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AI-powered infrastructure automation

Infrastructure Automation, Without the Operational Complexity.

From support tickets to cloud provisioning and backup operations, StackHeal helps you automate the work behind modern infrastructure — so your team can move faster, deliver better service, and scale with confidence.

Every automated action is scoped, approvable and verified — see how the controls work.

Automation runrun_4821

Verified
01Request
Ticket #10482

“Disk usage warning on web-07 — site is slowing down.”

Source
Service desk
Asset
web-07 · AMS-1
Intent
Capacity issue
02Approved workflow

Reclaim disk space

wf.disk_reclaim.v3

  • Gather context and metrics
  • Policy and permission check
  • Rotate logs, purge temp cache

Scoped to approved actions

03Verified outcome

61%

94%

Disk usage after run · 42 GB reclaimed

  • Result re-checked against threshold
  • Ticket updated and closed
  • No engineer touched a console
Illustrative example of a StackHeal run. Values shown are sample data.

Connects to the tools you run

  • Proxmox VE
  • VMware vSphere
  • Zabbix
  • Prometheus
  • WHMCS
  • Jira Service Management
  • Ansible
  • REST + webhooks
All integrations

The platform

One Platform. Connected Operations.

Support requests, infrastructure resources, monitoring signals, automation workflows and verification all meet in one place — instead of being stitched together by people moving between consoles.

StackHeal

Connects every system below

  • Customer supportTickets and requests
  • Infrastructure resourcesHypervisors, clouds, servers
  • Monitoring and alertsMetrics, alerts, incidents
  • Automation workflowsPlaybooks and approvals
  • Verification and visibilityOutcome checks and audit trail

Fewer disconnected processes

The handoffs between support, infrastructure and monitoring stop being manual relays and become steps in a single run.

Better visibility

One run history answers what happened, on which asset, under whose approval, and whether the outcome was verified.

More consistent execution

The same workflow definition runs the same way across shifts, sites, tenants and platforms.

How it works

From Request to Resolution. With Less Manual Work.

One real workflow, stage by stage. Each step is observable, and each step can be configured to stop and ask a person.

Step 1 of 5

A request arrives

A customer or colleague submits a ticket describing a symptom, in their own words. Nothing about the request is structured yet.

What exists at this stage

Ticket
#10482
Body
“Disk usage warning on web-07 — site is slowing down.”
Source
Service desk webhook

Illustrative values from a sample run.

AI in operations

Put AI to Work on Real Infrastructure Challenges.

StackHeal uses AI where interpretation genuinely helps — reading an operational request, understanding its context, assisting a diagnosis, matching a runbook. What it does not do is decide what is permitted.

Interpretation proposes. Policy permits.

Permission, scope and blast radius are evaluated in code against a registered action catalogue — not inferred by a model. Sensitive operations can require an approval before anything runs.

  1. 01

    Support requests that trigger relevant workflows

    A request written in prose is classified into your own operational taxonomy, resolved to a specific asset, and matched to the workflow you have approved for it.

    Interpretation proposes. Policy permits.

  2. 02

    Infrastructure alerts that start a guided investigation

    Related signals are correlated into one incident, the read-only checks a first responder would run are executed, and the pattern is matched against your runbooks and past incidents.

    Diagnostics are read-only by default.

  3. 03

    Provisioning requests that follow standard policy

    An order or ticket is normalised into a specification, checked against entitlement and quota rules, and built from an approved template with verification afterwards.

    Only registered templates and sizes are selectable.

Registered actions only

Workflows compose from an action catalogue you control. There is no general-purpose shell for a model to reach for, and it cannot introduce a new capability at run time.

Permission decided in code

Whether an action may run on an asset is a deterministic policy evaluation, not model output. Scope, tenant and environment are resolved outside the model's influence.

Approvals where risk warrants them

Sensitive operations pause for a named approver, who sees the resolved asset set and the exact parameters before deciding.

Verified, or escalated

Outcomes are asserted against measured state. A run that cannot verify itself escalates with its findings instead of reporting success.

Why StackHeal

Simpler Operations. More Room to Grow.

No invented savings percentages. These are the four things teams consistently report after the first few workflows are running.

Reduce manual work

Spend less time on the repetitive operational tasks that make up most of a queue — and keep your engineers on the problems that actually need them.

Deliver faster

Standardise the path from request to completion so work moves at the same pace regardless of who is on shift or how deep the queue is.

Improve visibility

See what ran, what it touched, who approved it, whether it was verified, and what failed — from one run history rather than four consoles.

Scale confidently

Reuse the same workflow definitions as you add customers, sites and platforms, with per-tenant policy instead of per-tenant procedures.

Integrations

Works With the Tools Behind Your Infrastructure.

StackHeal is the layer between the systems that generate operational work and the systems that do it. Both sides connect through maintained connectors or through APIs and webhooks.

On connector status: the directory labels every system as a native connector, a beta connector, API-based, or planned. We do not imply a working native connector exists for every product named — check the label, and ask us if a specific one matters to your plan.

Resources

Learn How Teams Automate Operations.

Practical guides written for the people doing the work — how to scope a first automation, structure provisioning, make backups verifiable, and use AI in operations without handing it the keys.

Backup

Building reliable backup operations

Reconciliation, retry policy, retention and restore testing — the four things that separate backup coverage from backup confidence.

10 min read

Ready to Simplify Your Infrastructure Operations?

Discover how StackHeal can help your team connect systems, automate repetitive work, and deliver infrastructure services more efficiently.