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Upgrading your product with AI: use cases and pitfalls

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Еxplore the practical benefits of incorporating AI as a feature to existing products to businesses across industries, as demonstrated by our projects in healthcare, travel, and IT, and add LLM to get even more.

June 10, 2024

Incorporating AI features can significantly boost the appeal of any IT product to stakeholders. Let’s explore the practical benefits this enhancement brings to businesses across industries, as demonstrated by our projects for companies in healthcare, travel, and IT. The ValueXI platform enabled us to add AI capabilities and integrate upgraded models within a month, delivering real business value in the short term.

Business cases of infusing AI in the IT product

One of the scenarios of using ValueXI AI engine for business is to apply it to existing products as an add-on feature in order to grow the product and raise new investments, get more users, increase the average cost, and as a result, to get more market share. Explore business cases we've made so far:



Case 1: Reducing staff workload and errors with AI

Solution: For a HealthTech app designed for patient transportation, we used ValueXI to enable instant data retrieval through form scans and automatic distribution of insurance approval requests.


Result: This reduced staff workload by 65% and decreased the number of errors by 87%.



Case 2: AI helping a startup raise investments

Solution: To secure further funding for a startup focused on reducing customers’ plastic footprint, we quickly created an MVP recognizing plastic types of food packages.


Result: Delivering the MVP on time with strong scalability potential enabled the startup to attract new investments.



Case 3: Boosting sales with AI-based predictions

Solution: For an IT company developing digital solutions for the travel sector, we added an AI feature to predict the purchase of additional services (e.g., insurance) within their app for airline companies.


Result: The machine learning model helped boost additional service sales by 25%. Furthermore, this new feature attracted new airlines interested in using the app to increase their average transaction value.


As shown, ValueXI is well-suited for developing new AI functionalities for products, platforms, or complex systems. The tool can be easily integrated into existing solutions, extending their capabilities and providing added value while allowing resource scaling based on data volume.

Advantages of incorporating AI into IT products

Generally, adding AI features to digital products can provide numerous benefits, including:

  • Enhanced efficiency

    AI can automate routine tasks, reducing the need for human intervention, leading to cost savings and increased productivity. For example, AI in IT systems can automate data entry, analysis, and even decision-making processes.

  • Improved decision making

    AI algorithms can analyze large volumes of data more quickly and accurately than humans, providing insights that lead to better business decisions. This is particularly beneficial in areas like finance, where predictive analytics can assist in risk management and investment decisions.

  • Elevated customer experience

    AI can personalize customer interactions by learning from customer behavior and preferences. In IT products, this can translate to more intuitive user interfaces, personalized content, and proactive service offerings.

  • Market differentiation

    AI can enable companies to enhance existing products in ways that competitors may not, suggesting a clear market advantage and the potential for capturing a larger market share or opening up new markets.

  • Scalability

    AI systems can handle scaling operations more efficiently than traditional software, as they can adapt to increased workloads and data inputs without requiring a proportional increase in hardware or human resources.


What’s important is that this opportunity is available to IT companies with or without AI expertise and non-IT companies like retail, production, manufacturing, banking or the industrial sector with no AI background, as well as to startups.

Risks and how to mitigate them

With opportunities come challenges. Here are some issues businesses face when adding an Artificial Intelligence feature to their products and the way ValueXI addresses them.

  • Avoiding the skill gap: ValueXI functions as an AI engine with a smart visual editor, making it easy to use even for non-technical users. Moreover, it comes with ongoing support from our ML team with domain expertise. Therefore, there is no need in finding and retaining talent capable of developing and managing AI systems.
  • Reducing initial investments: The automation of key AI development operations, which is central to ValueXI, enables us to speed up data preparation and validation, ML training, and hypothesis testing, saving up to 90% of resources. Also, note that transition from PoC to production-ready AI project takes just up to a month!
  • Mitigating complexity in integration: Integrating AI into existing IT systems can be complex. ValueXI simplifies this process, ensuring compatibility even with legacy systems and minimizing disruptions.
  • Addressing data privacy and security concerns: Offering an on-prem option, ValueXI ensures compliance with regulations like GDPR, protecting the AI system from confidentiality breaches and legal issues. Which is especially important when working with LLMs.

Get even more with LLM on board

There are two concepts of introducing LLM to your product using ValueXI. First is to help clients to choose the optimal LLM tool to implement into existing products, when it's needed. It can be GenAI or traditional ML algorithms, and it's on our ML team to suggest and implement the most suitable solution according to business tasks. Yes, in some ways you don't need LLM, and we can explain why. Second, is to help clients to solve the security problem — data must always be private as it will come from end users. We offer the AI-platform ValueXI for anonymisation of dialogues and secure access to ChatGPT and for verification of partitioning done by LLM and for direct development of the AI part for your product.

Experience ValueXI firsthand!

Swiftly addressing potential challenges, ValueXI serves as a reliable foundation for the AI infusion scenario.


You are welcome to book your personal live Demo — right under the text kindly fill the small form for Demo — and discover how it can make a difference in your AI adoption!

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