Artificial Intelligence (AI)

In the pharmaceutical industry, delays in addressing customer feedback can pose serious risks to both patient health and corporate reputation. Our client set out to build a solution for managing and analyzing user requests.

Vibe coding — the practice of writing code through natural language interactions with AI — has become a hot topic across the corporate tech world. But in practice, it’s meeting a wall of cultural caution, productivity paradoxes, and real-world quality challenges. Here is our look at the current state of adoption, risks, and the emerging best practices for companies bringing AI-assisted coding into their development pipelines.

A major pharmaceutical company needed to improve how its medical staff learned about new products. Their manual process for analyzing training tests was inefficient. We developed an AI system that pinpoints weaknesses in training materials, allowing for quick, precise improvements. The result was an increase in knowledge retention and a more efficient training process.

To business leaders in Germany: join peers to address real AI implementation challenges through a collaborative, role-play session.

The promise of GenAI is undeniable: unprecedented productivity gains, automated creativity, and a significant competitive edge. Yet, for many organizations, the initial excitement gives way to a harsh reality. Inefficient, biased, and costly projects are often the direct result of rushing into GenAI without a clear, business-driven strategy.

If you've ever wondered, "Where does AI make business sense for us? What's the fastest path from pilot to production, and how do we avoid dead-end experiments?", our workshop will give you clear answers fast.

A mid-size B2B travel company applied AI to automate hotel contract extraction and loading. The solution slashed manual work, boosted data accuracy, and cut contract onboarding from weeks to days — giving the company faster, leaner, and more scalable operations.

Custom virtual assistants can work with internal knowledge bases, integrate with corporate systems, execute tasks, and make decisions autonomously. But without proper preparation, these projects often fall short. Where should you start to ensure your AI assistant becomes a valuable tool, not a costly misstep?

The review of 7 AI tools that you can use to speed up your development projects: Cursor, SonarQube, UiPath, ValueXI, Dynatrace, Monday AI and Teams Copilot, their pros and cons.

WaveAccess has entered a strategic partnership with Thebes Group, a UK-based IT consultancy and managed services provider. This collaboration brings together complementary strengths in infrastructure consulting, cloud optimization, and AI-powered legacy modernization.

Explore how we built a hotel-booking AI Agent that interacts with travelers through familiar messaging platforms, taps into live inventory, eliminates response delays, and frees up human agents from repetitive tasks — all while delivering fast, accurate service and laying the foundation for scalable business growth.

Ambient Intelligence (AmI) may sound futuristic, but it’s quietly becoming reality. By embedding AI and IoT into everyday spaces, environments can respond in real time to people’s needs. As Gartner puts it, the ambient experience pushes technology "from in-between to in the background". Take a deeper look at how this shift is happening.

What do AI Agents really mean for the travel business in practice? From costs and ROI to privacy and implementation, human roles, and what lies ahead, here are the crucial questions leaders are asking today.

Over the last few months, there’s been a shift in how the travel sector employs AI. It’s no longer just about chatbots answering FAQs or apps recommending destinations. Behind the scenes, travel companies are starting to deploy AI agents — digital assistants that don’t just talk, but think, decide, and act.