AutoRFP.ai vs Inventive AI (2026): pricing, features and verdict

Of all the pairs in this guide, AutoRFP.ai and Inventive AI look the most alike on a feature grid. AutoRFP.ai is the accuracy-first tool for writing winning responses in a workflow that is easy to run. Both are AI-native response platforms built in the last few years. Both draft RFPs, DDQs, and security questionnaires from your own content, attach sources to every answer, flag questions they cannot support instead of guessing, and include unlimited users. If you stop at the grid, you will call it a coin flip.

Look past the grid and four differences show up. The two differ on how you pay, which certifications the company itself holds, where the drafting engine gets its knowledge, and how each vendor talks about accuracy. Those four differences decide most deals, so that is where this comparison spends its words. Everything here was checked against each vendor’s own pages in October 2026.

Key takeaways

• Pricing shape: AutoRFP.ai lists two fixed annual plans, $899 a month for 24 projects or $1,299 a month for 50, with implementation in the price and a 30-day money-back guarantee. Inventive AI starts at $10K/year: a flat platform fee plus usage fees per RFP and security questionnaire, with unused RFPs rolling over, quoted on a 15-minute call.
• Certifications: AutoRFP.ai holds ISO 27001:2022 and SOC 2 Type II. Inventive AI holds SOC 2 Type II; the ISO 27001 on its security page belongs to its cloud hosting providers.
• Knowledge model: AutoRFP.ai keeps a library that files every approved answer automatically and syncs selected content from connected sources. Inventive AI drafts from connected knowledge and runs an AI Content Manager, labeled Beta on its homepage, to flag conflicting or outdated answers.
• Where Inventive AI is stronger: a dedicated compliance-checking agent for security frameworks, Jira, Zendesk, and Dropbox connectors, and published zero-data-retention agreements with OpenAI and Anthropic.
• Limitations: AutoRFP.ai caps projects per plan and exports PDF work as Word. Inventive AI does not publish its per-RFP rates, and it states its accuracy as both “over 95%” and “over 90%” without a method.

Why buyers shortlist both

Start with what they share, because it explains the shortlist.

Both tools draft from your content rather than from the open model. AutoRFP.ai drafts from your approved library, uploaded documents, and past projects, and reuses an approved answer word for word when one already fits. Inventive AI’s Response Agent, per its security questionnaire page, “Drafts every answer from your connected knowledge, with a source and a confidence score.”

Both show their work. In AutoRFP.ai, every line of a draft is marked as coming from a source file, a colleague, or the AI, and each draft gets a Trust Score. Inventive AI puts a citation and a confidence score on every answer.

Both stop when the content runs out. AutoRFP.ai withholds a draft it cannot support and flags the question for the team. Inventive AI says that when supporting knowledge is missing, “the agent flags it instead of guessing.”

Both price away from seats. AutoRFP.ai includes unlimited users on every plan, and Inventive AI says “Every plan includes unlimited users, so you never have to worry about seat licenses.”

So the feature grid really is close. After a quick look at who is behind each company, the four differences get a section each.

Company footing

Both are young companies, so look at who is behind each one before you hand over your content.

Inventive AI was founded in 2023 in Mountain View, California, and raised a $4 million seed round in 2024 led by Sierra Ventures. Its named customers include HiBob, Culture Amp, Ironclad, Spectro Cloud, and Rad AI, which reads as a software-heavy book of business.

AutoRFP.ai was founded in 2022 in Brisbane, Australia. As of July 2026 it holds 4.8 out of 5 on G2 across 60 reviews and 4.8 on Gartner Peer Insights across 20. Its stated focus is software and finance teams whose RFPs arrive as Word or Excel files.

Neither has the decade of enterprise history that Loopio or Responsive carry. If longevity is your top criterion, that is a different shortlist.

Pricing: a published plan versus a platform fee plus usage

AutoRFP.ai puts the numbers on the page: $10,788 a year for Scale ($899 a month, 24 projects) or $15,588 for Accelerate ($1,299 a month, 50 projects), paid yearly, with a custom Enterprise tier above. Each bid counts once no matter how long it runs, and its clarifications and amendments ride along in the same project. Every plan includes all features, implementation, and support, and there is a free 14-day proof of concept on your own documents plus a 30-day money-back guarantee.

Inventive AI shows a starting point. Its pricing page says “Plans start at $10K/year,” made up of a fixed platform fee that “covers setup, onboarding, and access to all features,” then usage fees: “Only pay for the RFPs & SecQ you work on.” Unused RFPs “roll over to the next month and even into the next year.” The per-RFP rate is not published; you book a 15-minute call for a custom quote.

