What we do

Cloud infrastructure designed, built and run with AI

Most small and mid-size teams need solid infrastructure but cannot justify a full platform team to build and run it. DoneDeploy designs, builds and operates your cloud with AI doing the drafting, reviewing and watching, and engineers deciding what reaches production. You get infrastructure that is documented, in your own Git, and improved after launch rather than left alone.

From design to implementation, and everything after:

Designthe service, its architecture and costs
Buildinfrastructure and code, reviewed
Rundeployed, secured and watched
Automatepipelines, runbooks and AI
Improvecost, speed and reliability, every month
Talk to an engineer »How it works
The problem

What goes wrong without it

1

Infrastructure nobody fully understands

Resources were created by hand over the years, so every change feels risky and only one person knows how things fit together.

2

Releases that depend on luck

Deployments are manual or half-automated, so a release takes an afternoon and a rollback takes longer.

3

Problems found by customers first

Without useful monitoring, outages and slowdowns are reported by users before the team sees them.

What we do

  • Cloud and infrastructure on AWS, Google Cloud and Azure, designed, built and operated with AI
  • Infrastructure as code, containers, Kubernetes, CI/CD and GitOps, all kept in your Git
  • AI observability: metrics, logs and traces, with AI summarising alerts and incidents
  • AI service design: self-hosted or API-based models put into production with sensible costs
  • Automation with AI, for DevOps tasks and for repetitive business processes
  • Continuous improvement of cost, performance, reliability and security after launch

What you get

  • Infrastructure and pipelines as code in your own Git repositories
  • Architecture documents and a written handover
  • Dashboards and alerts your team can read
  • Runbooks for the incidents and tasks you are likely to face
How it works

From first call to continuous improvement

Free first consultation

We talk through your setup, your goals and where it hurts today, with no charge and no commitment.

Review and fixed-price proposal

We review what you have, with AI helping us read code and configuration, and propose a package with a fixed price and scope.

Build

Engineers build the agreed work, with AI drafting and reviewing changes and every production change approved by a person.

Handover

You get the code, documents and runbooks, and a walkthrough so your team can run it.

Improve after launch

We keep reviewing cost, performance, reliability and security and propose changes as your system grows.

Technologies

What we use

AWSGoogle CloudAzureKubernetesTerraformGitHub ActionsOpenTelemetryGrafana
From the blog

Related articles

AI · November 11, 2026From Idea to AI Feature in Six WeeksHow an AI project runs end to end in six weeks: discovery, design, prototype, infrastructure, rollout, then measuring and improving.AI · November 2, 2026CI/CD for Models and PromptsEvaluation gates, model registries, canary releases and rollback: applying CI/CD discipline to prompts and models in LLM applications.AI · October 15, 2026Automating Business Workflows with AI, SafelyWhere AI fits in business process automation, and how human review, guardrails and audit trails keep automated workflows safe.
All services

What we do

Cloud and infrastructureA cloud setup on AWS, Google Cloud or Azure that your team can runLearn more »Infrastructure as codeEvery server, network and permission defined in code you ownLearn more »Containers and orchestrationContainers and Kubernetes sized for your team, not for a giantLearn more »Configuration managementServers configured the same way, every time, from codeLearn more »CI/CD and GitOpsReleases that are routine, reviewed and easy to roll backLearn more »AI observabilityKnow what is wrong, and why, before your customers tell youLearn more »Data and databasesDatabases that are backed up, tested and ready to growLearn more »AI service designPut AI features into production with predictable cost and controlLearn more »Automation with AIHand repetitive engineering and business work to automation you controlLearn more »After launchInfrastructure that keeps getting cheaper, faster and safer after launchLearn more »AI adoptionHow to start using AI in your company, one practical step at a timeLearn more »Process improvementImprove how work flows, then automate the parts that should not need a personLearn more »Private AIA private, self-hosted LLM in your own cloud or on your own serversLearn more »FinOpsReduce cloud costs without slowing your team downLearn more »DevSecOpsDevSecOps that makes security part of everyday deliveryLearn more »Platform engineeringAn internal developer platform that lets teams ship without waiting on opsLearn more »MigrationMigrate to the cloud or Kubernetes step by step, with a way back at every stageLearn more »
Questions

Frequently asked

What does AI actually do in your work?

AI drafts infrastructure code and pipelines, reviews changes, watches monitoring data and summarises incidents and reports. Engineers check and approve every change before it reaches production.

How is pricing set?

Most work is sold as fixed-price packages with a written scope, agreed after a free first consultation. If something falls outside the scope, we tell you and price it before doing it.

Will we be locked in to DoneDeploy?

No. Everything we build lives in your own cloud accounts and Git repositories, with documents and runbooks, so your team or another provider can take it over.

Tell us what you run and what you want to change. We reply personally, and the first consultation is free.

Let's talk »