5 Best Conveyor Alternatives in 2026: Insider Look & Review

The real question is not whether Conveyor can automate questionnaires. It can. The question is whether its workflow matches everything your team needs to respond to. If commercial RFPs, DDQs, complex document formats, project controls, or governed company knowledge are equally important, another platform may be a better fit. Below, we compare five Conveyor alternatives across AI response quality, workflow breadth, security assurance, collaboration, knowledge management, and cost.

5 Best Conveyor Alternatives in 2026: : At a Glance

1. AutoRFP.ai: Best for Governed RFP and Security Questionnaire Response Automation

AutoRFP.ai is the accuracy-first AI platform for RFPs, security questionnaires, and DDQs: every answer is source-grounded and citable, with zero library maintenance.

For teams considering Conveyor, the main difference is scope. Conveyor is particularly strong for security reviews, Trust Center workflows, and customer-facing security-document sharing.

AutoRFP.ai is better suited to organizations that want security questionnaires handled alongside commercial RFPs and DDQs in one governed response platform, with source-grounded answers and explicit human review when evidence is insufficient.

Key Features

1. Source-Grounded Responses With Trust Scores

AutoRFP.ai is built for Zero hallucination by design, generating responses only from approved company knowledge. Its multi-model pipeline handles retrieval, re-ranking, drafting, redrafting, and checking before presenting an answer for review.

Every generated response includes its supporting sources and a Trust Score, giving reviewers a way to assess the evidence behind an answer. If approved information cannot sufficiently support a response, AutoRFP.ai leaves it unresolved for human input rather than filling the gap with an unsupported answer.

Video transcript

AutoRFP.ai is like having a team member that never sleeps. We've responded to more than double the number of RFPs after implementing AutoRFP.ai than we did the year before. I'll look back on 2025, we'd saved something like 949 hours. It was mind-blowing. Oh my gosh, this can be done automatically. Being able to answer those consistently and accurately puts us in a position to be a trusted vendor for our clients.

Using AutoRFP.ai has definitely helped me increase my closing ratio. Before, we were using Google Drive to store all of our library content and previous responses. It was a very manual process. If the keyword was there, you would find it. If not, then you wouldn't. I would say 60% of the deals that come through in my market are RFP bids.

But as the team was scaling, it quickly became apparent that this wasn't sustainable. I, of course, looked at tools that we had available to us in-house. Became clear that it worked in some ways, but it wasn't built to respond to complex RFPs with multiple questions and moving parts. So what was different about AutoRFP.ai is that we're able to upload multiple documents in all different formats, PDF, Word, Excel, and it will ingest all of those documents and pull out the requirements, even tables within documents instantly.

The Excel sheets just blew our mind because we hadn't seen this anywhere else. As we work in multiple regions, the ability of AutoRFP.ai to translate into multiple languages is really impressive, and it really felt like it was going to be a partnership rather than a transaction. We spend a lot more time now focusing on the strategy for a bid.

The bids are a lot more tailored and a lot more focused on the prospect in a way that we couldn't do before. The quality of our output is just completely different. Do you feel like it's gonna blow their mind because they're like, "Oh, you've said exactly what we needed to hear." Thinking back to that particular deal in Q3, the deadline was coming up.

Having missed the deadline would have meant for me not hitting my quarter, but I also didn't wanna let down my team. Having a bank of information of answers that I could trust really allowed me to just push everything out as quickly as possible, knowing that what I was saying was accurate and true.

Trusting that when that is submitted, more than 50% of the job is done, and I'm really excited to say that, yes, we did win the deal, made me look like a hero, so thank you. We've been able to respond to 20 to 30% more RFPs quarter on quarter. We've been able to increase the capacity of the team. We've saved 45% of the time it would've taken us to respond to the same number of RFPs.

