed a person: reading and categorizing tickets, setting priorities, routing to owners, and resolving routine issues. FlowTux covers the full chain, including AI diagnosis from device telemetry and safe, allow-listed fixes executed on the device itself.
How much of an IT queue can be automated?
Teams running FlowTux typically see around 73% of tickets resolve without human sorting — the routine, repetitive majority. The remaining tickets escalate to a human with AI diagnosis already attached, so even the manual work starts further ahead.
Is it safe to let AI run fixes on devices?
FlowTux only executes actions you have explicitly allow-listed, with least-privilege execution, before/after logging, and verification of the result. Most teams start in suggest-only mode and enable full automation per category once the AI has proven itself on that category.
How is this different from an RMM tool?
RMM tools give technicians remote access and scripts to run manually. FlowTux connects the ticket to the action: AI diagnoses from the ticket and telemetry, picks the allow-listed fix, runs it, verifies, and closes — the technician only appears when the automation declines to act.
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