Analytics

AI business integration services

We integrate generative AI into existing business solutions and build them from scratch.

Generative AI integration helps companies to automate routine processes and tasks, increase efficiency, and cut expenses. It also improves user experience by providing customized recommendations and fast customer support. AI technologies help to boost sales with lead generation and qualification and offer relevant marketing ideas as well.

Steps we take in the process

  • 1
    Business analysis
    Analytics is an important part of our AI business integration services. At this stage, we identify our client's business goals and find a generative AI solution to reach these goals within the budget expectations. Our analyst prioritizes features and estimates the cost and time needed to build the product.
  • 2
    UI/UX design
    Based on the analytics, our UI/UX designers build an intuitive and user-friendly interface. Then they create the UI according to the client's brand identity and the UI Kit that can be used to scale the design up.
  • 3
    Planning the sprints
    We usually divide the work into two-week sprints. That’s enough time to complete a piece of functionality and show our client a tangible result. After each sprint, the client can check the work and evaluate the progress.
  • 4
    Development and QA testing
    First of all, our developers create a scalable architecture and write clear code. At this stage of AI business integration services, we can train generative AI models or integrate a ready-made solution with the help of OpenAI. To make sure that the product works correctly, we run automatic tests and use error-tracking tools to fix the bugs.
  • 5
    Release and maintenance
    To quickly release the app to the store, we follow iOS and Android guidelines and make sure the software runs smoothly. As for web software, we check it for bugs and bring it into the production environment. After the first version is released, we continue to work on it — fix post-release bugs, add new features, and update the software based on user feedback.

Our projects:

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Industries we work with

Healthcare

With the help of generative AI integration, medical professionals can now analyze large, complex sets of patients’ data in real time, identify diseases faster, and make accurate predictions. AI business integration in healthcare services can streamline administrative tasks, such as appointment scheduling, patient registration, and billing.

Fintech

AI solutions for financial services can offer personalized financial advice, help users manage their spending, and even provide investment recommendations. AI algorithms can detect unusual patterns in transactions and flag them, making it easier to prevent fraud.

Booking

Business automation services can help travel companies optimize their pricing strategies to stay competitive and maximize revenue. AI technology can analyze customer behavior and market trends and provide pricing recommendations. AI-powered chatbots can answer customer queries, reduce the workload on customer service teams and improve response times.

Real estate

With AI algorithms, buyers can quickly find properties that match their criteria, while sellers can receive accurate property valuations and market analyses. AI business integration services can also help real estate agents by providing them with insights into the latest market trends and predicting future changes.

E-commerce

By using AI integration services, businesses can analyze customer behavior, identify patterns, and make recommendations for products or services. E-commerce companies can use generative AI integration to automate certain tasks, such as customer service inquiries or inventory management, which can save time and increase efficiency.

What our clients say about us:

Numbers
1870
reviews
across 5 platforms
Top 50
app development
companies on
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Upwork logo
4.9 / 5
average rate

FAQ

What is generative AI?

Generative AI refers to a type of artificial intelligence that is capable of generating new content, from text and images to music and code, based on patterns and data it has previously learned. Unlike conventional AI which is typically used for recognizing patterns, analyzing data, or making predictions, generative AI takes this a step further by creating novel outputs that didn't exist before.

This type of AI works by using machine learning algorithms, particularly a subset called generative models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). These models are trained on large datasets and learn to understand the intricacies and styles inherent to the data. Once trained, they can produce new examples that are similar to but distinct from the original data.

