How Viseven Helped an International Company Build an AI-Powered Assistant from the Ground Up 

These days, many companies invest in AI assistants. Is this a trendy new tech whim that will fade with time? As digital experiences enablers who’ve built way more than a couple of these solutions, we can say with conviction: AI assistants are extremely practical, useful for many things, and have become a strategic necessity for many businesses, pharma and life sciences included. The most widely-known benefits are, of course, delivering 24/7 support and providing instant answers to commonly asked questions. This helps equip both clients and teams with a powerful tool to boost productivity while minimizing time wasted on Google searches or digging through knowledge bases. 

Recently, the Viseven team worked on a project with a longstanding client. The goal was to create a mobile AI assistant completely tailored to an organization’s needs and client base. Customers are always at the heart of everything we do, and this project is no exception. Check out the case study for how we created an AI assistant for business from scratch, ensuring that it’s adjusted to the company’s goals and vision. 

Client Overview 

Our client is a leading European business from a tightly regulated industry. It is a multi-award-winning organization with over 2 million customers and has been operating for over 25 years. Despite all incredible achievements, our client has never stopped growing and evolving, constantly developing new solutions to improve its services. 

Over the past decade, the Viseven team has collaborated with the company several times, resulting in multiple successful projects. This time around, our project started with an idea to expand the client’s digital ecosystem, adding a user-friendly AI-powered mobile experience. 

Challenge: Launching a Standalone AI-powered Assistant 

Our client was ready to expand their digital offerings by including a secure, multilingual AI-powered mobile assistant. It had to be an app similar to other chatbots and assistants but tailored to the company’s needs and capable of intelligent automation and data analytics. There was no need to reinvent the wheel. However, there was still a clear need to create a user-friendly AI assistant mobile app that could provide intelligent responses and generate content while also fully aligning with the brand’s privacy and compliance standards. 

Our team was tasked with designing and delivering the native app from scratch. We also had to ensure a seamless integration with IONOS GPT and optimal performance on iOS and Android platforms. We had a clear picture of what had to be delivered: an app that provides real-time assistance, quick access to critical information, availability in multiple languages, and security measures in place.  

For us, this project was much more than simply ‘develop and deliver.’ Our team was thrilled to collaborate with a returning client, seizing the opportunity to strengthen our relationship while paving the way for future collaborations in AI and mobile innovation. 

The Solution 

Our team divided the workflow into six stages to create the AI personal assistant. Here is a breakdown of each phase.

Phase #1: Discovery 

The first step was to learn more about the client’s needs and goals for the project. Our team interviewed the client to learn more about their view of the perfect AI mobile assistant, analyzed the client’s customer base, and mapped out the next steps. 

Phase #2: Design 

Our team developed wireframes and prototypes for the mobile app, designed an interface that aligns with the brand’s style, architected AI to provide intelligent and accurate responses, and finally, included compliance checkpoints into the app design. As a result, we had a project backbone ready and moved to the next stage. 

Phase 3: Development 

At the development stage, we were tasked with implementing an AI-driven content generation engine, finishing building the mobile app for both iOS and Android platforms and ensuring encryption and compliance with the company’s standards and rules. 

Phase #4: Testing 

Our team ensured high quality with a complete QA cycle and manual testing. We prepared and finalized technical documentation that included architecture diagrams, API specifications, and a security scanning report. 

Phase #5: Delivery 

The Viseven team successfully delivered a scalable, intuitive, AI-powered mobile app to enhance engagement. Features of AI assistant include multilingual support, natural language interactions, and real-time intelligent responses. The app was integrated seamlessly with the client’s infrastructure while still meeting security and compliance requirements. 

Phase #6: HyperCare 

Our professionals continue providing post-launch support to ensure stability and continuous improvement even after the app is fully developed. One of the core principles of our collaboration with other companies is to always be there for our customers should they need our assistance and expertise. 

As a result, the client received an AI-powered mobile assistant that provides support, quick answers to various questions, and personalized recommendations. 

The Results 

At Viseven, we aim to provide every client with a long-lasting impact. Here is what our client was able to achieve with the new app in the first months:

• 28% increase in mobile user engagement and a 15% rise in return visits within 3 months; 

• Reduced average user search and navigation time by 40%, improving satisfaction; 

• Decreased customer support ticket volume by 20%, optimizing support costs; 

• Enabled 10% growth in new user registrations from non-native regions due to multilingual capabilities; 

• Improved operational efficiency by reducing the time spent on routine user tasks by 30%. 

Looking Ahead 

The project didn’t stop once we delivered the solution. Our team is already working on new integrations and enhancements to meet users’ evolving needs. We’re currently exploring advanced AI personalization to create even more engaging experiences and help our client strengthen their position as a true leader in digital transformation.

Best Practices: What We Learned 

Every project we work on is an excellent opportunity to deepen our expertise and broaden our technical knowledge. During this project, we learned how to: 

• Leverage structured discovery to align goals across teams early 

• Prioritize multilingual and intuitive interfaces to expand the user base

• Use AI-driven automation to enhance support capacity and reduce manual workload 

• Focus on seamless integration with existing systems to maximize adoption and efficiency

Artificial intelligence has numerous applications across life sciences, telecommunications, and many other industries. So our team is always excited to develop secure AI solutions. We learned a great deal from this project and look forward to bringing more innovative ideas like this to life. If you would like to learn more about our past projects and how we helped our clients succeed, make sure to check out our other case studies for more insights.