Drafting is where it ends
Iris covers answer generation, but go/no-go analysis, portal answering, review workflow, and reporting all live somewhere else, usually in spreadsheets.
AutoRFP.ai is the accuracy-first AI platform for RFPs, security questionnaires, and DDQs: every answer source-grounded and citable, with zero library maintenance. See how it compares with Iris (Hey Iris), and why teams switch.
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AI-native
Iris
AI-native RFP automation
Trusted by teams at


Challenges
Iris covers answer generation, but go/no-go analysis, portal answering, review workflow, and reporting all live somewhere else, usually in spreadsheets.
When retrieval leans on exact keywords, differently-worded questions surface the wrong content, and every draft needs a heavier edit than it should.
Iris teams describe manually organizing and pruning content libraries, the exact upkeep AI response software was supposed to remove.
So, if you're reviewing your options and looking for an alternative to Iris (Hey Iris), keep reading…
Comparison
AutoRFP.ai adds go/no-go analysis, an AI Q&A bot, portal questionnaire answering, review workflows, and reporting on top of AI drafting.
AutoRFP.ai retrieves by meaning, not keywords: 80-90% of first-draft answers are usable as-is, grounded in your approved content.
The library updates itself from approved answers over time, so teams skip the manual curation work Iris users describe.
10%
Higher win rate on submitted RFPs

90%
Automation rate across questionnaire responses

32 → 2
Hours per RFP response

Comparison
| Capability | ||
|---|---|---|
| AI-native platform (built on generative AI, not added later) | Yes | Yes |
| Zero hallucination by design (100% source-grounded answers) | Yes | No |
| Self-cleansing library that learns from approved answers | Yes | No Manual library upkeep reported |
| Imports Word, Excel, PDF & portal questionnaires | Yes | Not disclosed |
| Public, transparent pricing | Yes | No |
| Unlimited users — no per-seat fees | Yes | Not disclosed |
| Built-in translation & localization | Yes | Not disclosed |
| Regional data hosting options (US, EU & Australia) | Yes | Not disclosed |
| SOC 2 Type II certified | Yes | Yes |
| ISO 27001 certified | Yes | Not disclosed |
Comparison based on public product information and verified user reviews as of July 2026. – indicates the capability isn't clearly documented.
Pricing
Scale
$899/mo
paid yearly
Accelerate
$1,299/mo
paid yearly
Enterprise
Flexible pricing that scales with your business
FAQ
AutoRFP.ai is the leading Iris alternative for teams that have outgrown basic AI answer generation. It adds semantic retrieval, a self-maintaining library, portal automation, go/no-go analysis, and reporting, on transparent flat pricing from $899/month with unlimited users.
Iris doesn't publish pricing publicly. AutoRFP.ai lists transparent flat pricing from $899/month with unlimited users, so you can evaluate cost before ever talking to sales.
The most common reasons are accuracy (semantic retrieval instead of keyword matching), the end of manual library upkeep, broader integrations, and a complete workflow, portals, reviews, go/no-go, and reporting, rather than drafting alone.
Iris, often searched as Hey Iris or heyiris.ai, is a lightweight AI tool for drafting responses to RFPs and questionnaires. It is a low-friction way for small teams to start with AI-assisted response work, with a feature set that stays close to core answer generation.
Users credit Iris for simplicity, while the recurring concerns are a limited feature set beyond drafting, accuracy that leans on keyword matching rather than semantic understanding, manual library upkeep, and integration gaps. Those four are precisely where AutoRFP.ai differs.
Iris is accessed through its own sign-up flow. AutoRFP.ai runs a free two-week proof of concept on your actual RFPs: book a 30-minute demo, connect your content, and see source-grounded drafts with 80-90% usable as-is.
AI-native
A newer AI-native platform for RFPs, DDQs, and security questionnaires that emphasizes accuracy, traceability, and source-grounded answers.
AI-native
An AI-first proposal-writing platform focused on long-form bids and formal tenders, with a research assistant and a single review workflow.
AI-native
A lightweight, AI-first RFP tool with fast self-serve onboarding that auto-generates answers from connected knowledge sources.
The bottom line
Iris is a lightweight way to start with AI-assisted RFP responses, and for small teams with occasional questionnaires its simplicity is the appeal. The friction shows up with volume: users describe a feature set that stays close to basic drafting, accuracy that leans on keyword matching, manual library upkeep, and integrations that miss key systems.
AutoRFP.ai is the step up, semantic retrieval that keeps 80-90% of first drafts usable as-is, a library that maintains itself from approved answers, portal automation, go/no-go analysis, and the reporting to run response work as an operation, on transparent flat pricing.
Iris generates drafts fast; the question is what happens when you need more than a draft. AutoRFP.ai answers by meaning rather than keywords, writes only from approved content (leaving a blank rather than guessing), and covers the whole operation: portals, go/no-go analysis, reviews, and reporting. See it on your own questionnaires in a two-week proof of concept; pricing is public, from $899/month.