At the entry level, the two land in the same neighborhood. The difference is predictability. With AutoRFP.ai, you know the full annual number before the first call. With Inventive AI, $10K a year is where quotes begin and the total depends on volume, which suits a team whose bid count swings a lot, especially with rollover protecting slow months. Ask Inventive AI for a quote at your real annual volume and at 1.5 times that, so the growth case is on paper too.

Security credentials and data handling

This is a short section with a big consequence if your buyers send ISO-heavy questionnaires.

AutoRFP.ai holds ISO 27001:2022 and SOC 2 Type II as a company, and customers can choose hosting in the US (Oregon), the EU (Frankfurt), or Australia (Sydney).

Inventive AI’s security page says “We are SOC 2 Type II compliant, with the audit carried out by an independent firm.” The ISO 27001 mention on the same page describes its cloud providers: they “are SOC 1, SOC 2, ISO 27001 and PCI Level 1 compliant among others.” That is a normal posture for a young company, and SOC 2 Type II satisfies many buyers. It is a gap only if your own customers ask for the vendor’s ISO certificate.

Credit where it is due: Inventive AI states it has custom enterprise agreements with OpenAI and Anthropic “ensuring zero data retention,” and that it does not use customer data to train generalized models. That is a clear, quotable answer to the question every security reviewer asks first.

Where the knowledge comes from

Here the products start to feel different in daily use.

Inventive AI leans on connected systems. Its homepage says it can work from “live syncs from SharePoint, Google Drive, or Notion” or uploaded documents, and adds “if you still want to use Q&A pairs, we support that too.” On top of that, a Content Governance Agent “detects outdated, conflicting, and duplicate answers,” and the homepage’s AI Content Manager scans knowledge sources to flag conflicting or outdated answers. That last feature is marked Beta on the homepage, so weigh it as a preview.

AutoRFP.ai keeps an actual library, then does most of the filing for you. Approving a response saves it for reuse on its own, files it under the project, replaces the customer’s name with a placeholder, carries its tags forward, and skips near-duplicates. Connected sources (SharePoint, OneDrive, Google Drive, Confluence, Notion, and more) sync the content an admin selects on a daily cadence. If you are leaving Loopio, Responsive, or Qvidian, AutoRFP.ai detects their library exports and imports them with categories and metadata intact.

Which is better depends on the state of your content. If your truth lives in well-kept wikis and drives, drafting straight from them is attractive. If your truth is scattered and you want the approved answer to be the durable record, a library that fills itself as you approve is the safer bet. This guide rates AutoRFP.ai stronger on the answer library itself.

Drafting, confidence, and the accuracy numbers

Both tools give you a per-answer signal. AutoRFP.ai’s Trust Score reflects how strongly the best matching source supported the answer, and the breakdown shows whether it was an AI draft, verbatim reuse, web research, or a human edit, along with tag match and content age. Inventive AI attaches a confidence score and a citation, and its Review Agent checks the full response “for contradictions and gaps before you submit.” That review agent is a genuinely useful idea on a long bid.

Where they differ is how they talk about results. Inventive AI’s homepage headline pairs “95% Accurate AI Responses” with a promise of no hallucinations. Its FAQ answer to “How accurate are the AI-generated responses?” says the software “achieves over 95% accuracy” and, in the same answer, “delivers over 90% accuracy” (read October 2026). The homepage also cites “50% Higher Win Rates” and “90% Faster Response time,” and the pricing page says teams “typically see 5-10x ROI within months.” None comes with a stated method or dataset.

AutoRFP.ai does not publish an accuracy percentage. It explains how it gets there instead: by default it drafts only from approved material, cites every answer, holds back drafts that score too weak, and marks individual sentences its sources do not support. Searching the web is something a user switches on deliberately, and those answers say so.

Our take: a percentage tells you how often a vendor thinks it is right, and a per-answer signal tells you which answer to check. Taken at face value, 95% still means about one answer in twenty needs fixing, so test both tools on your own files and count.

RFPs, DDQs, and security questionnaires in practice

RFPs. Both cover the full RFP. Inventive AI runs agents across “the entire RFP lifecycle” and prices per RFP. AutoRFP.ai imports Word, Excel (including macro-enabled workbooks), PDF, and zip bundles, and its original-file export writes answers into the cells and paragraphs the issuer sent with formulas, macros, and dropdowns intact. PDFs are answered in the product and export as Word.

