I really like Iris because it's been a force multiplier for our small RFx team. It allows us to respond faster than we used to be able to. The generative AI is particularly impressive as it understands the intent behind RFP questions and generates clear, well-structured, and highly relevant responses from our Knowledge Map. This means we start with strong, usable drafts instead of a blank page, reducing the turnaround time dramatically and preventing team burnout. Additionally, I really appreciate the integration with Salesforce, which speeds up the process of creating new projects. Iris is competitively priced and comes with more integrations compared to what we used previously.

I love using Iris as a revenue tool because it not only provides AI-native features, but it also offers collaboration and quality that we've never had before. I find the RFP/RFI response automation incredibly useful as it quickly answers repetitive questions, giving my Solutions Engineers more time to focus on strategic aspects. I really appreciate how it spots inconsistent data and outdated information, keeping our knowledge fresh and accurate in a constantly changing software environment. The integration with tools like Slack and Salesforce is seamless. I also liked that we were able to complete our first RFP in just 15 minutes, which was unexpectedly fast.

I love how Iris does not fabricate answers and instead, opts to say "not enough info" rather than providing incorrect information. This accuracy and honesty in response generation are crucial, especially when dealing with sensitive data or precise requirements. I find it incredibly beneficial that Iris queries our old RFPs, efficiently pulling relevant past responses and formulating answers directly from the data we have provided. This capability not only saves time but also enhances the reliability of our responses. Additionally, I really appreciate the ease of the setup process for Iris, which was very straightforward and seamless, allowing our team to begin utilizing the software with minimal delay.