At WaveAccess’s first AI Jam, a collaborative, role-play session built on authentic AI use cases, business leaders exchanged perspectives on what works with AI today and what still needs clarity. The conversation surfaced both practical opportunities and shared concerns around accountability and leadership.
We developed a GenAI search platform for a major pharma company, transforming a days-long, manual research process across scientific resources into a task taking a minute. The solution accelerates drug development cycles, reduces high-value labor costs, and improves patient outcomes by ensuring critical scientific insights are captured and acted upon instantly.
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.
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.
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?
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.
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