HeyIris AI Price, Features, Reviews & Ratings 2026

HeyIris AI is a tool many sales teams use to handle repetitive proposal work. This includes things like RFP answers, security questionnaires, and first drafts of responses.

With AI now widely used in sales, research shows teams adopting it see around a 9.5% increase in sales. This explains why tools like HeyIris have gained attention.

But once proposals go beyond simple drafts, speed isn’t the only issue. Larger RFPs often involve multiple reviewers, shared content, and frequent edits. In these cases, teams can end up fixing answers, chasing versions, or double-checking AI output. This slows things down instead of speeding them up.

This guide breaks down HeyIris AI’s pricing, features, reviews, and limitations for 2026. It also looks at how teams with heavier proposal volumes and stricter accuracy requirements often compare it with platforms like Inventive AI. With Inventive AI's structured and repeatable proposal work, customers report up to 90% faster response times and 50% higher win rates.

Key Takeaways

• HeyIris is an AI RFP and questionnaire platform that helps teams speed up drafting and content reuse for RFx, DDQs, and security questionnaires.
• As RFP volume and complexity increase, it does not clearly document advanced response-quality safeguards. These include deep context modeling across entire RFPs, automated conflict detection, and gold-standard answer benchmarking. As a result, teams often rely more on manual review to maintain consistency.
• The platform supports integrations such as SharePoint and Slack, but integration depth and governance capabilities can vary depending on the use case.
• It centralizes content. But proactive content governance for identifying stale, duplicate, or conflicting answers is not documented. This increases manual maintenance over time.
• Teams choose Inventive AI when response quality matters most because of its four structural pillars. These enable accurate, buyer-ready responses, narrative-style proposals, and scalable governance with minimal rewriting.

HeyIris Overview: Key Features and Pricing

HeyIris is an AI-powered platform designed for deal desks and proposal teams looking to move beyond manual workflows. It positions itself as an "AI-native" alternative to legacy RFP software. This platform focuses on the centralization of institutional knowledge to help teams draft responses more efficiently.

Below are the key features that define this platform:

• The Knowledge Ledger: Acts as a structured system of record that centralizes company documentation and past Q&A pairs to serve as a single source of truth.
• Automated Drafting: Uses generative AI to provide initial responses for standard document formats, including RFIs, RFPs, and security questionnaires.
• Conflict Identification: Includes built-in checks to flag potential inconsistencies between new drafts and existing information in the ledger.
• Core Workflow Management: Provides a collaborative workspace where teams can assign tasks, track progress, and manage deadlines in one centralized hub.

Now that we've seen how HeyIris streamlines your workflows, let's dive into how its pricing matches the value it delivers.

Pricing Breakdown

Unfortunately, HeyIris does not publish pricing, plans, or usage limits publicly. Customers must contact sales for a custom quote based on requirements.

However, if your team size, workflow complexity, or need for advanced integrations and enterprise capabilities grows, you’ll likely move into the platform’s custom pricing. As organizations scale, costs typically increase with the number of paid user seats and integration requirements, so budgeting ahead is important.

For smaller teams, the first step is to understand how many user seats you actually need. Next, identify which integrations are essential for your day-to-day workflow. It’s also important to consider the number of RFPs or questionnaires you handle each year. Looking at these factors together helps you estimate the true cost of ownership. It also makes it easier to assess ROI and choose a platform that supports both current work and future growth.

How Inventive AI Outperforms HeyIris?

Inventive AI is different; it goes beyond just writing text to make sure every answer is accurate and high-quality enough to win the deal. As RFPs get more complicated and involve more people, basic AI tools often can’t keep up.

With a consistent 5-star rating on Gartner Peer Insights, it’s recognized by all kind of teams from small companies to large enterprises for its precision, scalability, and transformative impact on RFP workflows.

Below are the core areas where Inventive AI stands apart:

1. 2× Better Response Quality Drives Higher Win Rates

Inventive AI is built with one primary goal: response quality. Their internal benchmarks show Inventive AI consistently delivers 2× higher-quality responses compared to productivity-first tools like HeyIris. Better answers lead to higher evaluator confidence, stronger differentiation, and ultimately higher win rates. This is why teams using Inventive AI report materially better outcomes, not just faster drafts.

