Inventive AI
AI agents that draft RFP, RFI, security questionnaire, and DDQ answers from your company's own knowledge base
- Category
- Business & Sales
- Pricing
- No public pricing is published. The /pricing page returns a 404, and every solution page routes visitors to 'Book a Demo' instead of a price list. In practice this means quote-based, sales-assisted pricing, likely scaled by seats and RFP/questionnaire volume, but there is no self-serve number to point to.
- Best for
- Proposal, sales enablement, and revenue operations teams at mid-market to enterprise SaaS or services companies who repeatedly answer buyer-side RFPs, RFIs, security questionnaires, or DDQs and already store reference content in tools like SharePoint, Google Drive, Notion, or Confluence.
- Official site
- www.inventive.ai
- Last updated
- August 2026
Inventive AI sits at a very specific point in the enterprise sales process: the moment a buyer sends over a procurement document and someone on the vendor's side has to answer forty to four hundred questions accurately, on deadline, without contradicting what the last three proposals said. That's a narrower job than 'AI for sales,' and the product is built accordingly, it's less a chatbot bolted onto a CRM and more a set of agents that read your existing knowledge base, extract questions from whatever format a buyer sent (Excel, Word, PDF), draft answers, and then flag the answers it isn't confident about rather than silently guessing. The content-governance piece, agents that scan the knowledge hub for stale or conflicting answers before a draft goes out, is the part that actually differentiates this from a plain retrieval-augmented chatbot; most competitors in this space treat the knowledge base as a static thing you feed once, Inventive treats it as something that needs continuous upkeep, which matches how proposal content actually rots in practice.
It's worth being precise about what kind of tool this is, because two other products on ToolScout get lumped into the same 'AI for sales' bucket and shouldn't be. Downtobid automates bidding too, but for construction, it's built around subcontractor and general-contractor workflows, plan takeoffs, and bid invitations, a domain with its own document formats and compliance quirks that have nothing to do with SaaS procurement. Inventive AI, by contrast, is aimed at software and services companies answering enterprise buyers' RFPs and security reviews, a completely different document universe (SOC 2 attestations and MSA language instead of blueprints and unit pricing). Meanwhile Apollo.io and Inventive AI aren't really competitors at all, they sit at opposite ends of the sales funnel. Apollo is about finding and reaching prospects who haven't said yes to anything yet, outbound, list-building, sequencing. Inventive only activates after a prospect has already engaged enough to send you their procurement paperwork, it's a response tool, not a prospecting one. A team could reasonably run both without redundancy.
The honest gap in evaluating Inventive AI from the outside is pricing. There's no /pricing page (it 404s), no tier names, no seat-based ballpark, nothing. Every page funnels toward booking a demo. That's normal for enterprise B2B software sold through a sales cycle, but it does mean a proposal manager can't do a quick cost-benefit napkin calculation without first giving up an hour to a sales call, and it makes it harder to comparison-shop against adjacent tools that do publish starting prices. The performance numbers on the site (95% response accuracy, 90% faster turnaround, 50%+ higher win rates) are also entirely vendor-sourced case-study figures rather than third-party benchmarks, worth treating as directional rather than guaranteed.
Who should skip it: teams that respond to a handful of RFPs a year don't need an ongoing knowledge-governance system, the setup and maintenance overhead of syncing a knowledge hub and training content managers on the tool will likely exceed the time saved at low volume, a shared doc template and a careful proposal writer probably beats it. Startups that need transparent, self-serve pricing to make a fast decision will also hit friction here, since there's no way to see cost before committing time to a sales conversation. It's best suited to organizations already drowning in five-plus substantial RFPs or security questionnaires a month, where the content-governance and multi-integration setup pays for itself.
Proposal, sales enablement, and revenue operations teams at mid-market to enterprise SaaS or services companies who repeatedly answer buyer-side RFPs, RFIs, security questionnaires, or DDQs and already store reference content in tools like SharePoint, Google Drive, Notion, or Confluence.
Key features
AI response drafting
Pulls from a company's connected knowledge sources to auto-generate first-draft answers to RFP, RFI, security questionnaire, and DDQ questions, flagging spots where source content is missing rather than fabricating an answer.
Unified knowledge hub
A central library that syncs live with SharePoint, Google Drive, Notion, and Confluence, plus manual document uploads and curated question-and-answer pairs, meant to replace scattered folders of old proposals as the source of truth.
AI content governance
A background agent continuously checks the knowledge hub for outdated, duplicated, or contradictory entries and surfaces them before they can get pulled into a new draft, addressing the common failure mode where old, wrong answers keep resurfacing.
