• Customization: You can reduce overhead costs by building a solution that’s just right for your company, skipping any unnecessary features.
• Flexibility: You know your needs the best. By building your solution, you have the opportunity to create an easily-modifiable tool that can accommodate future needs or ad-hoc requests.
• Controlled Integration: As you have insight into all of your pre-existing processes, tools, and software, you can engineer a solution that fully integrates with all of them.

• Added Expenses: Custom tools are significantly more expensive due to the additional costs. You may need to outsource some of the talent needed to create such a solution, as it can be too much for one internal task force to tackle.
• Time: Building an AI system in-house is often a multi-year process. Sorting through internal information sources and translating info into usable data can be challenging. Plus, factor in the time you spend training and improving your AI models.

Pros:

• Cost Effective: AI vendors are the experts. They already have a dedicated/established team and the knowledge needed to pull off a huge launch — no outsourcing necessary.
• Quick Deployment: Many AI solutions are pre-built, so it may only be a matter of you supplying your data, and having your vendor analyze and configure it to your organization’s needs.
• Consistent System Upgrades: AI vendors are always maintaining and updating their solutions. They also have dedicated customer success teams ready to help answer questions or figure out additional solutions

• Less Opportunity to Customize: This can be a dealbreaker for many, as the solution isn’t built specifically for your organization.
• Less Control: The vendor controls updates and functionalities, so you can’t add features on-demand.