DDQs. Inventive AI’s DDQ page covers investor (LP) and customer DDQs and says the intake agent “parses multi-tab spreadsheets with hundreds of questions and exports your answers back into the original file.” It also flags a number that changed since your last submission, a thoughtful touch for investor relations teams. AutoRFP.ai handles DDQs as projects like any other bid, with the same citation trail and original-file export.

Security questionnaires. This guide rates Inventive AI a notch stronger here. Its Compliance Checker Agent checks answers against SIG, CAIQ, NIST 800-171, ISO 27001, and other frameworks, and it works in Excel, Word, PDF, or directly in a buyer’s portal. AutoRFP.ai covers security questionnaires through the same project workflow and its Portal Agent browser extension, which recognizes portals such as OneTrust, UpGuard, and SAP Ariba. It does not ship a trust center; it connects to Drata and Vanta so approved compliance context flows into answers.

Integrations

Both connect to the usual suspects: Salesforce, HubSpot, Slack, Microsoft Teams, SharePoint, OneDrive, Google Drive, Confluence, and Notion.

Inventive AI adds Jira, Zendesk, and Dropbox, which matters if engineering tickets or support articles hold your freshest technical answers.

AutoRFP.ai adds Microsoft Dynamics 365, compliance links to Drata and Vanta, Okta sign-in, and an MCP server that lets assistants like Claude, ChatGPT, or Copilot look things up in your approved answers. Its Salesforce app shows live RFP status on the opportunity and can start a new intake from it. In Slack and Teams, it carries assignments, review requests, @mentions, and deadline reminders, which is also where this guide rates AutoRFP.ai’s approval workflow ahead of Inventive AI’s.

Known issues and watch-outs

Each item below links to the page it came from.

Inventive AI

• Usage rates are unpublished. Only the $10K/year starting point is public; per-RFP and per-questionnaire fees come from a sales call (Inventive AI pricing, October 2026).
• No company ISO 27001. Its own certification is SOC 2 Type II; the ISO 27001 on its security page refers to its cloud providers (Inventive AI security, October 2026).
• Content Manager is Beta. The AI Content Manager that flags outdated or conflicting information is labeled Beta on the homepage (October 2026).
• Accuracy claims without a method. “95% Accurate AI Responses” in the headline, and both “over 95%” and “over 90%” in one FAQ answer (homepage, October 2026).

AutoRFP.ai

• A year at a time. Contracts run at least 12 months once the first 30 days pass, and plans are paid yearly (AutoRFP.ai pricing, October 2026). To claim the refund in that first month you need to have genuinely tried it: three past responses imported, two users invited, one project created, five answers approved, one export.
• Bid allowance. The published plans stop at 50 projects a year (24 on Scale); heavier volume means an Enterprise negotiation (AutoRFP.ai pricing, October 2026).
• PDF out means Word out. Imported PDFs are answered in the product and exported as Word documents.
• Scope. No bundled trust center, and not built for long persuasive narrative or US federal capture management (AutoRFP.ai profile).

Choose Inventive AI when

• Your bid volume swings month to month and rolling unused RFPs forward is worth more to you than a fixed annual number.
• Your technical truth lives in Jira, Zendesk, or Dropbox, and you want drafts pulled from there.
• Security questionnaires dominate, and a framework-level compliance check before submission matters to your team.
• Investor DDQs are a big stream, and flagging changed figures since the last submission saves real pain.
• SOC 2 Type II plus published zero-data-retention terms with OpenAI and Anthropic satisfy your buyers.

Choose AutoRFP.ai when

• You want the full price published and budgeted before the first call, with implementation included.
• Your buyers ask for the vendor’s own ISO 27001 certificate, or you need EU or Australian hosting.
• You want approved answers to become a durable, self-filing library, especially if you are migrating from Loopio, Responsive, or Qvidian.
• Several reviewers sign off on each bid, and you need assignments, reminders, and a recorded approval trail.
• You would rather judge accuracy on your own documents in a free 14-day proof of concept than on a published percentage.

Bottom line

On paper these two are neighbors. In practice, Inventive AI fits a team that wants usage-flexible pricing, drafts drawn straight from connected tools like Jira and Zendesk, and a framework-aware check on security questionnaires. AutoRFP.ai fits a team that wants a published price, company-level ISO 27001 and SOC 2 Type II, a library that files approved answers on its own, and a line-by-line trail that a reviewer can check in seconds.

The cheapest way to settle it is the same for both: run your last real RFP and your last security questionnaire through each tool, count the answers you had to fix, and open the exported files in Excel and Word before anyone signs anything.

Read the full AutoRFP.ai review or Inventive AI review, or browse all RFP & DDQ software.