Our shortlist rate has been outstanding, and it just gets better and better I would say don't wait until volumes spike and quality starts to drop. Every bid that your team submits manually is costing you more than you think, not just in hours, but in quality and consistency There's absolutely no way we would want to go back to the previous way AutoRFP.ai is like having a team member that never sleeps, keeps getting smarter, and allows my team to focus on the stuff that they're really good at

2. Security Questionnaire and Portal Automation

AutoRFP.ai handles security questionnaires alongside RFPs and DDQs, allowing sales, security, legal, and compliance teams to work from the same approved knowledge.

Portal Agent also supports questionnaires completed inside external procurement and security portals.

Teams can bring portal questions into the response workflow, review generated answers, and return approved content without relying entirely on manual copy and paste.

3. Current-Source Governance With Zero Library Maintenance

AutoRFP.ai searches approved content across SharePoint, Confluence, Google Drive, OneDrive, Notion, Box, Seismic, and other connected systems using semantic search.

Approved responses become available for future projects, reducing repetitive snippet, folder, tag, and taxonomy maintenance while source ownership and review controls remain in place. This reduces the repetitive work of maintaining snippets, folders, tags, and taxonomies without removing human content review.

4. Complex Document Import and Original-Format Export

AutoRFP.ai can process Word, PDF, and Excel questionnaires, including nested tables, hidden tabs, macros, dropdown validations, and other complex structures.

After review, approved responses can be returned to the buyer’s original format. This helps response teams avoid completing the AI work only to spend additional hours rebuilding the final submission manually.

5. Cross-Functional Collaboration and Approvals

Proposal managers can coordinate sales engineers, security specialists, legal reviewers, product teams, and other SMEs inside the same response workspace. Assignments, requirement-level comments, sequential reviews, version history, and audit trails keep decisions attached to the relevant answer.

Dashboards show progress, blocked questions, deadlines, and open comments, while Slack, Microsoft Teams, and email notifications help bring occasional reviewers into the workflow without relying on separate tracking spreadsheets.

6. Enterprise Security and Data Controls

AutoRFP.ai is ISO 27001 certified and SOC 2 Type II audited. Customer data is not used to train AI models, and organizations can choose regional data residency in the US, EU, or AU.

The platform also supports enterprise identity and access controls through Okta, Microsoft Entra, Google Workspace, SAML, and SCIM, along with private or single-tenant deployment options for organizations with stricter security requirements.

Pricing

Where AutoRFP.ai Shines

• Broader response consolidation: RFPs, security questionnaires, and DDQs can run through one governed platform instead of separate point solutions.

• Defensible customer answers: Reviewers can inspect the approved evidence behind important security, technical, and commercial claims.

• Clear uncertainty handling: Missing evidence is surfaced for human review rather than hidden behind plausible AI-generated language.

• Lower content-administration burden: Approved work improves future responses without requiring continuous traditional library maintenance.

• Large-team participation: Unlimited users make it easier to involve security, legal, product, and technical reviewers without creating a seat-management problem.

• High-stakes response fit: Source traceability, sequential approvals, audit trails, regional hosting, and enterprise security controls suit organizations where customer answers require formal scrutiny.

Where AutoRFP.ai Falls Short

• Buyer-side procurement: AutoRFP.ai is designed for companies responding to RFPs and questionnaires, not procurement teams issuing and evaluating supplier RFPs.

• Narrative-heavy proposal writing: Teams primarily producing highly creative, long-form tenders may prefer a specialist proposal-authoring platform.

Customer Review

Viktor R., Sales Engineer, said: “Cooperation between different geos is much easier than with the previous tool, where each geo would’ve needed own content manager and own Questions and answer pairs. Stakeholders can jump in and help more easily. Ease of use also with other than english language projects overall means that more of colleagues from different countries can use tool more easily.”

Ben D., Product Delivery Lead, said: “This really is a brilliant time-saving tool. It’s very clever, and the range of answer types, criteria and scenarios it handles is impressive, as well as highly configurable, by RFP. The initial setup was very easy, and using the platform is straight-forward. The more you use it, the better it gets, as the AI learns from prior responses, and you can choose which past RFP’s it bases its knowledge on. Assigning answers for review by colleagues is a great feature too. The support is responsive, and personal as well - only user error on my part so far!”

