Blogs
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Build trust in AI by using it where trust already matters
Applying AI in ways that strengthen accountability and human judgment. Building trust in AI begins by placing it in roles that support existing work rather than replace it. Compliance and quality monitoring are clear examples, as are related areas such as risk management, internal policy adherence, and vendor due diligence. These functions allow AI to…
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Why Determinism Matters as Much as Hallucinations in LLMs
Building trust in AI systems through deterministic behaviour When people talk about the risks of large language models (LLMs), the discussion often focus on hallucinations: cases where a model confidently invents facts that are not true. Much effort is being put into reducing these errors, especially in sensitive domains like medicine, law, or finance. Yet…
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GenAI Sandbox: How to increase AI Quality Management!
LLMs, RAG, and prompting evolve almost daily. The challenge isn’t building — it’s testing, validating, and improving safely. Enter the GenAI Sandbox: a space for faster iteration, safer deployment, and early validation. From our experience with applications where a GenAI component plays a central role, we’ve observed that this part of the system introduces unique…
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RAG: How to address Data governance topics in using AI and RAG?
RAG is a powerful AI technology enabling LLM’s to retrieve information from a trusted external knowledge base (your documents or data) instead of its own ‘trained’ knowledge. In part 1 of this blog, we described how RAG can increase the quality of the LLM response tremendously. It prevents an LLM from hallucinating and ensures that…
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RAG: How to use proprietary documents safe and secure with AI?
Can you trust AI in your organization? We regularly discuss the application of AI with management of professional organizations. Often, we learn they are cautious and have limited trust in applying AI. This cautiousness arises from a combination of personal experience and limited knowledge of the technical features and capabilities of the AI technology currently…