Question extraction
Parses incoming questionnaires and RFPs delivered as Excel, Word, or PDF files and breaks them into individual questions the AI can address one at a time, removing the manual copy-paste step teams usually do first.
Agentic research and refinement
Beyond simple retrieval, agents can research competitors and iteratively improve draft answers for positioning and strategic framing, not just factual correctness.
Project collaboration layer
Lets teams assign sections of a response to specific people, track completion status in real time, and leave comments, functioning as lightweight built-in project management for the proposal process.
Business tool integrations
Connects to Salesforce, Slack, and Jira so proposal work and status updates can stay visible inside the tools sales and revenue teams already work from daily.
Security and access controls
SOC 2 Type II compliance, GDPR/CCPA readiness, SSO, role-based permissions, and audit logging, relevant given the platform itself often handles sensitive compliance and security documentation.
Pricing breakdown
Custom/Enterprise
- No published tiers or self-serve pricing as of this review
- Pricing determined via a demo/sales conversation, likely scoped to seats and response volume
- Trial or demo access available by request
Pros and cons
Pros
- Because it syncs live to SharePoint, Google Drive, Notion, and Confluence, teams don't have to migrate or re-upload their existing proposal content just to get started, which lowers the initial setup barrier compared to tools that require a full content re-import.
- The content-governance agent that flags stale or conflicting answers addresses a real, chronic problem in proposal work, outdated boilerplate quietly getting reused, rather than only speeding up the drafting step.
- Bundling RFPs, RFIs, security questionnaires, and DDQs into one workflow means a team doesn't need separate tools (and separate knowledge bases) for sales proposals versus security/compliance reviews.
- Built-in assignment, tracking, and commenting reduces the usual reliance on shared spreadsheets or email chains to coordinate who's answering what section of a long questionnaire.
Cons
- The complete absence of a public pricing page, confirmed directly since /pricing returns a 404, means any cost evaluation has to start with a sales call, which slows down due diligence for teams used to self-serve SaaS pricing.
- All the headline metrics (95% accuracy, 90% faster response, 50%+ higher win rate, $105K savings) come from the vendor's own case studies rather than independently verified benchmarks, so they should be treated as best-case anecdotes, not guaranteed outcomes for every buyer.
- Third-party review coverage is currently thin (G2 shows only a couple of listed reviews at time of writing), so there isn't much independent signal yet to corroborate the marketing claims.
- For organizations that only respond to a small number of RFPs annually, the overhead of connecting and governing a knowledge hub likely outweighs the time saved versus just writing responses manually or from a template.
Alternatives to Inventive AI
Frequently asked questions
What does Inventive AI actually automate?
It automates drafting answers to RFPs, RFIs, security questionnaires, and DDQs by pulling relevant content from a company's connected knowledge sources (SharePoint, Google Drive, Notion, Confluence) and generating first-draft responses for a human to review and finalize.
Does Inventive AI have public pricing?
No. As of this review, the site's /pricing page returns a 404 and every product page directs visitors to book a demo instead of showing tiers or numbers, so pricing is quote-based and only available after talking to sales.
Which knowledge sources can Inventive AI connect to?
SharePoint, Google Drive, Notion, and Confluence via live sync, plus manual document uploads and direct question-and-answer pair entry.
Is Inventive AI only for RFPs, or does it also handle security questionnaires?
It covers the broader family of buyer procurement documents, including RFPs, RFIs, security questionnaires, and DDQs, using the same underlying knowledge hub and drafting engine, with framework-specific handling for things like SOC 2, ISO 27001, and GDPR-related questions.
How is Inventive AI different from Downtobid?
Downtobid is built for construction bidding, subcontractor and general-contractor workflows around plan takeoffs and bid invitations. Inventive AI is aimed at SaaS and services companies responding to enterprise buyer procurement processes like RFPs and security reviews, an entirely different document domain.
How is Inventive AI different from Apollo.io?
They address different stages of the sales funnel. Apollo.io is an outbound prospecting tool for finding and reaching leads who haven't engaged yet. Inventive AI only comes into play after a prospect has sent over procurement paperwork, it responds to inbound buyer requirements rather than generating new leads.
Is Inventive AI a good fit for a small team with few RFPs?
Probably not. Teams handling only a handful of RFPs per year likely won't recoup the setup and knowledge-governance overhead; it's better suited to organizations fielding a steady, higher volume of RFPs or security questionnaires each month.
Ready to try Inventive AI?
Head to the official site to explore pricing and start a free trial where available.
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