A side task becoming a queue
Inventive AI fits occasional questionnaire work. Once bid, proposal, or SE leaders own a live queue, intake, approvals, workload, and reporting become the job.
The best Inventive AI alternative
Inventive is a writing tool for occasional questionnaires handled as a side task. AutoRFP.ai is the platform for bid managers, proposal teams, and larger SE teams that run a real response queue.
4.9 (60)
Ranked #44 of 151,264 fastest-growing software products on G2
AutoRFP.aiAI-native
- Certifications
- SOC 2 Type II + ISO 27001
- Standout
- Accuracy-first AI response engine
Inventive AI
AI-native RFP automation
- Certifications
- SOC 2 Type II
- Standout
- Low-volume questionnaire automation
- Your email
- Your info
- Let's talk
Challenges
Struggling with Inventive AI
Operations hidden behind activity
A bid lead needs automation rate, workload, ROI, and recurring gap analysis, not just a list of generated responses.
Enterprise access requirements
SOC 2 and SAML cover part of the review. Larger response teams also need ISO 27001, SCIM, a public Trust Center, public subprocessors, regional hosting, and granular permissions.
So, if you're reviewing your options and looking for an alternative to Inventive AI, keep reading…
Comparison
Why winners switch to AutoRFP.ai
One platform for the response year
Salesforce intake, in-product approvals, Slack and Teams collaboration, exact-format export, connected content, and MCP keep the queue in one platform.
Visibility for the bid lead
Automation rate, workload, ROI, scheduled reports, and gap analysis show how the response function is performing and where it needs attention.
Security a CISO can clear
AutoRFP.ai publishes ISO 27001:2022, SOC 2 Type II, GDPR controls, a Trust Center, subprocessors, SCIM, SSO, SAML, and regional hosting.
In the product
What a bid team can test this week
Bring one live questionnaire and ask each vendor to show these three artifacts.
'%20d='M10.913%2053.581h109.15c6.028%200%2010.914%204.886%2010.914%2010.913v109.151c0%206.027-4.886%2010.913-10.913%2010.913H10.913C4.886%20184.558%200%20179.672%200%20173.645V64.495C0%2058.466%204.886%2053.58%2010.913%2053.58'/%3e%3cpath%20fill='%23fff'%20d='M94.208%2095.125h-21.82v59.416H58.487V95.125H36.769V83.599h57.439z'/%3e%3c/svg%3e)
Salesforce intake
The opportunity opens the project, so intake and audit history stay together.
Review in Teams
The request reaches the reviewer in Teams. The approval stays in the project.
Sourced answer in Claude
Claude asks through MCP and the reply shows the governed source.
Comparison
Key differences
A side-by-side look at the capabilities that decide RFP, DDQ, and security-questionnaire outcomes.
Response Volume
Some teams only open a questionnaire a few times a year. Inventive's case studies publish named customer volumes. MaxVal is written as 10-15+ RFPs and security questionnaires per quarter. AssetWorks is written as roughly 30 RFPs per year. This table asks whether the product is built for those published volumes, or for a queue that stays full.
As the pile grows, library freshness stops being optional. A small-queue buyer can close the current workbook and walk away. A live queue needs approved answers to flow back into the library before the next file arrives. On August 17, 2026, Inventive's features page marked its self-updating knowledge base as Beta.
Occasional questionnaires versus a live queue, including library upkeep and file import.
| Capability |  AutoRFP.ai | Inventive AI |
|---|---|---|
| Built for small business | No | Yes MaxVal: 10-15+ RFPs and questionnaires a quarter; AssetWorks: ~30 RFPs a year |
| Scalable to Enterprise | Yes | No |
| Self-cleansing library that learns from approved answers | Yes | Partial Self-updating knowledge base is labeled Beta |
| Import RFPs from tens of formats | Yes | Partial Lists Excel, PDF, PPTX and portals |
Collaboration Scale
This cut is about who must hold a login. Occasional work can stay with the people already on the questionnaire. A named response function still needs every reviewer in the same system, even when they sit in one office.
The table also lists Slack and Microsoft Teams, because a reviewer may already be watching those channels.
Inventive's pricing page includes unlimited users, which fits a small circle that already shares a thread. Support hours and regional hosting sit in Implementation & Support.
