In-House vs Outsourcing AI development

We have recently discussed the topic of an in-house vs outsource team for building third-party API integrations

But in this article we propose you look closer at building an in-house vs outsource team for AI development projects in your company.


AI development: general information


Building smart machines that can do things by themselves is what AI development is all about. It's used in healthcare, finance, and logistics industries to help improve customer service and make things run smoother.

Believe it or not, people have been working on AI since the 1950s! But it's only recently that companies have been able to use it for commercial aims. More and more businesses are hiring AI experts to automate tasks and improve decisions using all the data they have.

To implement this, you'll need specialists who are excellent with data and can build these special AI programs. Companies can either hire their own AI team or outsource, depending on the budget.


In-house vs outsourcing: what should the company take into account?


Here are the key questions you need to ask when choosing between in-house and outsourcing development:

What are the main areas of work you want the AI to do?

What are the core goals for the future AI development projects?

How much money can you spend on this?


Pros and cons of in-house AI development


The main benefits are:

  • Customization

You can design the AI project to perfectly fit your company's needs.

  • Localization

The in-house team will perfectly fit the culture and knows how you operate.


The disadvantages of building in-house AI team are:

  • Hard to find the right team

AI and ML specialists are in high demand, so hiring real professionals is not becoming easier. 

  • Costs more than just salaries 

To develop the AI project from scratch for your own business you need infrastructure, as well as data. 

  • Time consuming

Scheduling the AI project can be tricky. By the time your in-house team finishes it, the data might become outdated.


Why is it important for companies to invest in AI now?


While some companies still doubt whether to implement AI, or not - the benefits are becoming too obvious to ignore. For those looking to stay on track, investing in AI for product development is a step forward.


✔️ You will understand your customer better

✔️ You will make business processes easier and faster

✔️ You will structure data and make analytics more advanced

✔️ You can improve sales and marketing strategies


Pros and cons of outsource AI development


Working with an AI development services provider like Patternica gives you access to a larger pool of talented AI and ML specialists at lower costs, which can help implement new technologies quickly and efficiently. We can share our own approach on how to build a tech team for your company


  • Collaboration with wider pool of AI experts

Outsourcing with our company offers a solution that provides access to experienced and professional teams without the costs like with hiring in-house staff. 


  • Saving your money

One of the most obvious advantages of outsourcing is the possibility of significant cost savings by using the services of other countries where labor costs are lower but quality remains high.


Disadvantages of outsource team for AI projects


There are no obvious drawbacks to building such a team. But before you hire outsourced specialists, let’s examine together the following questions:


  • How professional is the outsourced team?

You can check the AI team's experience and past projects, and consider risk management strategies.


  • Are you satisfied with the team's portfolio & experience?

Together we can look through the team's work, which should include relevant industry projects and innovative solutions.


  • Is the team focused on core technologies?

The best way to implement AI for development projects in your daily work is to work with an AI agency specializing in big data and ML.


  • What is the main goal of the agency?

To meet your needs or payment deadlines?


What Is the difference between outsourcing and in-house AI development?


Building your in-house AI team works perfectly well for large, long-term projects that are changing according to your needs. 


Outsourcing AI teams, on the other hand, is cost saving for your company. Because you can partner with the companies that already have AI experts. That is a good option for most projects with set goals from the start.


Why outsourcing with Patternica?


If after reading this article, you still have questions, the Patternica team will help you select highly qualified specialists or offer IT outsourcing.  


Every project is unique, as well as every company's request. So we strive to offer the best possible win-win cooperation.

  • #cost-effective IT solutions
  • #development
  • #product development
  • #outsourcing
  • #business growth
  • #AI
  • #outsourcing provider
  • #outsourcing software development
  • #outsourced developers
  • #IT support
  • #outsourcing benefits
  • #technology
  • #IT provider
  • #cost-saving initiatives
  • #IT budget planning
  • #AI integration
  • #in-house development