Key Takeaways
- Artificial Intelligence is transforming the way businesses run their operations and analyse data.
- Asking questions about the development company’s experience, technicalities, process, data security, integration, cost, scalability and long term support will help you decide if they can provide a realistic, secure and sustainable AI solution.
- Developing AI solutions has many steps involved such as preparing data, choosing the right model, testing, integrating and deploying.
- How much experience do you have with similar projects?
Choosing the right AI development partner
Artificial Intelligence is transforming the way businesses run their operations and analyse data. It can provide solutions for businesses by automating repetitive tasks and creating predictive systems. However, having the right development partner is key to ensuring your AI project is successful.
Choosing the right AI development partner is a key element of any business. Asking questions about technicalities, communication, cost and long term support will give you a clear picture of what the company can offer.
Quick Answer:
Asking questions about the development company’s experience, technicalities, process, data security, integration, cost, scalability and long term support will help you decide if they can provide a realistic, secure and sustainable AI solution.
Why choosing the right development partner matters:
Developing AI solutions has many steps involved such as preparing data, choosing the right model, testing, integrating and deploying.
The development partner should understand your business requirements so they can recommend the best technology for you. For example, if your business is looking to automate customer support they may need to use conversational AI. Whereas if they want to analyse large datasets, they might need predictive analytics.
If you don’t consider your requirements when choosing a partner you could face unclear goals, unexpected costs, integration issues and an ineffective solution.
A reputable partner should be able to tell you:
- What the AI solution will solve for your business?
- Which technologies would work best for your project?
- What data and infrastructure will be needed?
- How performance will be measured?
- How the solution will be maintained?
8 Questions to ask:
- How much experience do you have with similar projects?
It is important to consider how much experience the company has with similar projects. Whilst having general software development knowledge is helpful, it is also important they have knowledge around data processing, machine learning, automation and deployment.
They should be able to provide examples of past projects. Ask them to explain the challenges they faced, the technology they used and the outcome.
If you are looking for an AI recommendation system, ask them if they have worked with recommendation engines, user behaviour data or personalising content.
- Have they developed any solutions for our industry?
- Can you tell me about a similar project?
- What challenges did you face?
- Can you provide any quantifiable results or references?
Try to find a partner who can provide real examples. A reputable partner should be able to explain how their solution meets a business requirement.
2. What technologies and processes do you use?
There are many different technologies involved with AI such as machine learning, natural language processing, computer vision, generative AI, predictive analytics and intelligent automation. Depending on your requirements, the development company should recommend the best approach.
A reputable AI development company should be able to recommend the best approach based on your requirements.
- Customer Support Automation – Conversational AI
- Recommendations – Machine Learning
- Images/Videos – Computer Vision
- Forecasting – Predictive Analytics
- Document Processing – OCR and Natural Language Processing
- Content Generation – Generative AI
Ask them why they recommend a certain model, framework or platform. They should be able to explain why it would be beneficial, limitations and alternatives.
You can look into MatchBest’s AI and technology solutions.
3. How will you understand our requirements?
Having a clear goal for your AI project is key. The development team should understand your goals, current processes and what you want the solution to achieve.
Ask if they will carry out discovery sessions, look at current systems, understand data requirements and set clear goals.
If you are looking to automate your invoicing process, they should look into your current process, document types, approval process and common errors. This will help them decide if document recognition or data extraction would be the best approach.
Find a partner who can:
- Understand the problem you are facing.
- Set realistic goals.
- Understand current software and processes.
- Assess data availability and quality.
- Set performance indicators.
A structured discovery process will ensure you won’t end up with a solution that doesn’t meet your needs.
4. How do you handle data security?
As AI solutions may use customer data, business documentation, transaction data and more, it is important to understand how data will be protected.
Ask how they collect, store, process and protect data. Find out who will have access, where data will be stored and if they will use any third party services.
Important questions to ask:
- How will our data be protected?
- Who will have access to our data?
- Will they use any third party AI services?
- How long will data be stored?
- What happens to our data at the end of the contract?
Ask them to explain how they will encrypt data, who will have access, how long data will be stored and how they will test data security.
Also ensure you know who owns the datasets, bespoke code, models and anything else.
5. Will your solution integrate with our systems?
Often AI solutions will need to integrate with existing systems such as CRM’s, ERP’s, databases, websites and mobile applications.
If they don’t integrate well, it could cause issues with disjointed processes and duplicate data.
For example, if you are using an AI customer support system they may need access to customer data from your CRM. If you are using a forecasting solution, they may need data from your sales and inventory databases.
Ask them about their experience with API’s, database connections, authentication systems and third party integrations.
