The world is getting smarter about Generative artificial intelligence. Some enterprises may be just starting with GenAI. Others are farther along the path. We see our clients moving into a new phase with GenAI: shifting from experimentation to real-world use cases and proof of concepts. This evolution shows that GenAI is durable and scalable if done correctly. Successful companies know the three Es of GenAI: experiences, efficiencies, and effectiveness.
Our clients say employees are more satisfied with the experience of using GenAI tools when those implementations are easy to use and provide good results. With an excellent user interface, employees can make the most of GenAI solutions and use them to their full potential.
Ensuring a good user experience requires trust. If business users across the organization do not trust the results of a GenAI model, they will abandon it. To build that trust, you must continually verify the model’s output. GenAI is very capable, but it is prone to hallucinations. Be willing to refine models regularly to keep them valuable and current. Next, the model must be transparent. You must know how it reaches answers rather than accepting results from a “black box” system. Transparency here helps with trust from your team and the trust that you’re following regulatory and legal guardrails.
