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Understand your options

Build your own AI vs buy an AI platform

Should your team build the technology, or start with a platform that already exists? Compare the work, costs and support each choice needs.

The short answer

By Exemplary AI
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Do we need to build our own AI system?

Build when you need something highly unusual and have a team to develop and maintain it. Buy when an existing platform can do the job and you want to focus on putting it to use. Buying still means agreeing on your requirements and testing the results, but you do not have to create all the underlying technology.

How Exemplary helps

Bring us the problem. We bring the AI platform.

Exemplary brings document reading, company search and AI agents together in one platform. We help set it up around the work you need done, so your team can focus on the outcome instead of building each piece.

Talk to us about your task
  • You choose the task, documents and approval rules.
  • We help configure the platform and test it on your work.
  • For an installation in your own network, we set it up and hand it over to your IT team.
At a glance

What changes for your team?

Scroll across the table to view both approaches.

Build your own AI vs buy an AI platform: what each option means for your team
What mattersBuild it yourselfStart with a platform
Getting startedYour team designs and builds the system.Your team checks the fit, then configures an existing product.
Daily upkeepYou maintain the code and fix problems.The provider maintains its product. Who runs it depends on your hosting choice.
Special requirementsYou can build around them, if you have the skills and budget.Check which needs are included and which require extra work.
What to budget forDevelopment, testing, hosting and ongoing staff time.The platform, setup, hosting and any agreed support.
Choose for your situation

When each approach fits.

Build it yourself

  • The AI itself is a core part of the product you sell.
  • You have people available to maintain it for the long term.

Start with a platform

  • You want to improve an existing business process.
  • You want help with setup and a product you can test before expanding.
An example in everyday work

Start with one recurring task, such as checking invoice details.

Here is an example of how we would approach it together.

  1. 01

    Show us the work

    Bring sample invoices and explain which details your team checks today.

  2. 02

    Let us set up the AI

    We help configure document reading and the checks your process needs.

  3. 03

    Judge the result

    Your team reviews the output and time spent correcting it before deciding to expand.

Buying software should reduce the work of building it.

Ask for a demonstration of your actual task. A polished demo is useful, but it does not show whether the system handles your documents, rules and exceptions. We help turn those requirements into a small trial.

Be clear about who runs it after setup.

Exemplary offers managed cloud, which we operate, and installations in your own environment, which your team operates after handover. Choose the level of ownership that fits your business.

Questions you might have.

Can we use our own documents?

Yes. Exemplary can work with the documents you provide and the systems you choose to connect. We agree on access and setup before testing.

Does buying mean we cannot customize anything?

No. You can configure tasks, connected tools, permissions and approval steps. We check unusual requirements with you before promising a fit.

Which option costs less?

That depends on the task and what you already have. Compare the full cost of building, running and maintaining each option, including your team’s time.

More about these options

These guides explain how to choose an approach. Examples show how a task could work; they are not customer results. The links below explain the capabilities and background behind this guide.

We’re here to help

Bring us the task. Leave the AI setup to us.

Tell us what takes too much time today. We’ll help choose the right approach, set up the AI and test it with your team. You decide what a good result looks like. We help with the technology to get there.

Talk to our team