How AI Insights Turns Complex Emotional Signals into Clear Answers

The foundational value of a large language model is less about generating answers and more about its capacity to address the right questions. Since those questions vary dramatically, shifting by role, industry, and the immediate context, we developed AI Insights, a powerful agentic feature within Imentiv AI that moves beyond the capabilities of a standard LLM. This feature is available across video, audio, image, and text modalities. AI Insights autonomously leverages emotional data points extracted from the media to deliver precise responses to any user query. This comprehensive analysis of the full emotional landscape ensures the AI captures essential context and drives the analytical process. Whatever the question, AI Insights delivers context-specific, actionable insights that truly matter.

 

What is the AI Insights feature?

AI Insights is an exclusive feature within Imentiv AI that helps users get direct and contextual answers, turning complex emotion data into actionable insights from their analyzed media content. 

 

The ultimate aim of the AI Insights feature is to help anyone move from data to clarity, faster and with more context.

Once a video, audio, image, or text is processed on Imentiv AI’s platform, users can ask questions, like 

 

“During the training video, how engaged was Trainer Lisa (Face 4) when explaining the workflow?”  

 

“In this support call, when did John (Speaker 1, the representative) sound the most empathetic?”

 

“Who in the audience looks confused versus excited in this snapshot?”

 

“What emotion drove the strongest reaction in this ad campaign?”

 

“Which lines in the survey response reflect the most positivity?”

 

These sample questions give a sense of what you can explore, but the real discoveries come from the questions only you can ask.

Unlike traditional analytics that deliver generic outputs, AI Insights acts like a smart assistant, providing actionable, fact-backed insights drawn directly from your media and its emotional signals.

According to Gartner, by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from zero percent in 2024.

 

AI Insights in Action: Real-World Examples

Now, let’s see AI Insights in action through a few real-world examples.