AutoRFP vs HeyIris: Which AI RFP Tool Is Right for Your Team?
AutoRFP vs HeyIris compared on AI drafting, scope, pricing, and G2 reviews, with where each fits and an AI-native alternative for RFP teams.
AutoRFP.ai and HeyIris are two of the newer names in AI RFP software, and they are easy to mix up because both lean on AI to speed up responses. The real difference is scope. AutoRFP.ai is focused on drafting RFP, RFI, DDQ, and security questionnaire responses from your content, with pricing published in the open. HeyIris is broader, calling itself an operating system for proposals that also handles research, qualification, and win-loss tracking.
This AutoRFP vs HeyIris comparison covers what each tool does, where reviewers say they help or fall short, what they cost, and where an AI-native platform fits for teams that respond to RFPs at volume.
Last reviewed: October 2026. This comparison is based on vendor-published materials, verified G2 reviews, and independent third-party data. Pricing can change, so confirm current figures with each vendor.
The quick verdict
- Choose AutoRFP.ai if your main job is responding to RFPs and questionnaires and you want fast drafting, unlimited users, and pricing you can see before you talk to sales.
- Choose HeyIris if you want a wider proposal workflow, with go or no-go analysis, buyer research, and win-loss tracking alongside drafting, and you are comfortable adopting a newer platform.
- Both score highly with users. On G2, AutoRFP.ai holds 4.8/5 and HeyIris 4.9/5, though HeyIris does not yet publish its pricing.
- Both tools are AI-first, so the real decision is scope and depth, not old versus new. Teams responding to RFPs, DDQs, and security questionnaires at scale also compare Inventive AI, which runs the response with autonomous agents and unlimited users.
How AutoRFP and HeyIris compare on scope, workflow, and pricing
Both are well-reviewed AI tools, so this table focuses on scope, workflow, and maturity, where they differ most.
Note: Ratings and figures were verified in October 2026 and can change. Confirm pricing directly with each vendor.
AutoRFP.ai: drafts RFP and questionnaire responses
AutoRFP.ai is AI RFP software built to turn your existing content into RFP, RFI, DDQ, and security questionnaire responses. Its AI Response Engine produces a first draft in minutes and attaches a Trust Score and cited sources, so reviewers can check each response quickly. Every plan carries unlimited users, and the company publishes its pricing, which is uncommon in this category.
HeyIris: a proposal workflow with go/no-go and win-loss tracking
HeyIris is broader than a response tool. It calls itself an operating system for proposals and wraps extra steps around drafting: Go or No-Go analysis to qualify an RFP, Intelligent Research and structured War Room interviews to gather buyer context, and win-loss attribution to trace outcomes back to specific content. It targets pre-sales and sales engineers, proposal teams, and security teams, with case studies in healthcare, cybersecurity, and software.
Where Inventive AI fits as an alternative
Inventive AI takes a different path from both tools. Rather than speeding up a draft-and-review workflow, it uses autonomous agents to run the response: the agents read the document, draft each response from your connected knowledge, review the full draft, and flag anything outdated or conflicting, with people approving the result. Seats are unlimited, and most teams are live within days.
A closer look at features, strengths and limitations of AutoRFP and HeyIris
Both are AI-first and well reviewed, so the gap is scope and maturity rather than old versus new. Here is the detail on each.
AutoRFP.ai
Strengths
- AI Response Engine drafts responses from your existing content in seconds
- A Trust Score and cited sources on each draft, so reviewers can verify quickly
- Unlimited users on every plan, with no per-seat cost
- Multi-format import and export across Excel, Word, PDF, and web portals
- SOC 2 and ISO 27001 compliance included on all plans
- Integrations across Salesforce, Slack, Teams, SharePoint, Confluence, Notion, Drive, OneDrive, and Box
Where it falls short
- The interface is not intuitive, and it is easy to lose your place in a project
- There is a learning curve that is harder to clear without training
- Keeping content current is manual, with no automated way to flag outdated or conflicting responses
- Complex or free-text source documents often need manual cleanup
- Templates are rigid and hard to adapt across different RFPs
- Reporting is thin, and there is no mobile app
Pricing
- Scale: $899 per month, billed annually, for up to 24 projects per year
- Accelerate: $1,299 per month, billed annually, for up to 50 projects per year
- Enterprise: custom pricing for higher volume
- Every plan includes unlimited users, SSO, integrations, and compliance, with no paid add-ons
Ratings
- G2: 4.8/5 (about 60 reviews)
- Gartner Peer Insights: 4.8/5 (21 reviews)
In reviewers' words
According to G2, Kristen C. said AutoRFP.ai improves collaboration and proposal management, though navigating back to in-progress projects wasn't always intuitive and required some getting used to.