Trevor Carlsson, Director, Solution Consulting at SugarAI, said: “AutoRFP.ai has genuinely been a game changer for our team across APAC. It has significantly reduced the time required to respond to RFPs while still maintaining a high standard of quality and accuracy.”

Bryn Tardent-Powell, Head of Sales & Marketing at Cubiko, said: “Being in healthtech, we get a lot of security questionnaires. AutoRFP helped me save time so I could provide better quality results.”

Who AutoRFP.ai Is Best For

• Teams replacing multiple response tools: Organizations that want RFPs, security questionnaires, and DDQs managed together.

• Security-heavy enterprise sellers: Companies where customer security reviews regularly accompany commercial RFPs.

• Cross-functional response teams: Organizations involving sales, solutions engineering, InfoSec, legal, compliance, and product in the same submission.

• Governance-conscious buyers: Teams that need visible sources, named approvals, version history, and audit evidence around customer-facing answers.

• Teams moving beyond traditional libraries: Organizations that want governed company knowledge without continuous manual content-library upkeep.

Video transcript

Did you know the average RFP can take thirty-two hours of manual grueling work? Now, in this video, in under ten minutes, I'm gonna show you how you can use AI RFP automation to drastically reduce the amount of time it takes to get to a first draft for your RFP, DDQ or security questionnaire using AutoRFP.ai. Sick. Let's jump into it. So at AutoRFP, we're an AI RFP software automation platform, across the globe with hundreds of customers using our software every day, battle-tested AI to help you automate RFPs. First, what's the problem? So an RFP or request for proposal or due diligence questionnaire or security questionnaire is a pain felt across all industries, whether it's construction, software, technology, finance, healthcare, anyone selling

to government or private businesses. And these glorified question and answers take hours and hours for people to complete, for them to win new business. It's a crucial part for your business to win enterprise and government contracts, which really help you grow sustainably and quickly. But when you go to bid on one, you are met with the RFP. Average response times are thirty to forty hours, usually involve five to eight people, seventy percent of content is reused but hard to find, and the average win rate across all industries is only forty-three percent. So you're spending hours with uncertainty that you may win, which is where efficiency and writing better responses, leveraging AI helps you win more faster. Now, looking into RFP automation, you have a number of options.

You can pick up a legacy RFP software. They've been around since the late nineties. They brought software to the RFP problem. Effectively, a glorified question and answer bank, like a database. You upload Q&A pairs, and then they try to use keyword matching to find the most relevant to then help you answer questions that you get in your new RFPs and tenders. You can also do AI builds yourself. So you might use ChatGPT or Claude, and you can see our other videos about how you can potentially use them. But effectively, you hit a ceiling where it's hallucinating, it's taking more time now to fix things than it should, and just doesn't have enough context to find the right answer most of the time. Or you can choose an actual AI native leader like AutoRFP.ai. Built from AI from the get go and have built the engine around zero

hallucination, multimodal architecture to leverage the latest models across all your major providers, library-less approach, so it doesn't take a lot of time to maintain the system, really high automation rates and enterprise security built in from day dot. So why do teams choose AutoRFP.ai? The reason is your knowledge is always current. We integrate with over twenty different systems, and we pull in from all your various file management and different software to make sure that your data is always up to date, and you don't have to maintain it across multiple different places. We're most accurate in the category because we leverage the different models, including specialized re-ranker models, embedding models, search models, and your large language models where they're best. And our team of over fifteen software engineers and AI engineers make sure that this is battle-tested, evals are correct, and it produces the correct answer based off your source context. And it's one platform for every stage of the RFP journey, from intake to new RFP

to AI-powered go/no-go to drafting to reviewing and using agents to review and update your RFP response, translation to collaboration across SMEs and different team members, ensuring that they can easily collaborate in an easy-to-use platform, and then exporting as well. Let's start with the AI native auto library. This is the core of the platform where your different content sources and past projects and up- and web scraping all live in the one place and- Any question that comes up, whether it's in an RFP or a team member asking the question, can be automatically answered with trust-based scores, specific semantic search, and ensures that the correct answer is found and used to then answer and generate an appropriate response. Then effectively, you upload a blank RFP.