Who must hold a login: unlimited users, plus Slack and Microsoft Teams.
| Capability | AutoRFP.ai | Inventive AI |
|---|---|---|
| Unlimited users (no per-seat fees) | Yes | Yes |
| Slack | Yes | Yes Published Slack RFP automation page |
| Microsoft Teams | Yes | No No published Teams integration |
Capabilities Compared
Here the question is what the product does to the file in front of you: AI-native drafting, translation, conflict handling, and whether a price is listed. Inventive is a fair starting point when the job is a handful of questionnaires and a generated draft is enough.
AutoRFP.ai lists 44+ languages and public Scale and Accelerate plans. Inventive's pricing page states a $10,000 per year start; the usage rate per project is not published.
What the product does on a file: AI-native drafting, translation, conflicts, and public price.
| Capability | AutoRFP.ai | Inventive AI |
|---|---|---|
| AI-native platform (built on generative AI, not added later) | Yes | Yes |
| Built-in translation and localization (44+) | Yes | No No published localization set |
| AI Conflict Queue | – Not required as conflicts are resolved automatically | Yes |
| Automatic conflict resolution | Yes | No |
| Public, transparent pricing | Yes | No Start is public; usage rate is quote-only |
Information Security
A security reviewer will ask for certifications, permission depth, and how answers are grounded. Inventive's security page lists SOC 2 Type II, SAML, and general user roles, which can clear a light questionnaire.
The rows below add ISO 27001, SCIM-grade access, and whether drafts stay tied to approved content. Read them as the InfoSec shortlist, then use the Trust Center links later on this page for the packet.
What InfoSec will check: certifications, permissions, and answer grounding.
| Capability | AutoRFP.ai | Inventive AI |
|---|---|---|
| Zero hallucination by design (100% source-grounded answers) | Yes | Partial Flags unsupported gaps |
| Enterprise Permissions | Yes | Partial General user roles |
| SOC 2 Type II certified | Yes | Yes |
| ISO 27001 certified | Yes | No |
Reporting & Insights
When someone owns the queue, they need a view of automation, workload, and recurring gaps. A list of generated drafts is not enough to plan capacity or explain the year to management.
Inventive's G2 page, as of August 17, 2026, lists Insufficient Analytics (22) and Poor Reporting (18) among its cons tags. The rows below cover enterprise, workload, and win/gap analysis reporting.
What a bid lead can see across the queue: automation, workload, win/gap analysis, and enterprise reporting.
| Capability | AutoRFP.ai | Inventive AI |
|---|---|---|
| Enterprise Reporting | Yes | No G2 Poor Reporting (18), Aug 2026 |
| Workload Reporting | Yes | No No published workload reporting |
| Win/Gap Analysis Reporting | Yes | No No published win/gap reporting |
Implementation & Support
After the first file, the question is whether the vendor can onboard the team and cover the hours and regions those reviewers already work in. Occasional work can live with a single office. A dedicated function usually cannot.
AutoRFP.ai publishes 24/6 support and hosting in the Americas, EMEA, and APAC. Inventive's public pages list US hosting. The rows below are those published coverage facts.
Published support hours and data hosting for the Americas, EMEA, and APAC.
| Capability | AutoRFP.ai | Inventive AI |
|---|---|---|
| Dedicated support team (24/6) | Yes | No No published support team |
| Data hosting and support (Americas) | Yes | Partial US hosting; no published support office |
| Data hosting and support (EMEA) | Yes | No |
| Data hosting and support (APAC) | Yes | No |
Comparison based on public product information and verified user reviews as of August 2026. – indicates the capability isn't clearly documented, or that the row does not apply.
Pricing
Transparent pricing, right here
Scale
$899/mo
paid yearly
- 24 Projects per Year
- Unlimited AI
- Unlimited Content
- Unlimited Users
- All Features
- SSO (Google & Microsoft)
- 18+ Integrations
- ISO 27001:2022 & SOC 2
- Unlimited Support
- Online Training
Accelerate
$1,299/mo
paid yearly
- 50 Projects per Year
- Unlimited AI
- Unlimited Content
- Unlimited Users
- All Features
- SSO (Google & Microsoft)
- 18+ Integrations
- ISO 27001:2022 & SOC 2
- Unlimited Support
- Online Training
Enterprise
Flexible pricing that scales with your business
- Scalable Projects per Year
- Unlimited AI
- Unlimited Content
- Unlimited Users
- All Features
- SSO (Google & Microsoft)
- 18+ Integrations
- ISO 27001:2022 & SOC 2
- Unlimited Support
- Bespoke Implementation
- Bespoke Terms
FAQ
Frequently asked questions
What is the best Inventive AI alternative?