2. Context Engine Helps Deliver 95% Accurate Answers

Most RFP tools, including HeyIris, rely on shallow ChatGPT or RAG-based lookups that answer questions in isolation, often resulting in generic or surface-level responses. Inventive AI uses multi-layer reasoning to understand the full RFP context. This includes buyer intent, evaluation criteria, and cross-section dependencies. Inventive AI helps produce accurate, tailored answers that feel like a human SME wrote them. With Inventive AI, you will have 95% accuracy.

3. Conflict Detection Helps Prevent Risky Errors Before Submission

Most RFP tools do not detect internal contradictions across answers. As a result, teams have to rely on manual reviews, which increases the risk of inconsistent or conflicting responses. Inventive AI automatically flags conflicting statements across the entire RFP in real time. This helps teams avoid high-risk errors, reduce rework, and improve overall response quality.

4. Zero-Hallucination Responses With Inline Citations

Inventive AI delivers 0% hallucinations by linking every AI-generated statement to an approved source in your knowledge base. Each answer is backed by traceable references such as prior RFP responses, product documentation, or policy files. Reviewers can instantly verify where information comes from, making such verification critical for security questionnaires and regulated industry proposals.

5. 66% Near-Zero Edits

Inventive AI includes automated Quality Benchmarking and Outdated Content Detection, ensuring answers meet accuracy and completeness standards before reviewers ever see them. More than 66% of Inventive-generated answers require little to no editing. This allows proposal teams to focus on strategy and differentiation instead of cleanup work.

This is how the two platforms differ: HeyIris focuses on helping teams draft responses faster and collaborate more efficiently. Inventive AI goes further by ensuring those responses are higher quality, context-aware, and accurate enough to improve win rates.

Here's what Inventive AI's customers have to say about its efficiency:

HeyIris Strengths and Weaknesses

HeyIris is designed to help teams respond faster to RFPs and questionnaires by centralizing content and using AI to assist with drafting and retrieval. It works for individuals and smaller teams that want to reduce manual effort in proposal responses without heavy setup or process overhead.

However, when proposal volume, compliance requirements, or cross-functional complexity increase, teams often need deeper workflow control, stronger content governance, and higher response-quality safeguards.

Here's what people say about HeyIris on G2:

G2 Ratings: 4.9/5

Strengths

• Simple onboarding and ease of use make it accessible for small teams without complex implementation or technical setup.
• AI-assisted drafting and retrieval that helps speed up responses to RFPs, RFIs, and questionnaires using existing content.
• Centralized workspace for proposal-related content, reducing the need to search across multiple tools during response cycles.
• Slack and email integrations that allow teams to initiate or manage proposal work within familiar tools.
• Useful productivity gains for teams handling moderate RFP volumes who prioritize speed and simplicity over deep governance.

Weaknesses

• While it supports basic RFP and questionnaire workflows, it lacks the structured intake → drafting → SME review → legal/security approval orchestration required for complex, multi-team proposals.
• Versioning and collaboration exist, but multi-stage approvals, conflict resolution, and role-based review controls are less granular, creating friction for legal, security, and compliance-heavy reviews.
• It does not prominently support inline, source-linked citations for every generated statement, requiring reviewers to manually validate answers in regulated or high-risk submissions.
• The platform does not systematically identify contradictory answers or benchmark response quality against gold-standard content, increasing manual review and rewrite effort.
• While it can ingest and reuse content, it does not actively manage large RFP libraries by detecting duplicates, stale content, or inconsistencies across answers.
• As RFP volume and complexity grow, teams often rely more on manual checks, handoffs, and validation. This slows down response cycles and increases operational load.

HeyIris has some limitations which people talk about on G2:

HeyIris can feel slow at times, and its output quality depends heavily on the content you’ve already provided. Because the platform focuses on pulling from internal data, it requires a well-maintained library and still struggles with nuanced writing, tone control, and handling visual or graphical elements.

