Name: Iris AI
Rating: 4.9 (11 reviews)

Overview

Product Information on Iris AI

Updated 25th February 2026

What is Iris AI?

Iris is an AI-native platform that helps sales engineers, presales teams, and proposal writers at B2B SaaS companies respond to RFPs, RFIs, DDQs, security questionnaires, and compliance assessments. Iris generates responses by drawing from your existing documentation — including knowledge bases, past RFPs, Confluence pages, and internal wikis — so responses stay current without requiring teams to manually maintain a static answer library. Teams using Iris typically see a significant reduction in response time and can move through complex questionnaires in hours rather than weeks. Iris integrates with Slack, Salesforce, and major document repositories and can be deployed in days.

Overall experience with Iris AI

Director of Sales

50M - 250M USD, Software

FAVORABLE

“Iris reduces time to deliver RFI's, RFP's, etc.”

5.0

Apr 17, 2026

The implementation of Iris has been exceptionally positive, serving as a high-impact solution for the team’s operational needs. It has successfully transitioned my team from manual, time-intensive processes to a more streamlined, automated workflow.

There are no reviews in this category.

CRITICAL

About Company

Company Description

Iris addresses the challenges businesses face in managing complex deal cycles by providing solutions that centralize and utilize institutional knowledge. The company focuses on enabling go-to-market teams to create customized content required for sales processes, such as RFPs and security questionnaires. By leveraging AI, Iris aims to streamline content generation and support sales enablement, helping organizations manage and respond to the demands of modern sales cycles more efficiently. Iris operates in the business software sector with a focus on simplifying and improving deal desk operations.

Company Details

Company type

Private

Year Founded

2023

Head office location

New York, United States

Number of employees

11 - 50

Website

https://heyiris.ai/

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Key Insights

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Reviewer Insights for: Iris AI

Performance of Iris AI Across Market Features

Iris AI Likes & Dislikes

1. The ingress of a RFI or RFP is super quick and efficient. 2. The ability to give the AI context of how I want to answer a proposal. I can clarify what products and solutions I want to bid on and give details about the customer. The AI then takes that context and the learned context and delivers answers that get us 70-90% of the way there. Reducing timeframes to complete RFI's and RFP's 3. The centralized platform to assign questions makes collaboration across a segregated company easier to assign and complete questions.

1. Projects: to manage end-to-end file upload to formal response output. 2. Knowledge Map/Assignments: to maintain the most recent/relevant internal documentation and reduce reliance on global technical resources in different time zones. 3. Ask Iris: it's best practice to utilize other functions in Iris AI (e.g. Projects), however Ask Iris is incredibly effective for managing ad hoc requests requiring prompt turnarounds.

I most appreciate the following components of Iris * Ability to synthesize answers across multiple teams into a specific response to the question being asked * Ability to approve answers that form the basis and ideas for how their AI responds to all future inquires * Ability to allow sales teams a self-service portal capability and slack integration for real-time questions and queued deliverables

1. I really can't wait to see them expand the Integration functionality. The need to no longer think about our data auto updating the brain of Iris would be great. 2. We would really like a way for the solution to read the questions and automatically understand what group the questions should be assigned to for review. 3. Creating AI prompts for new users can be somewhat complex. Making it easier for new users to understand the art of the possible in AI prompting would make adoption easier for new users.

My main issue with Iris AI is user adoption from other approval stakeholders in Product/InfoSec. This is likely a user adoption perspective from stakeholders that view the necessary process of contributing to RFPs etc. as a pain and disruption to their day-to-day and are therefore slow to adopt. The GTM team is heavily reliant on Iris AI and has strong adoption.

The product is all together awesome and the only thing that could make it better is if it processed customer contracts and could call out security, legal, or operational deviations from the accepted standards and build dashboards from those deviations to determine risk, but also to collect per-contract requirements like contacting customer's SOC in x hours at y address.

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Peer Discussions

Iris AI Reviews and Ratings

Recommended Gartner Insights

Market Guide for RFP Response Management Applications

50M-1B USD

Software

Review Source

Iris reduces time to deliver RFI's, RFP's, etc.

Enterprise Account Executive

<50M USD

GTM team benefits from (and reliant) on Iris AI

Apr 16, 2026

Iris AI has been tremendously valuable to me as an Enterprise AE. I use Iris AI for RFPs, InfoSec/Cyber Questionnaires, and ad hoc requests for technical questions that require sophisticated responses.

VP, IT Security and Risk Management

IT Services

Iris Expedites the Security Sales Cycle

Iris makes the otherwise egregious process of security questionnaire response, management, deduplication, tracking, and completion seamless

Manager

Gov't/PS/Ed

Education

Efficient RFP Writing With Notable Support and Ongoing Product Improvements Highlighted

4.0

Apr 7, 2026

The Iris program has saved me a lot of time when writing RFPs. The Customer Success Managers are very helpful and provide support whenever needed.

Marketing Associate

Iris Streamlines Security Questionnaire Workflow With Auto-Analyze And Export Features

Iris has made responding to security questionnaires significantly faster and easier. The upload and auto-analyze workflow is intuitive, and the team was exceptionally helpful during onboarding. There's very little to complain about.. it just works.