under 1s
AI intake triage
Category, priority, owner, and dedup applied to every ticket the moment it lands.
SOC 2 Type II audit in progress · EU, US and India data residency · a DPA you can sign
Trust Center →// solutions / it support automation
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.
AI Diagnostics · SRV-DB-01
3 issues found — one allow-listed fix applied and verified.
derived-data + container cache · 41 GB reclaimable
follows from disk pressure · re-check after fix
scheduled for the next maintenance window
AI Resolution Log
clear-build-cachesverify: disk 61% · swap normal · io wait 2ms
The routine majority of the queue is trivial per ticket and enormous in aggregate. That is the part worth automating.
Routine and repeatable — password resets, VPN, stale caches, printer queues, access requests, slow laptops
Genuinely needs a person — novel failures, judgment calls, anything outside the allow-list
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.
Intake to verified fix, without a human sorting the queue first.
FlowTux runs the whole chain — intake to verified fix — without a human sorting the queue.
Anything outside the allow-list escalates to a human, with the diagnosis already attached.
You decide how much autonomy each category gets, and you can start with none.
Stage 1
Suggest
Tux AI proposes the fix and nothing runs. Compare its calls against your own for a week.
Stage 2
Approve
A technician clicks approve; the fix runs with least privilege and before/after logging.
Stage 3
Auto
Categories the AI has proven itself on run end to end. Everything else still escalates.
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.
under 1s
Category, priority, owner, and dedup applied to every ticket the moment it lands.
live
Tickets arrive with live disk, memory, process, and network context from the agent.
allow-listed
Approved fixes run on the machine, verified, and fully audit-logged.
stage 1
AI proposes, human approves — graduate to full automation category by category.
every fix
Resolved incidents become searchable runbooks, so fixes compound instead of repeating.
$79/mo flat
Automation for the whole company, not priced per technician.
Create your workspace
Free 14-day trial, no card.
Deploy the device agent
Assets and telemetry populate themselves.
Connect intake
Slack, email alias, WhatsApp number.
Watch suggest-only mode
One week of AI calls next to your own.
Approve the allow-list
Auto-resolution on, category by category.
Steps one to three take an afternoon. Step four is deliberately a week — the point is to see the AI’s calls before it acts on them.
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.
Teams running FlowTux typically see around 50% 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.
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.
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.
14-day free Pro trial. Every team up and running the same day.
No credit card. No sales call. No implementation consultant.