The AI-powered response engine then automatically generates responses, translates it and everything to have the correct answers. Then your team can very easily edit, review, integrates with Slack and Teams, and everyone's notified on project deadlines. Now, I've spoken enough. Let's jump into the actual product, and you can see AI RFP automation from the start. We start by creating a project, which is a new RFP. We've got our portal agent that can scrape your requirements from web portals like SAP, Ariba and others, automatically ingesting those answers into your AutoRFP.ai instance, and then automatically drafting responses for you to easily enter back into the portal. Or you can upload a zip that contains a PDF, Excel, Word doc of your RFP and import that into the platform.

First we have our AI go, no-go. This ask different questions of your RFP based on your company context to ensure that should we actually bid on this RFP before we start it. It'll automatically grab out key details and link it to our CRM via our integration with Salesforce and so on. And here it's answered each question, and you can see it has confidence levels, it has trust built in, and you can then look back and see where the original source and what, for instance, table or other information. Our AI importer automatically selects every requirement, child requirements, dropdown pick lists response cells, everything else that's required for that RFP. We can manually change it if needed, but it automatically pulls that in. Then we can choose what content from our library or just choose every content, and our intelligent tagging and hierarchy system will make sure that the most relevant content is used for that response. And then I can create my project.

Next, the AI response engine then automatically starts sourcing the correct content from your auto library, re-ranking and finding the most relevant information, using that to then draft, redraft, and edit responses vi- with AI, and then provide those responses back to you in matter of seconds. And you can see here my thirty or so requirements automatically being filled out across the entire project. It's chosen the relevant pick lists, and each one of these have trust scores that I can understand further where this came from. It also has our AI-powered feedback score, and this is where AutoRFP is different to other systems. We don't wanna just help you source the correct answers. We wanna help you write better responses. And this goes into our feedback loop, where as you use the platform and write better responses, the AutoRFP system learns from those responses, and continually, your responses get better to help you win more faster.

Here we can do inline comments, so I can notify my team and so they can jump in, get notifications. I can submit, approve, add attachments, and everything else I can do in this platform. Finally, we have our project overview, which is our project management HQ for this particular RFP, making sure everyone understands deadlines. You can send reminders out to team members and just know when something needs to be completed by and when completed by and who is completing it, making sure that your RFP response is submitted on time and you're not faced with five PM Friday deadlines, calling someone to make sure you can get the correct answer to the correct question that's our short introduction to AutoRFP.ai. There's a lot more in RFP automation and AI RFP software that you can learn but feel free to reach out to our team. We'd love to provide a detailed demonstration to you so you can understand if this is a good fit for your business Already, AutoRFP.ai is in forty-four-plus countries across the globe with hundreds

of customers across different industries like technology, finance, and healthcare, and our customers are winning more faster. One of our customers like Shana Sweeney from SugarCRM won fifteen of their top twenty-five enterprise customers using AutoRFP.ai. They're using AI RFP automation to win more today, and it's a competitive advantage for their businesses. Our pricing is incredibly transparent. You can find more information on our website, to get in touch with our team, head over to our website, AutoRFP.ai. Book in a demo today and learn more and see if we can help you win more faster.

2. Drata: Best for Security Assurance and GRC Integration

Drata is a broader trust-management and GRC platform that now includes security questionnaire automation, AI Questionnaire Assistance, and Trust Center capabilities.

Following its acquisition of SafeBase, Drata unified the SafeBase company brand under Drata in 2026. For teams comparing it with Conveyor, the main difference is breadth: Conveyor is heavily focused on customer security reviews, while Drata connects those assurance workflows with a wider compliance and GRC platform.

