AI in Business

DPD's AI chatbot went viral for swearing at customers in January 2024. Learn the three critical safeguards that prevent AI reputation disasters.

Discover why 90% of real estate firms invest in AI teams but only 5% succeed. Learn the three critical barriers blocking real estate AI implementation and proven strategies that deliver 95% accuracy in property valuations and 17.6% cost reductions.

MIT's 2025 study reveals that 95% of enterprise AI investments are failing despite $40 billion in spending. Learn the three critical mistakes most companies make when choosing AI tools and download our free AI Tool Evaluation Framework to avoid costly implementation failures.

Introducing Linko, our first FAQ chatbot built with Node-NLP instead of GPT. While many organizations default to ChatGPT APIs for chatbots, we chose traditional NLP for good reason. Node-NLP delivers instant responses, consistent answers, and zero ongoing costs—proving that not everything needs generative AI. Sometimes the most practical solution outperforms the most hyped technology.

AI agents are about to change everything, but many organizations are confusing them with chatbots, leading to costly implementation failures. With Gartner predicting 40% of AI agent projects will be cancelled by 2027, understanding the strategic approach to implementation is crucial for success.

You probably think AI training is about learning prompting techniques and interface navigation, but that's exactly why 48% of employees abandon AI tools after trying them. Most programs teach surface-level skills when people need to understand how AI actually works, creating unrealistic expectations and driving users back to manual processes.

Most companies measure AI adoption wrong. MIT and McKinsey research reveals why 95% of AI projects fail and what metrics actually drive productivity.