Also Read: AutoRFP vs Inventive AI: Better RFP Software?
HeyIris
Strengths
- Broad scope across RFPs, proposals, and security questionnaires in one tool
- Go or No-Go analysis that reads a long RFP in minutes to support the pursue-or-pass call
- Intelligent Research and War Room interviews that gather buyer and deal context before drafting
- Drafts in your team's voice, with a citation on each claim
- Collaboration built in: routing, SLAs, timestamped approvals, and version control
- Win-loss attribution that traces outcomes to specific content sections
- Reviewers consistently praise ease of use, time savings, and responsive support
Where it falls short
- No mobile app, which reviewers say limits review and collaboration on the go
- Responses can occasionally read as generic and need editing, per some reviewers
- Minor bugs and the odd slowdown on complex projects, as expected from a newer platform
- A few reviewers note integration gaps with certain systems
- Pricing is not published, so you cannot compare costs without contacting sales
- A shorter enterprise track record than more established vendors
Pricing
- HeyIris does not publish list pricing; it is quote-based, so you contact sales for a plan
- Expect pricing to scale with users and scope; confirm what is included before you commit
Ratings
- G2: 4.9/5 (75 reviews)
- Limited presence on other review sites, as a newer product
In reviewers' words
Verified User in Hospital & Health Care, Enterprise (1000+ emp.) — 4.5/5, G2 (Nov 2025)
“Likes that Iris flags "not enough info" instead of fabricating, pulls accurate responses from old RFPs, and was quick to set up. Dislikes that responses can sound robotic and that it merges several past responses instead of picking the single best one.“
On the downside, critical reviews most often point to the missing mobile app, which limits review away from a desk, and a few note that responses can read as generic and need a human edit before they go out.
Also Read: HeyIris vs Inventive AI: RFP Software Compared
How AutoRFP and HeyIris handle each stage of the response.
Both tools use AI across the response, but they apply it to different stages. This section walks through the stages that proposal and security teams screen for.
Reading and qualifying the RFP
AutoRFP.ai: There is no named go or no-go step. You bring the RFP in and start drafting, and qualification happens outside the tool.
HeyIris: This is a core strength. Its Go or No-Go analysis reads a long RFP quickly and summarizes fit, so a team can decide to pursue or pass before investing time.
Drafting the responses
AutoRFP.ai: Its AI Response Engine drafts from your content and attaches a Trust Score and cited sources for fast review.
HeyIris: It drafts in your team's voice and grounds each response in approved content with a citation, though some reviewers say drafts can still read as generic and need editing.
Keeping content accurate
AutoRFP.ai: Limited. It saves approved responses for reuse, but nothing automatically flags outdated or conflicting content, so a person has to catch it.
HeyIris: Citations help reviewers trace a response to its source, but as a newer platform it is less proven at governing a large, fast-changing library.
Collaboration and workflow
AutoRFP.ai: A lighter review workflow that fits small, fast-moving teams.
HeyIris: A deeper workflow layer, with routing, SLAs, timestamped approvals, and version control, built for cross-functional proposals.
Research and competitive context
AutoRFP.ai: Not built in. Research and competitor context are gathered outside the tool.
HeyIris: A clear strength. Intelligent Research and War Room interviews assemble buyer and deal context, and win-loss attribution feeds back into future responses.
Integrations and access
AutoRFP.ai: Connects to Salesforce, Slack, Teams, SharePoint, Confluence, Notion, Drive, OneDrive, and Box, with the roadmap still expanding. Access is web only.
HeyIris: Connects to SharePoint, Drive, Notion, Highspot, Seismic, Zoom, Teams, and Gong, but there is no mobile app yet.
AI-assisted vs AI-native: how much of the response the tool owns
McKinsey estimates that generative AI can automate work activities that absorb 60 to 70% of employees' time. AI by itself is no longer the differentiator; the question is how much of the response the software actually owns.