AutoRFP.ai is the Inventive AI alternative for bid managers, proposal teams, and larger SE teams that need to run a sustained response queue. It connects Salesforce intake, approvals, Slack and Teams collaboration, exact-format export, content, MCP, reporting, and security controls in one platform.
How much does Inventive AI cost?
Inventive AI says plans start at $10,000/year. A fixed platform fee covers setup and feature access, then usage charges scale with RFP and security-questionnaire volume. Unlimited users are included, unused credits roll over, and the site does not publish the per-project rate. AutoRFP.ai publishes Scale at $899/month and Accelerate at $1,299/month, paid yearly, with unlimited users.
Which workload is Inventive AI built for?
Inventive publishes two case-study volumes. MaxVal is 10-15+ RFPs and security questionnaires per quarter. AssetWorks is roughly 30 RFPs per year. Insider and RAD AI do not add a quarterly or annual figure.
What does AutoRFP.ai add for a dedicated bid team?
AutoRFP.ai brings work in through Salesforce, manages assignments and approvals in the product, collaborates through Slack and Microsoft Teams, returns Excel and Word files in the issuer's format, keeps content connected, and reports automation rate, workload, ROI, and recurring gaps.
How do the security controls compare?
AutoRFP.ai publishes ISO 27001:2022, SOC 2 Type II, GDPR controls, a public Trust Center, public subprocessors, regional hosting, SCIM, SSO, SAML, and role-based permissions. Inventive publishes SOC 2 Type II, SAML, and general user roles. Its security page names OpenAI and Anthropic, and attributes ISO 27001 to its cloud providers.
How does AutoRFP.ai use MCP?
AutoRFP.ai's MCP server makes the same governed response knowledge available in Claude, ChatGPT, Microsoft Copilot, and Gemini. Teams use one permission-aware knowledge layer instead of pasting source material into separate chats.
What do Inventive AI reviews say about operations?
As of August 17, 2026, Inventive AI has a 4.9/5 from 59 G2 reviews. The same G2 page lists Insufficient Analytics (22), Poor Reporting (18), and Access Management (4) as cons tags.
How should a buyer choose between AutoRFP.ai and Inventive AI?
Inventive is a fit when questionnaire work is occasional and has no owner. AutoRFP.ai is the platform a bid, proposal, or SE team runs once they own the queue.
The bottom line
Inventive’s published case studies give two volume figures. MaxVal handles 10-15+ RFPs and security questionnaires per quarter. AssetWorks responds to roughly 30 RFPs per year. Those are the counts Inventive puts on the page. Insider and RAD AI do not publish one.
AutoRFP.ai is chosen by bid managers, bid teams, proposal teams, and larger solutions engineering teams. These teams own a queue. Response work is part of their operating model, not a task added to somebody else’s role.
The comparison tables on this page follow response volume, collaboration scale, capabilities, information security, reporting and insights, and implementation and support. Sources are public product, pricing, and security pages; Inventive’s G2 page as of August 17, 2026; and dated Inventive homepage captures from the same day.
A real queue needs a system for the year
The work starts before anybody writes an answer. Salesforce carries the opportunity and intake. Assignments, comments, approvals, and audit history live in the response project. Slack and Microsoft Teams bring review requests to the people who owe them. The completed Excel or Word file goes back in the format the issuer requested, and portal questionnaires stay part of the same project.
Content remains connected to SharePoint, Google Drive, OneDrive, Box, Confluence, Notion, Zendesk, and other governed sources. The Q&A Agent uses the same permission-aware knowledge inside Slack and Teams. AutoRFP.ai’s MCP server makes that knowledge available in Claude, ChatGPT, Microsoft Copilot, and Gemini, so the company does not create a separate paste-based answer process for every assistant.
