AWS Automation That Drafts the Fix, Not Just the Alert
AutoRemedy™ turns a diagnosed issue into a concrete remediation plan — cost, blast radius, and risk included — and RunScribe™ documents what happened automatically once it's resolved.
What is AWS automation done right?
AWS automation usually means one of two things, and both have problems. Either you hand-write scripts and Lambda functions that drift out of sync with reality and become their own maintenance burden, or you adopt a tool that runs changes automatically and hope its judgement is sound at 3 a.m. The first is slow and brittle; the second is a production incident waiting to happen. What teams actually want is the speed of automation with the accountability of a human decision — automation that does the tedious work of drafting and documenting a fix, but never pulls the trigger on its own.
That is exactly what WMIntelliops delivers. When an issue is diagnosed, AutoRemedy™ drafts the precise corrective action — a scale-up, a restart, a config rollback, or an infrastructure change — with blast radius, cost, and a risk score attached. Approved changes execute through your existing Terraform and Ansible tooling rather than a bespoke layer that bypasses your infrastructure-as-code, so your state stays consistent with what you already manage. And the moment an incident closes, RunScribe™ produces a structured runbook and publishes it to Confluence, Notion, or Jira in under 60 seconds.
The gate is the point: 100% of remediation actions require explicit engineer approval before they run. There is no silent auto-apply. Every executed action carries rollback and post-validation, and the full record — what was proposed, who approved it, and what happened — is logged. You get automation you can defend to a change board, built by Workmates, an AWS Premier Tier Services Partner that has run this exact loop against production.
From draft to documented fix
AutoRemedy™ handles the parts of remediation that are tedious and error-prone by hand — drafting the change, executing it safely, and writing it up.
The automation covers the whole lifecycle of a fix except the one part that should stay human: the decision to run it.
Remediation Drafting
AutoRemedy™ proposes the exact fix — scaling, restarts, config rollback, or infrastructure changes — with blast radius and cost noted, so the approver has full context.
Terraform & Ansible Execution
Approved changes run through your existing IaC tooling, not a bespoke automation layer that bypasses it — infrastructure state stays consistent with what you manage.
Auto-Generated Runbooks
RunScribe™ produces a structured runbook the moment an incident closes, published to Confluence, Notion, or Jira in under 60 seconds — so knowledge is captured, not lost.
Automation without blind trust
Fast automation is only valuable if it is also safe. The approval gate and rollback are what make it safe to run against real infrastructure.
Every automated fix is reviewable before it runs and reversible after — the two properties that let teams actually adopt automation in production.
Every Fix Reviewed
100% of remediation actions require explicit engineer approval before they run — there is no silent auto-apply path anywhere in the platform.
Rollback Built In
Every executed action carries rollback capability and post-validation, not just a fire-and-forget script that leaves you guessing whether it worked.
Full Audit Trail
What was proposed, who approved it, and what happened — logged for every automated action, ready for a change review or an audit.
This approach also compounds over time. Because every resolved incident produces a runbook automatically, repeated manual fixes turn into documented, repeatable procedures — and eventually into preventive guardrails. The automation does not just resolve today's incident faster; it captures the knowledge so the next one is even faster, without a senior engineer having to write documentation after every fire.
Where AWS automation pays off
Automation with an approval gate fits the teams that need speed but cannot accept unreviewed change.
IaC-driven teams
Teams already invested in Terraform and Ansible get automation that executes through their existing tooling and respects their state, not around it.
On-call engineers
Instead of writing a remediation from scratch under pressure, on-call approves a drafted fix with blast radius and rollback already worked out.
Compliance-bound orgs
Every automated action carries a proposal, an approver, and a log — the paper trail a change-managed or audited environment requires.
Questions about aws automation
No — approved changes execute through your existing Terraform/Ansible tooling, so infrastructure state stays consistent with what you already manage.
Related capabilities
See a real remediation get drafted and approved
Book a demo to watch AutoRemedy™ work, or start a 7-day free trial on your own account.