AI development services: what you get for the money

TL;DR: What do AI development services include? A fair proposal lists a written plan, a scope, designs, working software, the code and IP, testing, launch, handover and fixes after launch. If one of those is missing, ask why. If you can't find it in writing, you probably won't get it.

What do AI development services include?

You've got a quote. It says "AI development services" and a number. But what's in the box?

Here's the thing. The label means different things to different teams. Some sell a full build. Some sell a demo or a block of hours.

A good service gives you nine things, and you should see each one in writing:

1. A written plan
2. A scope for the first version
3. Designs you can click through
4. Working software you can use
5. The code and the IP, owned by you
6. Testing
7. Launch
8. Handover
9. Fixes after launch

Any team offering AI software development should point to each one in the proposal. If they can't, you're not comparing like with like.

A fair AI development proposal names what you receive, not just how many hours it takes. If an item is missing, it is either not included or not yet thought through.

Cost depends on scope, and scoping comes first. This post covers what you should get, not the price.

Why does the deliverables list matter so much?

Because many AI projects go wrong on the basics, not the code.

A RAND report from August 2024 says that by some estimates more than 80% of AI projects fail. That is an estimate RAND cites, not a RAND measurement. RAND interviewed 65 experienced data scientists and engineers. The top root cause was people misunderstanding or miscommunicating the problem the AI needs to solve.

A written plan and scope fix exactly that. They make everyone say the problem out loud before money gets spent.

Gartner forecast that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025. That is a forecast, not a count. Poor data quality and unclear business value were two of the reasons.

A demo is not a product. Make sure your quote buys a product.

What should the plan, scope and designs look like?

These three come first. They are cheap to change. After the build starts, they are not.

The written plan

This is a short document. It says who the software is for, what problem it solves and how you will know it worked. It also covers where the AI fits and what data it needs.

If you can't explain it back to a mate in two minutes, it isn't clear yet.

The scope

The scope is the line around the first version. It lists what's in, and it lists what's out.

The out list matters as much as the in list. It stops a quiet argument six weeks later about who forgot what. For the full story on this step, read our post on the AI software discovery phase.

The designs

Designs should be something you can click. Not a pile of static pictures. You should be able to walk a real user through the main flow before any code is written.

What counts as working software?

Working software runs on a real server. It uses real data. A real person can log in and finish the main job.

A recorded demo does not count. Don't accept "we use AI so it's quick" as a deliverable. Ask for the working software and the date you will see it.

Who owns the code and the IP?

You should. In writing.

This is the line people skip. Then, two years on, they find the code sits in someone else's account. Or the licence says they can only use it while they keep paying.

Check four things:

• You own the code the team writes for you
• The code sits in a repository you control, not theirs
• You hold the hosting, domain and AI account logins
• Third-party and open-source parts are listed, with their licences

One more check. Your software may send personal information to an overseas AI provider. If so, the Australian Privacy Principles apply. Under APP 8, you must take reasonable steps to make sure the overseas recipient doesn't breach them. You can be held accountable for what they do with the data. That is general information, not legal advice. Ask where your data goes.

What testing, launch and handover should you get?

This is where cheap quotes quietly shrink.

Testing

Testing means someone checks the software before you do. Ask what gets tested, who tests it and how you see the results. AI features need extra care, because the same input can give different answers.

Google's DORA research on AI-assisted development (2025, nearly 5,000 technology professionals) found that AI works as an amplifier. It magnifies a team's existing strengths and weaknesses. So ask how the team tests, not just whether it uses AI.

Launch

Launch is more than "it's live". It covers the live server, backups and monitoring, plus a check that the main flow works for a real user. Our AI product launch checklist lists what to look for.

Handover

Handover is how the software becomes yours to run. It includes the code, the logins, a short guide and a walk-through call. We wrote the full list in our post on the AI software handover process.

What is usually not included?

Here's what gets left out, often without anyone saying so. Check each one.

None of these are bad. They only hurt when you find out late.

How do you check a proposal lists all of it?

Put the proposal next to the nine items and tick each one.

1. Find the plan. Is it a named document, with a delivery date?
2. Find the scope. Does it say what is out, not only what is in?
3. Find the designs. Can you click them before the build?
4. Find the working software. Is there a date you see it running?
5. Find the IP clause. Does it say you own the code?
6. Find the testing line. Is it named, or just assumed?
7. Find the launch line. Does it cover the live server and monitoring?
8. Find the handover line. Does it list code, logins and a guide?
9. Find the fix period. Is it a number of days, in writing?

A blank on any line is a question for the team. A slow or vague answer is a signal too. Our post on red flags when hiring an AI agency covers more of them. The buyer's guide to building AI software shows how the whole process fits together.

What does a clear "what you get" list look like?

Here is how Devwiz writes it. We've built 200+ apps since 2015, and we put the list up front.

• Software Plan Workshop: $5,000, credited to a build. You get a written software plan, a clickable prototype and the first-version scope, ready to quote.
• 30-Day Prototype Launch: $18,400. One platform, one core workflow, up to 2 user roles, 1 integration, 2 revision rounds, 30 days of fixes.
• Custom builds: a quote, once the scope is written.

Each line names what you receive, the limits and the fix period. You don't need to buy from us to use that shape. Ask any team to write their offer the same way.

What should you do next?

Take the quote you already have. Tick off the nine items. Send the blanks back to the team as questions.

Want a second pair of eyes? Book a call with us and bring the quote. We'll tell you what's in the box, what's missing and what to ask next.

Frequently asked questions

What do AI development services include?

A good service includes a written plan, a scope, designs, working software, the code and IP, testing, launch, handover and fixes after launch. Ask to see each one named in the proposal.

Do I own the code when an AI development team builds my software?

You should, but only if the contract says so. Check that the code sits in a repository you control, that you hold the logins, and that third-party parts and their licences are listed.

Is a prototype the same as finished software?

No. A prototype shows how something could work. Finished software runs on a live server with real data, and a real person can finish the main job in it. Gartner forecast that at least 30% of generative AI projects would be abandoned after proof of concept, so check which one you are buying.

What is usually left out of an AI development quote?

Fixes after launch, revision rounds, hosting and AI usage bills, third-party tool fees, team training and data clean-up. Ask about each one by name before you sign.

How long should fixes after launch last?

It depends on the build, but it should be a number of days written into the proposal. For example, Devwiz's 30-Day Prototype Launch includes 30 days of fixes. Vague wording like "reasonable support" is a reason to ask.

How do I check an AI development proposal?

Put it next to the nine items: plan, scope, designs, working software, code and IP, testing, launch, handover and fix period. Tick each one. Send any blank back as a question and see how fast the team answers.

Does the price show what is included?

Not by itself. Cost depends on scope, and scoping comes first. Two quotes with the same number can cover very different things, so compare the deliverables lists, not the totals.