Key Features

• AI Questionnaire Assistance: Generates responses from approved Trust Center content, Knowledge Base entries, policies, and other controlled sources.

• Trust Center: Gives prospects and customers a secure, self-service location for security documents, certifications, policies, and approved answers.

• Human review workflows: Routes questions to security, legal, sales, and other subject matter experts for approval, editing, or rejection.

• Knowledge Base: Stores approved questionnaire responses for reuse in future security reviews.

• Multi-format questionnaire support: Supports questionnaire uploads, browser-based workflows, and additional formats depending on the selected plan.

• Trust analytics: Tracks questionnaire activity, Trust Center engagement, AI performance, and the connection between assurance work and commercial opportunities.

Pricing

Drata publishes its plan structure but uses personalized pricing rather than fixed public dollar amounts. Its Assurance Platform is available in three tiers.

Where Drata Shines

• Security and compliance consolidation: Strong fit for organizations that want customer assurance connected directly to their broader GRC and compliance program.

• Proactive buyer assurance: The Trust Center can answer common security questions before they become full questionnaires.

• Evidence continuity: Security teams can reuse information already maintained for compliance and assurance rather than creating a completely separate response process.

• Commercial visibility: Enterprise analytics can connect questionnaire and Trust Center activity with pipeline and revenue data.

• Existing Drata customers: Organizations already using Drata for compliance can extend into security assurance without bringing in a separate questionnaire vendor.

Where Drata Falls Short

• General RFP management: Drata is primarily designed around security assurance and GRC, not broad commercial RFP and proposal management.

• Platform breadth: Teams that only want questionnaire automation may not need the wider compliance and trust-management ecosystem.

• Pricing transparency: Exact dollar pricing requires a personalized quote.

• Plan complexity: Questionnaire, Trust Center, integration, and API capabilities vary across tiers, so buyers should check exactly what their proposed package includes.

• Broader proposal content: Narrative sales, implementation, product, and competitive proposal sections are outside Drata’s core specialization.

Customer Review

Stephanie L., Compliance Specialist, said, “Drata made security training and work laptop compliance incredibly easy through its simple and intuitive platform. It provides clear steps to help employees understand and complete required security tasks.”

Abigail A., Chief of Staff, said, “Drata has made managing compliance programs such as ISO 27001 and SOC 2 significantly easier while keeping teams aligned on completed and outstanding tasks. However, the user experience could improve, as navigation can sometimes require too many clicks.”

Who Drata Is Best For

• Security and GRC teams: Organizations where customer assurance and compliance are closely connected.

• Trust Center buyers: Companies that want buyers to self-serve approved security information.

• Existing Drata customers: Teams looking to extend a current compliance program into customer assurance.

• Security-heavy enterprise sales teams: Organizations where security reviews frequently affect deal progression.

3. Responsive: Best for Large-Scale Enterprise Response Operations

Responsive is an enterprise response-management platform covering RFPs, RFIs, DDQs, security questionnaires, and other complex information requests.

Compared with Conveyor, Responsive is designed for a much broader response operation. It combines AI-assisted answers with project management, content governance, analytics, Trust Center capabilities, and enterprise workflow controls, making it particularly relevant to larger organizations with dedicated proposal teams.

Key Features

• Response Projects: Manages RFPs, RFIs, DDQs, security questionnaires, assignments, deadlines, and reviews in one workspace.

• TRACE Score: Evaluates AI-generated responses across trustworthiness, relevance, accuracy, completeness, and explainability on a 0–100 scale.

• Content Library: Centralizes approved organizational knowledge for reuse across response projects.

• Requirements Analysis: Helps teams analyze incoming requirements before and during the response process.

• Trust Center: Publishes approved security and compliance information through controlled self-service profiles.

• Portal automation: Responsive introduced portal automation in beta in 2026 to help teams populate external portals using trusted response content.

Pricing

Responsive does not publish fixed dollar amounts. Pricing includes an annual platform fee, user licenses, and any selected add-ons or professional services.