What are the possibilities of generative AI?
For instance, a generative AI trained on thousands of paintings can begin to generate its own art, or one trained on music can compose original melodies. The possibilities extend to writing software code, designing products, and much more. The key aspect of generative AI is its ability to learn from complex patterns and replicate them in a way that is often indistinguishable from that of a human.
What is AI business integration, and how can it benefit my company?
Shortly, it’s about implementing AI into a company's business operations. Using AI can help you automate business processes, gain insights through data analysis, increase efficiency and productivity, and improve customer service. It can also help you gain a competitive advantage and improve your company’s overall performance.
Can you work with my company’s existing software?
Yes, we can implement AI solutions into existing applications, as well as develop AI-powered apps from scratch.
Do you integrate generative AI into mobile apps or web apps, or both?
We can integrate AI into any application since we have both web and mobile developers on our team. We develop native and cross-platform apps for iOS and Android, as well as high-load web platforms.
How long does the AI integration service typically take?
The timeline of AI business integration services can vary based on the complexity of the project and your business goals. If you need full-cycle development, we may need about 3 months to create an MVP powered by AI. To find out how much time it may take in the case of your project, please contact us so we can make an estimation for you.
Can you provide ongoing maintenance and support for the generative AI integration service?
We always monitor generative AI integration projects after the release to ensure the app works flawlessly. We have many clients that stayed with us for years and we continue to work on their projects.
What is the cost of AI business integration services?
Developing an AI-powered app would cost about $20,000–$40,000 for an MVP version. As for the cost of integrating an AI into a ready-made project, it depends on your request, the product you have, and the type of generative AI you wish to use. Feel free to contact us to get a precise estimate.
How can generative AI integration with cloud services benefit my business?
Integrating generative AI with cloud services can significantly benefit your company by providing scalable AI solutions that grow with your business. This combination enhances your data processing and storage capabilities, providing real-time analytics and decision-making support without the need for on-premise hardware.
Is the generative AI integration service secure for my sensitive data?
Security is our top priority, especially when it involves sensitive data. Our AI integration service includes robust security protocols to ensure that your data is protected. We use the latest encryption and compliance standards to maintain data integrity and privacy.
What makes generative AI integration different from regular automation?
Generative AI integration involves sophisticated AI that can understand, learn, and predict outcomes, dramatically improving upon traditional automation. These AI services can generate new content, provide personalized customer experiences, and make autonomous decisions, all of which enhance your efficiency and innovation.
Why should I choose your AI services over competitors?
Our integration services stand out due to our personalized approach to each project. We don't just offer out-of-the-box solutions; we develop a deep understanding of your business goals and tailor our generative AI integration accordingly. Combined with our expert team and commitment to quality, we provide unparalleled service.
Can generative AI integration help with creative tasks or is it just for analytical ones?
Generative AI integration is incredibly versatile and can certainly assist with creative tasks as well as analytical ones. Beyond analyzing data, AI can produce original content, from writing marketing copy to generating design elements. This means that generative AI integration can be just as useful to your creative team as it is to your data analysts.
What are the first steps my company should take to get started with generative AI integration?
The initial step towards adopting AI integration services is to identify areas of your business that could benefit from smarter automation and data-driven decision-making. Once these are pin-pointed, our team will work closely with you to design an AI integration plan tailored to those specific requirements. From there, we'll guide you through the setup and implementation process to ensure a smooth integration of generative AI into your business operations.
I'm afraid that AI can make serious mistakes that can cause my business to suffer
It's understandable to have concerns about things that could impact your business. Like any technology, AI is not infallible and relies on the data it's trained on and the algorithms it uses to make decisions. However, several measures can be put in place to minimize risks:
1. Quality training data: Ensuring your generative AI is trained on a large, well-curated dataset minimizes the likelihood of errors.
2. Human oversight: Human expertise complements AI's capabilities and helps to mitigate potential flaws.
3. Risk management strategies: Develop strategies and protocols for when errors are detected. Knowing how to respond quickly can significantly reduce the potential harm to your business operations.
4. Compliance with standards and regulations: Adhering to industry standards and regulations ensures that your generative AI systems are up to the latest safety and ethical guidelines, reducing the risk of mistakes.
By following these measures, you can significantly reduce the risk of serious mistakes and leverage AI to bring value and innovation to your business rather than cause harm. As an integration partner, we do everything possible to make AI useful and valuable for your business.
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