How Ai Assistant Works
Data source: We only analyze thoughts that people intentionally post — a focus on strengthening psychological safety. We do NOT access or scan your any other information - only reflections posted in Neelix are analyzed.
Data types: Posts that can be analysed - "team journal", "snap health checks", or "retrospective conversation board".
Enterprise Security: Azure OpenAi sandbox is used for artificial intelligence assistants in Neelix platform. Read more information here.
Benefits - Interactive Insights
Easy summarize of feedback on everything that is going on within teams, between teams, and inside business processes
AI assistants can detect suggested actions people mention in their messages and create a simple summary.
Gain specific insights easily by typing additional instructions that suit your needs and context. Examples:
- "Focus on challenges and suggested actions by team"
- "Explore more what people are saying about {theme or topic}"
- "Compare changes over time by quarter periods"
- "Re-write the summary in the style of a performance announcer".
Word Cloud of Team Themes
Generate a word cloud from posts in the team journal, and gain gamified insights in the experience of teams.
The data lake of reflections provided by employees is an authentic, invaluable source for insights. Leverage the word cloud for:
- Periodic newsletters
- Team level conversations
- Town halls
- Retrospectives


Imagine being able to summarise authentic feedback at scale across all themes and teams
Responsible use of Ai
- Ai engines can produce great results when supplied with good instructions for context setting and desired output format.
- We guard against the misuse of Ai capabilities by curating the library of instruction sets. The library of Ai instructions is offered transparently for the full community to view and critique.
- At the same time, we do no want to stifle creativity and innovation. You have capability to submit a proposed new template.
- Ai capabilities in Neelix.IO are achieved with the integration with OpenAi API - more details here about data security and other considerations.

Analytics for Better Decision-Making
Live Pulse method for obtaining measurable, contextual feedback from employees about what is happening inside of business processes. Go beyond sentiment measurement. Embedded capture of causality links.
Understand feedback at scale by empowering employees to reflect on performance and alignment in their own words.