Incident triage
Turns an incoming alert into one case with an owner, a severity and a first decision, so response starts while the detail is still arriving.
No ready-made setup for this job yet.
Describe the job in a sentence, the way you would brief a colleague: when it should happen, what to check, and what to hand you. That sentence is the automation.
The job, and what good looks like.
When several consoles notice the same thing, the response splits into a handful of half-worked alerts and nobody can say how long the organization actually took to act. This workflow opens one case at the first alert, pulls the related alerts onto the same timeline, and attaches the relevant telemetry before the retention window closes, so the early evidence is the evidence that gets read. It scores severity from the affected asset and the account involved rather than from the wording of the alert, names one responder, and starts the response clock at detection instead of at acknowledgement. Low-confidence alerts that meet a written threshold close automatically with the reason recorded, which is what stops the queue filling with noise. Everything else routes to the on-call schedule with escalation timers already running, and any step that touches an endpoint, an identity or a customer account is put to a responder for approval. A human still decides whether an incident is genuinely finished, whether containment should go further, and when an incident is serious enough to bring in a wider audience.
When it is handled
- One case per incident, not per alert
- Severity settled inside fifteen minutes
- Time to first decision recorded
- Escalation driven by the clock
Works with tools like
- TheHive
- PagerDuty
- Microsoft Sentinel
- Splunk SOAR
- CrowdStrike Falcon
You stay in charge.
At every step.
It triages and sweeps. People approve every change.
- No change without approval
Blocking, revoking and purging wait for an analyst's OK.
- Every run on the record
What it read, what it did and what it is waiting on, kept for review and audit.
- Scoped per automation
Each automation gets only the access you grant it, and a local model can keep processing on your machine.
Before you download.
- Where does it run?
- On your Mac or Windows computer, in the background. It keeps working after you close its window, and only reaches the folders and apps you connect for each automation.
- How does it connect to our CRM and other tools?
- Through each app's own connection where it offers one, signed in once by you, or by using the app in a browser the way you would. Each automation gets only the connections you give it, and the tools a page names are examples you can swap for your own.
- Does it run when my computer is asleep?
- It keeps your computer awake while a job runs and just before a scheduled one. While the computer is closed or off, nothing runs; when it wakes, it checks the inbox, calendar and other sources it watches for anything that arrived meanwhile.
- How does my team use it?
- Each person who runs automations installs the app. Keep a project in a shared folder, such as Google Drive or a network drive, and teammates can open it and follow every run, while one person owns it and runs it.
- Do I need anyone technical to set it up?
- No. Download the app, add an automation in plain words, and connect only what that job needs. Nothing runs until you switch it on.
Already have tools for this? Here is the difference.
Scripts and scheduled jobs
Precise, repeatable system tasks.
They break on the unexpected, and only their author can read or change them.
Security automation platforms
High-volume response playbooks in large teams.
They need a project to set up and an engineer to maintain each playbook.
AI chat assistants
Explaining an alert when you paste it in.
Nothing runs on schedule, and there is no scoped access or record of what was done.
AUTOMATE.md
Your routine, written in plain words. It runs on its own, follows your rules, handles the exceptions a flowchart can't, and asks you when it matters. The file stays yours, whichever AI model runs it.
Start with one job.
Make it your own.
macOS — coming soon- 1
Get the app
It runs on your computer, next to your files.
- 2
Add the automation
Paste the instructions into the app, or save them as a file next to your work.
- 3
Try it, then turn it on
Run it once and check the result. It only runs on its own once you switch it on.