InfraOps · The execution layer, governed

The layer beneath the layer,
finally connected.

Most teams have a Terraform world, an Ansible world, an ITSM world, and three clouds, each one a quiet kingdom. Cindy sits across all of them: reads the request, writes the change, runs the pipeline, files the record. Nothing ripped out; everything finally in conversation.

cindy · across the layer LIVE
01
Ticket received from ServiceNow
request read, context loaded
PARSED
02
Terraform plan drafted
policy-clean, cost-aware
READY
03
Ansible playbook queued
after your approval
STAGED
04
Policy delta noted
eu-region governance lighter than us
FLAGGED
05
Record back to ITSM
audit trail filed automatically
WAITING

Your infrastructure layer, finally connected.

The pieces that make change — Terraform, Ansible, ITSM, every cloud — held in one connected model.

Zero
drift, caught before the audit
Configuration is watched against what was declared — drift surfaces the moment it happens, so the audit confirms what you already fixed.
“We know we're in line before the auditor asks.”
One
console for the whole estate
Terraform, Ansible, ITSM, and every cloud, governed from one place — no swivel-chair between consoles to make a single change.
“One place. Every change, in view.”
Every
cloud, one control plane
A change made in one cloud is visible to all of them — governance carries across every boundary, so nothing hides in the gaps.
“Every cloud, same rules, no surprises.”

The layer that quietly does the work.

The execution layer underneath everything else (Terraform, Ansible, Puppet, your ITSM, every cloud) has always required manual coordination across tools. Cindy sits across it, so that work stops being manual, and stops being one person's job.

Sits on what you already use

Terraform, Ansible, Puppet, CloudFormation: Cindy works with whichever you already run, no rip-and-replace. Zero migration cost.

Bridge to ITSM

ServiceNow, BMC Remedy, Jira: tickets become validated, executable pipelines. Approve a ticket → Cindy validates → pipeline runs → ticket auto-closes.

Multi-cloud, single conversation

AWS, Azure, GCP, on-prem: one natural-language interface. No swivel-chair between consoles. The same question, the same answer, anywhere.

Governance as code

Policy library defined once, audited continuously, drift auto-remediated across every cloud on approval. The rule lives in one place; enforcement is everywhere.

Drift, across boundaries

When one cloud drifts, Cindy says so and reconciles it on your approval — same shape as a fix anywhere else.

One identity, everywhere

Who can do what, in which environment, today. The answer should not depend on which cloud, or which ITSM ticket, you are asking about.

Outcomes a platform leader measures

Zero
migration cost; sits on what you already run
5+→1
tools collapsed into one conversation
100%
policy coverage, drift auto-remediated on approval
Ticket → governed action
no handoff; the approved request executes
Sits on Ansible, Puppet, and Terraform, whichever you run. The shortest path from capacity insight to infrastructure action.

"Which clusters drifted from baseline?" Across all of them.

A platform lead asks about drift, expecting a per-cloud answer. Cindy gives a single answer across the whole estate, separates the real drift from the false alarms, and proposes one reconciliation step.

cindy · in conversation LIVE
> which clusters drifted from baseline?
[LOOKING] Across every cluster, every region. Most are clean. Two look different from declared.
> both real?
Only one. [FIRST] A European cluster has a few hand-edits that were not made through your usual path; that is the audit-relevant kind. [SECOND] An American one diverged because autoscaling did its job and the baseline is a little behind.
> reconcile.
[STAGED] A change opened for the European one; the baseline refreshed for the American. You approve; the drift resolves on merge. Witness filed.
2
Look different
1
Actually is
0
Surprises
What Cindy saw
european cluster · hand-edits outside the usual pathaudit
american cluster · autoscaling, baseline behindcosmetic
every other cluster · cleanfine
policies applied uniformlyeven
Sovereignty by design
Our own purpose-built LLM, hosted in your data center.
Your data remains yours
Your infrastructure state, tickets, and configs never leave your perimeter.
Zero hallucination
Cindy answers operational questions from your own data, grounded in what is real.
Bring your own tools
Ansible, Puppet, Terraform, your ITSM stay in place. EveryOps sits on top.

What EveryOps gives back.

InfraOps · coordination automated

The coordination EveryOps automates.

Move the dials. Cindy shows how much of your week EveryOps gives back by unifying automation, clouds, and the audit trail.

in your browser
Your shape
Infra automation tools in use
Cloud accounts & projects 25
550200
Infrastructure changes per week 20
530100
ITSM tools you bridge to
Cindy
waiting
RESTING
Hours a week, reconciling your infrastructure layer
0h
Move the dials and Cindy will tell you
Stitching automation tools togetherTerraform here, Ansible there, no shared state
0h
Context-switching across cloudsmoving between accounts that don't talk
0h
Audit trails written N timesone change, three ITSM records
0h
Governance drift, quietly accumulatingthe policy you wrote, applied unevenly
0h
Runs entirely in your browser Private to this session Directional estimate, not a quote

See this run on your operations.

You just watched the scenario. Book a demo and we will point Cindy at a slice of your real stack. You decide nothing until you have seen exactly what Cindy recommends.