AI made. Professional grade.

Your idea works.
Let's make it work in the real world.

ACDJP brings Azure expertise to assess and build out AI-created apps. Keep your progress. Prepare for production.

Production reviewHuman-led

The bits
underneath.

A working demo is the top layer.

Access & dataWho can see what?

Sign-in, permissions, secrets, and the customer data that should stay customer data.

Reliability & recoveryWhat happens when it breaks?

Failures, backups, monitoring, and a way back when a release has other plans.

Releases & infrastructureCan you ship it again?

Repeatable deployments, sensible Azure foundations, and fewer things held together by memory.

Code & cloud costsCan the next person live with it?

Maintainable code, understandable architecture, and a cloud bill that is not a plot twist.

Better questions. Before bigger problems.
Illustrative review topics. Not an assessment of your app.

“It works on my laptop.”

A milestone. Not a deployment strategy.

Keep the idea.
Lose the guesswork.

A rewrite is not the default. We assess what you have, keep what works, and agree what needs attention.

Assessment

A clear picture.

Understand the app you have and what it needs for production. Know what to tackle first, and why.

  • Production risks, in plain language
  • Useful foundations and fragile shortcuts
  • Priorities with clear trade-offs

Build-out

A stronger application.

Put the agreed plan into practice, with Azure expertise focused on the parts that need engineering.

  • The right cloud foundation
  • Repeatable releases and recovery
  • Code that is easier to maintain

Start with the gaps you need to understand or the work you already know you need. We agree the scope with you.

What our reasoning looks like

Illustrative example. Not client work or a finding about your app.

Situation
A prototype hides the delete button from non-admins, but the server does not check that permission.
Risk
Someone could still ask the server to delete data directly. A hidden button is not an access rule.
Change
Check permissions on the server for every deletion, and test that unauthorized requests are rejected. Keep the useful interface.
Trade-off
Permission rules need to stay current as roles change. That is work to plan for, not a reason to rewrite the whole app.

Less hand-waving.
More handover.

A plan you can understand. Not a second consulting engagement to explain the first.

  1. Understand the idea.

    Your users, your goals, and what needs to happen next.

  2. Review the application.

    Check the code and production risks. Keep what works.

  3. Agree on priorities.

    Make the trade-offs clear. Set the scope before the build.

  4. Build and hand over.

    Implement the agreed changes with deployment, recovery, and maintainers in mind.

We've met
production.
It has notes.

50+ years of combined Azure experience.

  • Al
  • Cameron
  • Danny
  • Joe
  • Prosenjit

We focus on access, reliable releases, recovery, and cloud costs. Not glamorous. Rather important when customers show up.

Pragmatic engineering. Healthy skepticism.

Fair questions.

No cloud dictionary required.

Is AI-built code the problem?

AI can be a useful way to get an idea off the ground. Production adds responsibilities: protecting data, handling failure, and shipping changes. We assess the application, not how many prompts it took to build.

Do I need to understand Azure?

You do not need to become a cloud engineer. Bring the application and your goals. We explain the choices in terms of risk, cost, and how easily the app can be maintained.

Do we start with an assessment or a build?

If the production gaps are unclear, start with an assessment. If you already have a defined need, we can discuss a build-out. Neither path automatically commits you to the other.

Is this only for funded startups?

No. Funding can make production readiness more pressing, but the service is for founders moving an AI-built idea toward real use.

A closer look.
When you're ready.

A first conversation starts with your app and its next challenge. Online requests are not open yet; the preview shows the details we would ask for.

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