When you reach out to an AI automation agency to automate your business, you may have many questions in your mind. You may also be confused about what is right and what is wrong. You may select an AI agency, but how do you know whether it is the right choice for your business?
Before selecting an AI automation agency, you should check these 10 important questions.
1. What is your experience in our business domain?
Ask the agency about its experience in your specific business domain. Have they worked on similar projects before? For example, if you are from the EdTech or healthcare sector, ask whether they have previously built or automated AI systems for businesses in your industry.
Industry experience can help an agency understand your business requirements, challenges, workflows, and customers more effectively.
2. What is your approach to developing and automating an AI system?
You should clearly understand how the agency plans to develop and automate your AI system. Ask them to explain each step of the process, including the development approach, project timeline, testing, implementation, and deployment. Also ask what will happen if something goes wrong or a problem occurs during development or after deployment. A good agency should have a clear process for handling errors, unexpected problems, and changes in requirements.
3. Who is on your technical team?
Ask about the technical team that will work on your project. You can ask to see the team's qualifications, skills, previous experience, and relevant projects related to AI, software development, automation, and integrations.
You should know who will actually build your system instead of only evaluating the sales or business development team.
4. How will you handle data security and privacy?
Data security and privacy are extremely important when you are giving an agency access to your business data. Ask how they will store, process, transfer, and protect your data. Also ask about access controls, third-party AI services, APIs, and what happens to your data when the project is completed.
You should also understand the potential risks or gray areas if your system uses external AI models, APIs, or third-party platforms.
5. How scalable is the AI automation project?
Your business may start with a small number of users, but what happens when your business grows? Ask the agency how scalable the proposed system is and how easily it can handle more users, more data, and more business processes.
You should also understand what changes or additional infrastructure may be required when you scale the project.
6. What will be the AI model and API cost per user?
AI automation does not only have development costs. There can also be ongoing costs for AI models, APIs, cloud infrastructure, databases, and other third-party services. Ask the agency how much these services could cost per user, per transaction, or per month.
This is an important cost that businesses sometimes overlook. Understanding these expenses early can help you calculate the actual long-term cost of your AI automation project.
7. How will the AI automation integrate with our existing software and CRM?
Most businesses already use software such as CRMs, ERPs, websites, payment systems, databases, or other business tools. Ask the agency how the new AI automation will integrate with your existing software and CRM.
You should understand what APIs, connectors, or custom development will be required and whether the integration will continue to work when your existing software is updated.
8. What training, maintenance, and technical support will we need after launch?
An AI automation project does not necessarily end when the system goes live. Ask what training your employees will need, what maintenance will be required, and what technical support the agency will provide after implementation.
Also ask about ongoing maintenance costs, response times, software updates, AI model changes, and troubleshooting.
9. Will we have complete access to our data and source code?
Before starting the project, clearly discuss ownership and access. Ask whether you will receive access to your data, source code, documentation, configurations, APIs, and other important project assets.
You should also understand whether you are free to maintain or modify the system with another developer or agency in the future. This can help you avoid unnecessary dependency on a single vendor.
10. Is this AI automation idea actually profitable, and what ROI can we expect?
Before investing in AI automation, ask the most important business question: Will this actually create value for the business?
The agency should help you understand the expected benefits, such as reduced operational costs, increased productivity, faster processes, improved customer experience, or increased revenue.
Ask how the expected ROI will be measured and what assumptions the calculation is based on. AI automation should not be implemented simply because it is an AI project. It should solve a real business problem and create measurable value.