Governed infrastructure delivery

Change infrastructure fast, without taking it on faith.

Your team describes what they need. Intentric turns it into a specific change, already measured against your rules, waiting for a person to approve. Once approved it is applied, confirmed against what was asked for, and kept that way — with a record of every step.

No AI agent ever holds standing write access to your cloud. Access is granted for a single approved job, and it expires with that job.

illustration
request › A highly available Postgres database for our EU customers, 100 GB, under $80 a month
Preparing a change for review…
CreatesManaged Postgres · EU
AvailabilityHighly available
Monthly costWithin your ceiling
Replaces or deletesNothing
✓ Measured against your rules
✓ Spending limit respected
● Waiting on a named approver
Nothing has been applied.
A person approves every changeNot a setting. Destructive changes always require sign-off.
No standing accessNothing holds a permanent key to your cloud account.
Confirmed, not assumedWhat's running is checked against what you asked for.
Yours to keepStandard infrastructure code your team can run without us.
The problem

Knowing what you need was never the hard part.

The distance between a clear requirement and safely running infrastructure is made of process — and that process is where teams lose weeks they never planned for.

01

The request waits

Every change queues behind someone senior enough to judge it. That person is a bottleneck by design, and no amount of goodwill makes them scale.

02

The review is an investigation

Reviewers reconstruct what was intended from what was written. Most changes are routine, but every one of them costs the same expensive attention.

03

The evidence arrives late

When someone asks who approved a change and on what basis, the answer gets assembled afterwards from logs, tickets and memory — if it can be assembled at all.

Generative tooling did not close this gap. It made writing the change faster and left everything after it untouched — so the queue simply moved from authoring to reviewing.

What changes

Four steps, and a person is one of them.

This is the whole shape of it from where your team sits.

01 Describe Someone says what they need in plain language. No vendor tooling to learn first, no module to write by hand.
02 Review It comes back as a specific change — what it creates, what it costs, what it puts at risk — already measured against your rules.
03 Approve A named person authorizes it. Anything destructive requires elevated sign-off, and that requirement cannot be configured away.
04 Verify What is running gets confirmed against what was asked for — then checked again on a schedule, for as long as it exists.
Who this is for

Three teams, one gap.

The pain reads differently depending on where you sit. Find the version that sounds like your week.

Platform engineering

You are the gate, and the gate doesn't scale.

“Every team wants infrastructure, and every request routes through me personally.”

Your standards get applied whether or not you are in the room — so the golden path stops depending on your availability.

For platform teams →
DevOps & infrastructure

Senior review time is going to routine work.

“My best engineers spend the week reviewing changes that all say roughly the same thing.”

Routine changes arrive already checked, so scrutiny concentrates where it actually earns its cost.

For infrastructure teams →
Startup engineering

Production-grade practice, without the headcount.

“I can build infrastructure quickly. I can't defend it in a security review.”

Approval, evidence and verification from the first change — years before you could justify hiring for them.

For small teams →
Control

Nothing reaches production unapproved.

Speed here does not come from removing the check. It comes from the change arriving already checked, so approving it is a decision rather than an investigation.

  • Spending limits and permitted regions are enforced before a human ever looks
  • Anything that would destroy or replace live data requires elevated sign-off
  • A persuasively worded request does not move the boundary — the rules are not something the AI can argue with
  • Automated triggers can propose a change; only a person can authorize one
Proof

“It succeeded” is not the same as “it's correct.”

A change that reports success has told you the request was accepted, not that your infrastructure now matches what you asked for. Those are different claims, and only one of them matters.

  • What is running is checked against what was requested, every time
  • Ongoing checks catch it when reality quietly moves away from your intent
  • When something has drifted, Intentric proposes the correction and waits for a person
  • Who asked, who approved, what changed and what resulted is recorded and exportable

Agents propose. Policy and people dispose.

Intentric guiding principle
No lock-in

Everything we build for you is yours.

Intentric produces standard, inspectable infrastructure code — the same format your team already reads and reviews. You can export it, diff it, commit it, and run it entirely without us.

What you would lose by leaving is the workflow. Not the estate.

Where we actually are

Intentric runs on AWS today. Azure and Google Cloud are on the roadmap and are not shipped — we will not tell you otherwise on a sales call.

We are early, and working with a small number of design partners who want direct influence over what gets built next. That access is real now and will not exist later.

About the design partner program →

Bring us a change you're nervous about.

Tell us what you are running and what you would want under management first. We will reply within one business day and scope it with you properly.