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How Helm Works

Helm’s workflow is designed around one principle: from ticket to resolution in a single interface.

Every ticket in Helm generates a session link. Click it, and you’re in — a browser-based session opens with everything you need:

  1. The ticket context — title, description, history, all pulled from your PSA
  2. The device context — alerts, specs, event logs, pulled from your RMM
  3. An AI copilot — ready to diagnose, suggest, and execute on your command

No separate remote desktop login. No tab-switching. No copy-pasting between tools. One click. One screen.

No matter how a ticket enters the system, the workflow is the same:

Entry PointWhat Happens
End user clicks the Help Desk iconThe agent on their machine captures the problem + machine context, creates a ticket in your PSA, and AI begins triage before a technician sees it
End user sends an emailYour PSA receives the email. Helm watches the queue, enriches the ticket with device data from your RMM, and AI begins triage
Technician creates a ticketThe moment the ticket exists in the PSA, Helm picks it up — context pulled, investigation started, suggestions ready
RMM alert firesAlert creates a ticket automatically. AI triages, auto-resolves or queues for technician review

When a technician clicks that session link, here’s what happens:

A browser-based session opens. No software to install. No VPN to configure. Just click and connect.

The AI has already pulled context before you type a word:

  • Open ticket from your PSA (title, description, history)
  • Recent alerts from your RMM (disk health, performance, errors)
  • Device details (specs, OS version, last reboot)

Describe the problem in plain English. The AI generates the right diagnostic commands, runs them on the endpoint, and explains what it found.

“Why is this machine slow?” → The AI checks event logs, CPU usage, disk health, running processes — and tells you the answer.

Tell the AI what to do. It generates the fix, runs it, and confirms the result. Software installs, service restarts, registry changes — all through natural language.

“Restart the print spooler and clear the temp folder.” → Done.

The AI writes a plain-language summary of what it found and what it did, then posts it as a time entry to your PSA ticket automatically. Your techs never write another note.

Helm’s AI is a copilot, not autopilot. Here’s what that means:

  • Natural language to commands — describe what you want, the AI generates and runs it
  • Visual output blocks — every command and its output is grouped so you can track what happened
  • Active error explanation — when a command fails, the AI explains why and suggests the fix
  • Full context — the AI sees the device, the ticket, the user’s M365 account, and the RMM history
  • You’re in control — AI suggests, you approve. Always.

When you trust the system, flip the toggle. AI acts autonomously at Tier 1–3 — triaging alerts, connecting to endpoints, diagnosing issues, and resolving them. It only escalates to a human when it can’t self-resolve.

Same platform, same agent, same infrastructure. Configuration change only.

Every Helm session runs in the browser. No software installed on your technicians’ machines.

  • Ephemeral — when the session ends, the environment is destroyed. Nothing persists.
  • Zero persistence — no cached credentials, no saved files, no residual data.
  • Compliance built in — every session is identical, isolated, and auditable.
  • Works from anywhere — laptop, tablet, hotel WiFi. Just a browser.

Pro and Enterprise customers supply their own LLM API key (OpenRouter, Anthropic, OpenAI, or compatible). Helm routes requests through your key — we never see your AI traffic, never mark up your compute costs, and you choose the model.

Most MSPs spend $5–15/tech/month on AI compute. Compare that to Atera’s $95/tech/month add-on.


Quick Start Guide → | Pricing →