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:
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
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?
What is AI business integration, and how can it benefit my company?
Can you work with my company’s existing software?
Do you integrate generative AI into mobile apps or web apps, or both?
How long does the AI integration service typically take?
Can you provide ongoing maintenance and support for the generative AI integration service?
What is the cost of AI business integration services?
How can generative AI integration with cloud services benefit my business?
Is the generative AI integration service secure for my sensitive data?
What makes generative AI integration different from regular automation?
Why should I choose your AI services over competitors?
Can generative AI integration help with creative tasks or is it just for analytical ones?
What are the first steps my company should take to get started with generative AI integration?
I'm afraid that AI can make serious mistakes that can cause my business to suffer
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.