Artificial Intelligence (AI) is transforming how businesses operate and compete in the global market. From finance, healthcare, and e-commerce to manufacturing, AI helps automate processes, enhance customer experience, and optimize costs. Major tech corporations like Google, Amazon, Microsoft, and Tesla are heavily investing in AI to maintain their leading positions.
However, not all businesses have the resources to develop AI solutions in-house. Building an internal AI engineering team is not only expensive but also time-consuming. This is why AI software outsourcing is becoming an increasingly strong trend.
1. The trend of AI integration – The era of enterprise breakthrough
AI is no longer a trend of the future; it is present and growing rapidly. Integrating AI into business operations—from management and customer service to production automation—has become common.
Technologies such as Machine Learning, Natural Language Processing, and Computer Vision are helping businesses make faster, more accurate decisions and optimize costs more effectively.
AI is gradually penetrating all industries, not just limited to large tech corporations. From finance, healthcare, and e-commerce to real estate and manufacturing, AI applications such as chatbots, product recommendation systems, customer behavior analysis, and supply chain optimization are helping businesses enhance user experience and achieve sustainable growth.
This trend not only drives innovation but also creates a high demand for AI-integrated software outsourcing services. Businesses looking to integrate AI into their products quickly and efficiently are seeking a professional AI software outsourcing company to leverage technological advantages without heavy investment in personnel and infrastructure.
The trend of AI integration
2. Criteria for selecting and evaluating AI software outsourcing companies:
There are many criteria for evaluating and selecting an AI software outsourcing company. Depending on each business’s specific needs, the right partner may vary. However, in practice, the following are common and important evaluation criteria:
2.1. Experience in developing AI models and integrating AI applications
Experience and capability in AI development are top criteria for selecting the best AI software outsourcing company. Especially in industries like finance, banking, e-commerce, logistics, etc., where high expertise in AI application is required. This criterion is usually evaluated based on:
- Number of years in the technology sector
- AI projects the outsourcing company has executed
- Ability to solve real-world business problems
- Level of creativity in applying AI to business workflows and management
Experience in developing AI models
2.2. Highly specialized AI engineering team
AI is a complex field requiring high specialization. A strong AI company must have a team of experienced engineers with a solid foundation in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision. Additionally, they should be proficient in using popular AI frameworks such as TensorFlow, PyTorch, and Scikit-learn to develop customized solutions based on client needs.
Highly specialized AI engineering team
2.3. Advanced AI technologies and solutions
A leading AI company should not only develop software but also stay up-to-date with the latest AI trends and integrate Big Data, Cloud Computing, and IoT to enhance the performance of AI models. Advanced AI technologies are commonly applied in:
- Business process automation (RPA + AI)
- Intelligent chatbots and virtual assistants
- Image recognition and video analysis systems
- Customer behavior prediction and business strategy optimization
Advanced AI technologies and solutions
2.4. Customization capabilities based on customer requirements
Not every business has the same AI usage needs. A quality AI company should be able to provide consulting and customize solutions according to industry, scale, and business goals. This is reflected in:
- Developing AI solutions specific to the industry (Banking, Insurance, E-commerce, etc.)
- Integrating AI into existing enterprise systems (CRM, ERP, Mobile Apps…)
- Scalability and cost optimization when implementing AI
2.5. Real-world projects and customer feedback
A strong AI software outsourcing company must have successfully implemented real-world projects. Case studies and client feedback are the clearest evidence of a company’s capabilities. Important factors when evaluating AI projects include:
- Project scale and clients (major corporations, international enterprises…)
- Post-AI implementation effectiveness (revenue increase, cost reduction, process optimization…)
- Client satisfaction and evaluation of the solution’s quality
Real-world projects and customer feedback
Thoroughly considering all the above criteria will help businesses choose a top AI software outsourcing company, ensuring project effectiveness and long-term benefits.
3. Leading AI software outsourcing companies and custom AI model development in Vietnam?
In recent years, Vietnam has become an ideal destination for the tech industry. Many of the world’s top technology corporations have relocated their factories and started investing in Vietnam. In addition, businesses looking to develop AI-integrated software or custom AI models—but lacking the necessary resources—are also turning to Vietnamese engineers. However, coming to Vietnam is only half the equation; finding a tech company that provides suitable services tailored to business needs is the real challenge.
In Vietnam, Innotech is one of the leading technology companies providing services and solutions in the tech sector, especially in AI. Some of Innotech’s key services include:
- Custom AI model development
- AI-integrated software development
- Integrating AI into existing enterprise software systems
- AI software outsourcing
- Providing IT outsourcing services in the AI sector
- Offering digital transformation consulting solutions using AI
Innotech has 12 years of experience in the tech industry with many successful outsourcing projects, trusted by major global partners such as: Unifimoney, Manulife, UOB, ACB, Tymebank,…
Some notable AI-integrated software development case studies by Innotech include:
- HRM software Kingwork: Innotech integrated AI features such as AI facial recognition cameras for attendance, support chatbots for software guidance, AI for scanning and filtering applicant CVs, and AI for automatically generating labor contracts and other documents based on employee information.
- Xclaim: AI automatically creates insurance claim requests. Using OCR (Optical Character Recognition) technology, Xclaim helps process user documents automatically, saving time and effort. It simplifies insurance claim procedures and processes.
To learn more about how Innotech develops AI-integrated software and custom AI models for businesses, please leave your information HERE for support.