Before approving their technical solution, ensure they understand:
- What systems will be integrated with?
- What data will be transferred?
- How will they synchronise?
- What happens if an external service goes down?
- Will they impact current processes?
A good partner should assess your current tech stack.
6. How do you test for accuracy?
AI solutions will not always give the same result. This could be due to the data quality, model used and complexity of the task.
Ask them how they will test your solution.
For predictive models, they may test how well they perform on new data. For conversational AI, they may test how relevant the responses are, if they are accurate and how they cope with ambiguous questions.
Ask them:
- What testing will be carried out?
- What performance metrics will be tracked?
- What will happen if incorrect results are produced?
- Can we view the results before launch?
- How will performance be monitored?
Don’t be tempted to believe they will have perfect accuracy. A reputable partner should be able to explain how accurate they expect the solution to be, any limitations and how they will improve it.
7. What is the cost and timeline?
The cost of AI development will vary depending on the complexity of the project, data requirements, technologies used, integration and infrastructure.
Ask for a detailed breakdown of the development process, what will be provided, how long it will take and how much it will cost.
- Discovery – Clarify requirements and what the project will include.
- Data Preparation – Clarify what data will be collected.
- Development – Clarify what architecture and models will be developed.
- Integration – Clarify what will be integrated.
- Testing – Clarify how performance and security will be tested.
- Deployment – Clarify how the solution will be hosted.
- Maintenance – Clarify what maintenance will be carried out.
Ensure they have included:
- Cloud Hosting
- Third party API costs
- Model costs
- Licences
- Maintenance.
A cheaper initial quote doesn’t always mean it will be cheaper overall. Ensure you compare proposals based on what they include, what will be provided and what the long term costs will be.
8. What support will you provide?
Once your solution is deployed there may be new requirements, technical issues and performance changes.
Ask if they will provide monitoring, fixing errors, software updates and integration support.
Clarify:
- Is maintenance included?
- What support will be provided?
- How quickly will they respond?
- How will they update software and models?
- Who will monitor performance?
- Can it be scaled?
Ensure they will provide documentation and training for your internal team. Good documentation will make maintenance and changes easier in the future.
How to compare AI development companies:
Once you have spoken to potential partners, compare their answers. A good partner should be able to show:
- Experience – Relevant projects and results.
- Technical – Clear recommendations on technologies.
- Business – Structured process for gathering requirements.
- Security – Specific security measures.
- Integration – Realistic integration process.
- Testing – Clear performance metrics.
- Cost – Transparent costs and what will be provided.
- Maintenance – Documented maintenance.
You can score each company out of 5. However, make sure you consider how well they communicate, are transparent and willing to discuss any technical limitations.
If you have a shortlisted partner, make sure you discuss your requirements and expectations. Contact the our team to discuss your AI development requirements.
Common Mistakes
- Many businesses miss out on important factors when choosing a development partner. Avoid:
- Only choosing based on cost. Cheaper quotes may not include testing, integration or maintenance.
- Not considering business requirements. Even if they have advanced technology, it won’t help if it doesn’t solve your issue.
- Not considering data. If the data isn’t complete or consistent it can impact how well the AI works.
- Not being clear on data ownership. Ensure you know who owns the source code, models, documentation and data.
- Not considering maintenance. AI solutions may need regular updates.
- Not setting success metrics. Ensure you have clear goals.
- By considering these factors early on, you can avoid
Final Thoughts
Choosing an AI development partner requires more than just looking at their portfolio and quotes. You want to ensure they understand your business requirements, can recommend the right technologies, keep your data safe and have good communication.
This guide provides 8 questions to ask potential partners. Take your time to review the proposals, understand what they will do and what long term support they can provide. By making an informed choice, your business can create an AI solution that will be useful, sustainable and match your goals.
Find out more about MatchBest and what technologies they have by visiting their website or connecting with Us on LinkedIn.
FAQs
What do AI development companies do?
They develop and integrate AI solutions such as machine learning applications, automation tools, predictive systems and intelligent software.
How do I choose the right AI development partner?
Choose a partner with relevant experience, technical knowledge, security, good communication, transparent costs, integration and long term support.
How much does AI software development cost?
The cost will vary based on the complexity of the project, data requirements, integration, technologies used and maintenance.
How long does AI development take?
The length of time will vary based on the project scope, data availability, integration and testing. Your development partner should give you a realistic timeframe.
Who owns the AI solution?
This will depend on your contract. Ensure you know who owns the source code, bespoke models, documentation, datasets and anything else.
Do I need long term support?
Yes. Having monitoring, maintenance, updates and performance reviews will ensure your AI solution remains reliable as your requirements and integrated technologies change.