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AI production deployment

I take AI applications from a developer's laptop to a secure, running cloud system. I write the AWS or Azure infrastructure as code, package the app in containers, automate deployments with no stored passwords and hand over documentation your team can run. I don't hand over a demo; I hand over a running system.

What you get

  • Infrastructure written as code. The cloud environment on AWS or Azure is code, with Terraform on AWS, so it can be reviewed, repeated and changed safely.
  • Containers and automated deployments. Every change goes out through a pipeline with no stored passwords or long-lived cloud keys.
  • Secrets handled securely. Credentials are kept out of the code and out of the pipeline.
  • Load testing and handover. The system is tested under load, and your team gets the guides to run it.

Where this has shipped

  • An enterprise HR and payroll platform. On a three-person team I owned the cloud, deployments and payroll work: an HCM ERP deployed to AWS with Terraform, with the cloud plan adapted three times in one week and a secure, cloud-hosted product in about eleven days.
  • NextMovePath. I set up the AWS environment as code with Terraform, then we right-sized it for the stage and budget. NextMovePath's AI strategy reports launched eight days after work began.
  • AgentlyLeads. On the CS2 Technologies team I worked on AgentlyLeads from local development to production on AWS.

Where it starts

Deployment is the last step of every platform I build, not a separate handoff. If the system does not exist yet, start with AI platform development.

Case studies

  • CS2 Technologies productLive

    NextMovePath: An AI Strategy Engine for Canadian Immigration

    A live platform that turns a person's Canadian immigration profile into a personalised AI strategy report. Accurate calculations provide the facts, AI plans the strategy, and the report arrives live and as a PDF.

    Immigration

  • An enterprise HR-services companyDelivered

    HR and Payroll Platform: From Build to Secure Cloud in 11 Days

    A full HR and payroll platform with an AI HR assistant, taken from a blank start to a secure, cloud-hosted product the client could test in about eleven days, through three changes of cloud plan.

    HR technology · NDA

  • An AI phone agent company serving small businessesLive

    AI Lead Discovery on Reddit, With a Person Approving Every Reply

    An AI system that reads 56 Reddit communities for small business owners with real problems, drafts a helpful reply in the founder's voice, and sends it to Slack for a person to approve.

    AI voice and customer service · NDA

AI production deployment · FAQ

Questions people ask first.

How fast can you get an AI product to production?

It depends on the system. An enterprise HR and payroll platform went from build to a secure, cloud-hosted product in about eleven days, and NextMovePath launched eight days after work began.

Which clouds do you deploy to?

AWS and Azure. Enterprise platforms for clients in the UAE run on Azure; NextMovePath, AgentlyLeads and the HR and payroll platform run on AWS.

Do you use Kubernetes?

Yes. I work with Docker and Kubernetes, and AgentlyLeads runs as containers on AWS ECS Fargate.

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