Where Responsive Shines

• High-volume response programs: Strong choice for proposal organizations managing many concurrent projects and contributors.

• Mixed RFx workloads: Useful when the same team handles commercial RFPs, DDQs, security questionnaires, and other formal requests.

• Operational visibility: Reporting and business-intelligence capabilities give response leaders deeper insight into workload and project performance.

• Complex organizational structures: Enterprise controls suit companies coordinating across regions, business units, legal, InfoSec, and compliance teams.

• Established response operations: Professional services and broad administration capabilities can support organizations with mature proposal functions.

Where Responsive Falls Short

• Implementation effort: The platform’s breadth can require more configuration and enablement than a focused security-questionnaire tool.

• Content upkeep: Responsive AI works from approved knowledge, but the centralized Content Library still requires governance and ongoing maintenance.

• Named-user licensing: Organizations involving many occasional legal, security, or executive reviewers should examine the effect of user licensing on cost.

• Security-only workflows: Teams that primarily need customer assurance rather than broader response management may find Conveyor or Drata more focused.

• Pricing visibility: Buyers need a sales process to determine the complete cost of platform access, users, add-ons, and services.

Customer Review

A Solution Design Manager wrote on Gartner, “Responsive’s AI Add-in is very powerful. The ability to search the response library and combine multiple data points to formulate answers has significantly reduced manual work. The platform also makes collaboration easier by allowing multiple users to work together on projects.”

A Bid Manager wrote, “Responsive could improve its recommended answer search capabilities, proposal builder availability, and auto-response functionality. Some features are only available as paid add-ons, and pricing can vary significantly between organizations.”

Who Responsive Is Best For

• Large proposal teams: Organizations managing substantial response volume.

• Enterprise response operations: Companies coordinating contributors across departments or regions.

• Mixed-workload teams: Organizations handling RFPs, DDQs, and security questionnaires together.

• Reporting-focused leaders: Teams that need detailed operational visibility alongside response automation.

4. Loopio: Best for Mature Content-Library Workflows

Loopio is an established response-management platform centered on a structured library of approved content.

It supports RFPs, security questionnaires, DDQs, and other recurring response work. Its current Automated Answers workflow can search the Library, previous projects, documents, and connected sources to generate responses, while confidence indicators and citations help teams determine which answers deserve additional review.

Key Features

• Automated Answers: Generates first-pass responses from approved Library content, previous projects, documents, and selected connected sources.

• Content Library: Organizes reusable answers using structured categories, tags, ownership, and review cycles.

• Confidence Pulse: Indicates the confidence level of automated responses so reviewers can prioritize where closer validation is needed.

• Recommended Experts: Suggests subject matter experts based on previous proposal contributions and routes content for review.

• Project intake and scanning: Imports portal, Word, Excel, and PDF requests and maps questions into the response workflow.

• Connected sources and MCP: Loopio’s 2026 platform supports connected knowledge sources and MCP-based access to its response ecosystem.

Pricing

Loopio publishes a starting price for its entry package, while higher tiers require custom quotes.

Where Loopio Shines

• Established content operations: Particularly effective for teams that already have people and processes responsible for governing reusable response content.

• Reviewer prioritization: Confidence indicators help SMEs focus on responses that need closer inspection rather than treating every generated answer equally.

• Repeatable response work: Teams answering similar questions across multiple RFPs and questionnaires can benefit from a mature reuse model.

• Cross-functional adoption: Its established workflow makes it relatively straightforward to assign work to SMEs and monitor progress.

• Broad enterprise use: Loopio can support proposal, security, sales, and due diligence teams without being limited to customer security reviews.

Where Loopio Falls Short

• Library maintenance: The effectiveness of the platform still depends heavily on keeping the underlying Library accurate and well organized.

• Initial content setup: Building a mature Library can take meaningful upfront effort before teams receive its full benefit.

• Dedicated ownership: Large deployments typically work best when someone is responsible for content governance.