Response Accuracy
Accuracy claims help a buyer only when the method, the denominator, and the handling of unsupported answers are public. Inventive’s homepage puts “95% Accurate AI Responses” beside an absolute claim about hallucinations. A product that is 95% accurate is about 5% inaccurate. The two positions appear together on the same public page.
Inventive homepage, captured August 17, 2026: “95% Accurate AI Responses & Zero Hallucinations” and “Users report up to 50% higher win rates with significantly better, submission-ready answers.”
Zero hallucination by design: AutoRFP.ai drafts from content the team has approved, shows a Trust Score, cites the source passage, and marks unsupported questions No Search Results at zero trust for a person to resolve.
The short bake-off uses three artifacts: plant conflicting values for one control, ask a question with no source and require no generated answer, then export the completed responses into the issuer’s Excel file.
Reporting & Insights
A response leader planning the year needs automation rate, workload, modeled ROI, project performance, and recurring compliance gaps, plus scheduled reports whose ROI assumptions stay visible. That is the operating picture behind a live queue.
On August 17, 2026, Inventive’s G2 listing showed Insufficient Analytics (22), Poor Reporting (18), and Access Management (4) as cons tags. Those tags show up when occasional questionnaire work becomes an owned function.
Implementation & Support
Getting live is part of the same buyer cut as staying covered: where the vendor implements, which hours they staff, and which regions they host. Implementation is staffed from Stockholm, Vancouver, New York, and Brisbane, with published 24/6 support and Americas, EMEA, and APAC hosting.
The customer base reaches Silicon Valley and Wall Street response teams, a top-three global fintech, several top-twenty private equity funds, and Fortune 500 programs. Trust Score, gap analysis, configurable go/no-go, exact-format return, and MCP are already in the product.
A dedicated team can prove the rest in one week: Salesforce intake, a Teams approval, a nested workbook export, a portal return, SCIM provisioning, an MCP answer in the assistant they already use, and a scheduled operations report.
Security is part of the response job
AutoRFP.ai publishes ISO 27001:2022, SOC 2 Type II, GDPR controls, regional hosting, and a public Trust Center. Its subprocessor register names the services involved. Identity and access cover SCIM, SSO, SAML, and permission boundaries that apply to both people and retrieval. The Trust Center states that AI models run through Azure, Google, and AWS services under enterprise controls.
Inventive’s security page names OpenAI and Anthropic as model providers. The ISO 27001 statement on that page describes the cloud providers that host its infrastructure, not an Inventive ISO 27001 certification. OpenAI’s March 20, 2023 outage write-up said some users could see another active user’s chat-history titles, and that payment-related details of some ChatGPT Plus subscribers may have been visible. OpenAI’s July 21, 2026 write-up said evaluation models operating in a sandbox obtained open internet access and then reached Hugging Face production systems. Anthropic’s July 30, 2026 write-up said a Claude model reached the internet from a third-party evaluation environment in three incidents, then gained unauthorized access to the real systems of three organizations.
Fintech, healthtech, and DDQ answers have to be true
In fintech, bank and processor questionnaires are representations about the business. FintechOS Bid Manager Mihai Popa reports a 60% time reduction with AutoRFP.ai. Inventive publishes a fintech SEO page and logos, but no named fintech case study.
In healthtech, Cubiko Head of Sales and Marketing Bryn Tardent-Powell cut a security questionnaire from one week to one hour. MedeAnalytics auto-answered 75% of a questionnaire with more than 1,000 questions. Inventive’s named healthcare case is RAD AI.
For ILPA and AIMA DDQs, the requirement is the same: return the original Excel workbook and withhold an unsupported answer instead of submitting a false yes on a control.
Pricing follows the same buyer cut
Inventive pricing starts at $10,000 per year. A fixed platform fee covers setup and access, usage charges scale with RFP and security-questionnaire volume, unlimited users are included, and unused credits roll over. The per-project rate is not public.
AutoRFP.ai pricing is public: Scale is $899 per month, Accelerate is $1,299 per month, and Enterprise is custom, paid yearly with unlimited users. A bid lead can map the annual queue to a plan before procurement begins.
When questionnaire work is occasional and has no owner, Inventive is a fit. When a bid, proposal, or SE team owns the queue, AutoRFP.ai is the platform they run.