Must Read: AI for Sales Engineering: Top 9 Tools, Use Cases, and Proven ROI

Why HeyIris is not Enough for Enterprise-Level Needs?

As proposal operations scale across departments, regions, and compliance requirements, teams need more than speed. They need consistency, governance, and response quality at scale. This is where HeyIris begins to show limitations for enterprise-level use cases.

Here are some of the core challenges growing organizations experience with this platform:

Limited Response Quality Controls at Scale

The platform provides AI-assisted drafting and content reuse capabilities. Its documentation does not clearly outline safeguards for response quality at scale. Capabilities such as full-RFP context modeling, conflict detection, and benchmarking are not explicitly described. As a result, enterprise teams often rely on extensive manual reviews to ensure answers are consistent, accurate, and aligned across large, complex RFPs.

Lightweight Governance for Multi-Team, Compliance-Heavy Workflows

It supports collaboration across proposal teams. However, workflow controls such as multi-stage approvals and granular role permissions are more limited. Conflict resolution and audit-ready governance are also lighter than what enterprise teams typically require. As more stakeholders are involved, coordinating reviews, approvals, and accountability becomes more difficult.

Limited Knowledge Lifecycle Management for Large RFP Libraries

The platform can ingest and reuse content, but it does not actively manage the full lifecycle of large RFP knowledge bases. Capabilities such as detecting outdated answers, identifying duplicate or conflicting content, and continuously optimizing libraries are not clearly documented. As content volume grows, teams spend more time manually validating and maintaining answers across proposals.

Inventive AI scales response volume without increasing manual checks. Teams respond up to 90% faster while maintaining high accuracy. This reduces rewrites and leads to stronger win rates.

Inventive AI: The Right Proposal Platform for Modern RFP Teams

HeyIris is useful for individuals and small teams looking to speed up proposal-related work through basic drafting assistance and content reuse. Its clean interface and ease of onboarding make it suitable for lighter RFP and questionnaire workloads where speed and simplicity are the primary goals.

However, as teams begin managing high-volume RFPs, detailed security questionnaires, or multi-department proposal workflows, limitations become more apparent. Increased complexity demands stronger context awareness, tighter collaboration, and more reliable accuracy controls than productivity-first tools are designed to provide.

This is where Inventive AI makes a measurable difference. Inventive AI is built to support teams of all sizes handling complex, high-stakes RFPs and questionnaires, using contextual intelligence, multi-agent automation, and scalable knowledge governance to drive better outcomes:

• Deliver RFP and RFI responses up to 90% faster.
• Increase win rates by up to 50%, as seen in customer case studies.
• Maintain 95% contextual accuracy with near-zero hallucinations.
• Eliminate outdated content and reduce manual editing by over 66%.
• Enable seamless collaboration across sales, solutions, legal, and security teams.

FAQs

1. Can HeyIris be used for managing security questionnaires or compliance documents?

HeyIris helps teams draft and respond to security questionnaires and compliance documents. However, it does not clearly document features like automated conflict detection, source-linked citations, or response quality checks. These controls are important for high-risk or regulated submissions. Teams that need stronger accuracy and audit readiness often choose platforms like Inventive AI.

2. Does HeyIris maintain a centralized knowledge base for long-term proposal reuse?

HeyIris offers a central place to store and reuse proposal content. However, it does not clearly explain whether the platform automatically finds outdated, duplicate, or inconsistent answers. As content grows over time, this can make it harder for teams to keep large RFP libraries accurate and up to date.

3. Can HeyIris handle multiple simultaneous RFP projects across global teams?

HeyIris supports collaboration across multiple RFPs. As proposal operations expand across departments or regions, workflow depth becomes more limited. Approval orchestration and governance controls are also lighter than what complex, multi-team environments typically require.

4. What happens when our RFP volume grows over time? Can HeyIris scale with it?

HeyIris can certainly handle more documents, but as you scale, the quality control work usually falls back on your human experts. Inventive AI is designed to take that manual review work off your plates.