• Trust Center specialization: Security teams primarily looking for a customer-facing assurance experience may prefer Conveyor or Drata.

• Entry cost: Foundations starts at $20,000 annually, which may be difficult to justify for smaller or occasional response teams.

Customer Review

Cheryl P., RFP Manager, shared, “Loopio has been a great tool for managing RFP responses. Having everything in one place makes it easy to reuse and update answers, improve consistency, and build a growing knowledge library. It is simple for sales teams to use, helps reduce response time, and makes collaboration easier.”

Brian S., Director Marketing Brand Solutions, shared, “Loopio is a great organizational tool with an easy-to-navigate UI. Features such as the win/loss tracker for RFIs and Close the Loop functionality are helpful additions. However, navigating the admin section and library can be frustrating, as it often returns users to the first page after edits, and searches require clicking the filter or search button instead of simply pressing enter.”

Who Loopio Is Best For

• Dedicated proposal teams: Organizations with established RFP and questionnaire processes.

• Content managers: Teams with clear ownership of reusable approved material.

• Enterprise response teams: Companies that need predictable collaboration and review workflows.

• Library-first buyers: Organizations comfortable making curated response content central to their operating model.

5. Arphie: Best for Source-Transparent RFP and Questionnaire Responses

Arphie is a modern response platform for RFPs, DDQs, and security questionnaires that emphasizes source transparency and connected company knowledge.

Its AI agents generate first drafts from approved information while showing the sources used and a confidence level for each answer. Arphie also connects directly with systems such as Google Drive, SharePoint, Confluence, Notion, Seismic, Highspot, and product documentation so teams can work from information maintained elsewhere in the business.

Key Features

• Source-backed response generation: Shows the information used to generate each answer alongside an AI confidence level.

• Live knowledge connections: Syncs with Google Drive, SharePoint, Confluence, Notion, Seismic, Highspot, Dropbox, and online documentation.

• Role-based collaboration: Supports owners, writers, reviewers, comments, assignments, deadlines, and response sign-off.

• AI writing customization: Lets teams set organization- or project-level guidance around tone, vocabulary, detail, and formatting.

• Import and export: Supports Excel and Word import with AI question detection and exports responses back into the original document.

• Arphie MCP: Makes projects, metrics, and Arphie’s knowledge agents accessible from tools such as Claude and development environments.

Pricing

There is no publicly available pricing tier for Arphie AI. Instead of offering fixed, self-service subscription plans, Arphie uses a quote-based, “contact us” pricing model. This means pricing is tailored to your team’s RFP volume, workflow complexity, and implementation requirements.

Arphie has an indicative pricing range for its services, even though full plans are not publicly listed.

Where Arphie Shines

• Reviewer transparency: Teams that are uncomfortable with black-box AI can inspect the evidence and confidence behind generated responses.

• Lean cross-functional teams: Unlimited seats reduce friction when security, legal, engineering, product, or other occasional SMEs need to participate.

• Distributed knowledge environments: Live integrations suit companies whose most current information lives across several business systems rather than one response library.

• Modern adoption experience: Arphie’s simpler interface and white-glove migration approach can appeal to teams moving away from more traditional RFP platforms.

• Audit-conscious response teams: Source visibility and auditing capabilities make it easier to understand how an answer was produced before approving it.

Where Arphie Falls Short

• Dedicated Trust Center: It does not provide the same customer-facing security-assurance experience as Conveyor or Drata.

• Shorter enterprise track record: Arphie is a newer platform than established vendors such as Responsive and Loopio.

• Reporting maturity: Some current G2 feedback notes that reporting capabilities are still developing.

• Import and export maturity: A G2 reviewer also noted that some file import and export capabilities were still pending or evolving.

• No public dollar pricing: Buyers need to contact Arphie to determine the actual cost for their expected concurrent workload.

