Your infrastructure.
Your guardrails.
Your AI support team.
RunAIPilot builds AI agents that act as your 24/7 Level-1 MSP — they answer infrastructure requests in Slack, provision storage, and run routine ops, while every action stays approval-gated and fully audited.
Live in your environment in 30 days — or the build is free.
Your best engineers are doing $20 work.
The queue never ends
“Create a volume.” “What’s our capacity?” “Map this host.” Routine, repetitive — and it lands on your most expensive people, all day.
And the fixes don’t fix it
Offshore L1 is slow and lacks context. Hiring is months and six figures. So the queue grows and senior engineers burn out on tickets a script could close.
From request to resolved — in 30 days.
Find the safe wins
We map which L1 requests are safe to automate, and the ROI of doing it — a clear, no-obligation report.
Your agent, your turf
A done-for-you agent in your Slack/Teams, on your appliance, using your keys. Live in 30 days.
We run it for you
New runbooks, new vendors, tuning, and security hardening — ongoing managed agent-ops.
This isn’t a concept.
RunAIPilot agents are administering production enterprise infrastructure today — VMware, Pure Storage, Hitachi, IBM Storwize, NetApp, Isilon, HPE 3PAR, and Brocade SAN fabrics — handling requests from a single Slack message. Every destructive action requires a signed, human-clicked approval. Every action is written to an immutable audit trail.
VMware · Pure Storage · Hitachi · IBM Storwize · NetApp · Isilon · HPE 3PAR · Brocade
It already works. We’ll build yours.
Autonomy you can actually trust.
Human-in-the-loop
Destructive actions are blocked in code until a person clicks Approve.
Hardened in code
Signed approval tokens, secret-scrubbing, locked-down tool allow-list. Not prompt rules — code.
Audit-ready by default
Every action and its reasoning, SIEM-ready and immutable.
Protected resources
Hosts the agent must never touch — enforced, not suggested.
Your data stays put
On-prem appliance, your own API keys, outbound-only — no inbound exposure.
Least privilege
Scoped credentials, read/write split, explicit protection flags for anything that changes state.
Priced to replace a team, not a tool.
See exactly which tickets an agent can take over this quarter — and what it’s worth. No obligation.
Book the AuditA four-agent team — orchestrator, compute, switch, storage — live in 30 days. Hardened, audited, and managed for you.
Start with an Audit →A multi-vendor agent fleet across your estate, with SLAs and full managed agent-ops.
Talk to us| Same coverage | What it costs |
|---|---|
| In-house L1 team — compute, network, storage (business hours only) | $7–14k / mo per hire |
| ~100-server / 10-device estate, fully MSP-managed | ≈ $26k / mo |
| L1 Autopilot Liftoff — 4-agent team, 24/7 | $20k once + $3k/mo → $56k year one |
Live in 30 days, or the build is free.
Your first agent resolves real requests inside a month — or you owe nothing for the build. We onboard 3 new infrastructure teams per quarter.
Curious about L1 Autopilot?
Will the AI do something destructive on its own?
No. Destructive actions are blocked in code until an authorized person clicks Approve. The agent can propose; only a human releases the action. Protected resources can never be touched.
Does our data leave the building?
No. The agent runs on an on-prem appliance with your own API keys, outbound-only. Nothing inbound is exposed.
How do we stay audit / compliance-ready?
Every action, its inputs, and its reasoning are written to an immutable, SIEM-ready audit log by default.
What about prompt injection?
The agent is hardened in code against prompt injection and privilege escalation — enforcement lives in the runtime, not in prompts.
We have no AI expertise. Is that a problem?
No. This is done-for-you: we audit, build, harden, and manage the agent. Your team just approves actions in Slack.
Book your free L1 Automation Audit.
In 30 minutes we’ll show you which of your Level-1 tickets an AI agent can safely take over this quarter — and what it’s worth.
Open the scheduler →