Customer Review

A Director said, “Arphie has delivered significant time savings for RFPs, proposals, and questionnaires through its AI capabilities and content management approach. Its answer quality, source transparency, and confidence indicators help teams trust AI-generated responses, while its content syncing reduces the need to chase SMEs for updates.”

A Senior Associate said, “Arphie helps reduce the time spent managing content by integrating with internal drives and website documentation, allowing teams to focus on higher-priority revenue tasks. There have been no major issues, and minor interface bugs are usually resolved quickly by the team.”

Who Arphie Is Best For

• Modern response teams: Organizations prioritizing transparent AI-assisted first drafts.

• Lean cross-functional teams: Companies that need to involve many occasional SMEs without per-seat friction.

• Distributed-knowledge organizations: Teams whose current answers live across several document and knowledge systems.

• Mixed questionnaire teams: Organizations handling RFPs, DDQs, and security questionnaires rather than security reviews alone.

Reasons to Consider an Alternative to Conveyor

Conveyor is particularly strong for security questionnaires, Trust Center workflows, and customer assurance. But teams with broader response requirements may find that a different platform better matches how they manage RFPs, DDQs, knowledge, and cross-functional reviews.

1. You Need More Than Security Questionnaire Automation

Conveyor’s specialization is useful when security reviews are the main bottleneck. If your team also handles commercial RFPs, DDQs, implementation questionnaires, and other formal responses, managing those workloads separately can create additional tools and approval processes.

Platforms such as AutoRFP.ai, Loopio, and Responsive cover a wider range of response types within one environment, which can be more practical for teams trying to consolidate their response workflow.

2. You Want More Control Over How AI Answers Are Verified

For high-stakes responses, generating an answer is only part of the problem. Reviewers may also need to understand which approved source supports the response, whether that information is current, and what happens when sufficient evidence cannot be found.

AutoRFP.ai, for example, attaches sources and a Trust Score to generated answers and routes unsupported questions for human review. Teams should test each platform using difficult or intentionally unanswerable questions rather than judging accuracy only on straightforward security items.

3. You Need Deeper RFP Project Management

Security teams may be satisfied with a questionnaire-focused workflow, while dedicated proposal teams often need more extensive project controls across sections, contributors, deadlines, approvals, reporting, and multiple concurrent bids.

Responsive is particularly strong for large-scale response operations, while Loopio provides mature project and content-library workflows. These may be better fits when RFP management is just as important as questionnaire completion.

4. You Prefer a Different Knowledge-Management Model

The right platform also depends on how your organization wants to maintain reusable information. Some teams prefer a curated response library, while others want answers generated directly from synchronized company sources with less manual library administration.

Loopio is well suited to teams with dedicated content managers, while AutoRFP.ai uses connected knowledge and approved responses to reduce ongoing library maintenance. This distinction becomes increasingly important as product, security, and compliance information changes over time.

5. You Want to Qualify Opportunities Before the Response Work Starts

For teams handling full RFPs, automation can be valuable before the first answer is drafted. AutoRFP.ai includes Go/No-Go Analysis, which scans an RFP against predefined criteria and surfaces issues such as missing certifications, incompatible deployment requirements, or other deal-breakers before specialists spend hours on the response.

Conveyor’s current workflow is centered more heavily on automating security questionnaires, RFP responses, customer assurance, and the surrounding review process. If bid qualification and early requirement analysis are important to your proposal operation, AutoRFP.ai’s pre-response capabilities give you another reason to consider an alternative.

Manage RFPs, Security Questionnaires, and DDQs in One Governed Workflow with AutoRFP.ai

AutoRFP.ai helps teams manage security questionnaires alongside RFPs and DDQs in one governed response workflow. Answers are generated from approved company knowledge, backed by source citations and Trust Scores, and routed to human reviewers when the available evidence is not strong enough.

Portal Agent, complex file handling, approval workflows, audit trails, enterprise integrations, and zero library maintenance help security, legal, sales, and technical teams respond without rebuilding the same process for every customer review.

Book a demo to see AutoRFP.ai in action today.