--- title: "DDQ Software: 10 Leading Platforms by Workflow (2026)" url: "https://www.arphie.ai/glossary/ddq-tracking-software" collection: glossary lastUpdated: 2026-08-07T21:24:43.585Z --- # DDQ Software: 10 Leading Platforms by Workflow (2026) If you answer due diligence questionnaires (DDQs) alongside requests for proposals (RFPs) and security questionnaires, start with us at Arphie. Conveyor specializes in customer security trust, DiligenceVault, Ontra, and Dasseti serve investment workflows, and LogicManager serves the company issuing and scoring assessments. These products solve different jobs, so a flat ranking hides the decision you need to make. The comparison below groups 10 leading platforms by workflow, pricing, format support, and governance. ## DDQ Software Options at a Glance | Job You Own | Leading Options | Where to Start | | --- | --- | --- | | Answer enterprise DDQs, RFPs, and security questionnaires. | Arphie, Responsive, Inventive AI, Loopio, and AutoRFP.ai. | Start with us when you want source-backed answers from live company knowledge, confidence signals, accountable review, and original Excel or Word export. | | Combine security responses with a customer-facing trust center. | Conveyor. | Consider this specialized adjacent option when self-service security content is central to your workflow. | | Manage investment DDQs and investor data. | DiligenceVault, Ontra DDQ, and Dasseti ENGAGE. | Consider these adjacent tools when your workflow depends on fund, manager, allocator, or consultant-database data. | | Issue, score, and monitor third-party assessments. | LogicManager. | Consider this adjacent issuer-side tool when you own vendor risk rather than the response sent to a customer. | ## What DDQ Software Does DDQ software manages due diligence questionnaires from intake through completion. Response-side software extracts questions, retrieves approved company knowledge, drafts answers, coordinates review, and returns a completed file. Issuer-side software distributes questionnaires, evaluates responses, scores risk, and tracks remediation. At Arphie, we support the response-side job. Our [AI agents for DDQs](https://www.arphie.ai/platform) draft from a knowledge base and live company sources, show the evidence and confidence level behind an answer, and keep writers, reviewers, and approvers in one workflow. We also cover requests for information (RFIs) and security questionnaires. We do not issue assessments to vendors, score third-party risk, or operate a customer-facing trust center. Investment diligence adds its own data model. The Institutional Limited Partners Association (ILPA) publishes a [private equity DDQ](https://ilpa.org/resources-tools/resource-library/due-diligence-questionnaire/), while the Alternative Investment Management Association (AIMA) publishes [investment-manager DDQs](https://www.aima.org/sound-practices/due-diligence-questionnaires.html). If your answers must stay consistent across a firm, strategy, fund, vehicle, investor profile, and consultant database, a specialized investment platform may fit better than general response automation. ## Best DDQ Response Automation Software The five platforms in this group are direct alternatives for respondent-side work. They help you turn an incoming questionnaire into a reviewed submission, although their content models, governance, formats, and pricing units differ. ### Arphie: Best for Enterprise Response Workflows ![Arphie homepage showing its knowledge activation platform](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f360a48eadb60bcaf50a_79b0522f-3202-41b6-869f-5b9fb83e2d6b.png) We built Arphie for you when DDQs share knowledge and reviewers with RFPs, RFIs, and security questionnaires. Our AI agents use your knowledge base and [live connections](https://www.arphie.ai/platform) to Google Drive, SharePoint, Confluence, Notion, Seismic, Highspot, URLs, and other company sources. Each first draft includes its sources and confidence level, which lets your reviewers focus attention where judgment is needed. We import Excel and Word documents, detect questions and sections, support owner, writer, and reviewer roles, and [export in place](https://www.arphie.ai/features) to the original Excel or Word file. Our Quick-Ask feature makes the same approved knowledge available in Arphie or Slack. If you are moving from a legacy response tool, we can migrate your existing content library through white-glove onboarding. Our pricing is **Custom quote**. Choose us when your priority is high-quality, source-backed answers from current knowledge across several enterprise response types. A trust center, issuer-side risk scoring, and specialized investment-data distribution sit outside our scope. ### Responsive: Response Management With Trust Center Controls ![Responsive homepage for AI-powered response management](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f360a48eadb60bcaf501_e686c8a9-e87a-4b84-8825-3f5fb8be8e71.png) Responsive combines a content library, AI-assisted drafting, collaboration, integrations, and reporting for DDQs and other response projects. Its broader packages add governance for complex operations, while its [Trust Center](https://www.responsive.io/product-packages/platform) can publish pre-completed questionnaires and controlled documents for customers, partners, or regulators. Responsive also supports [separate business units](https://www.responsive.io/legal/package-overview) inside one instance. Choose Responsive if your response workflow needs business-unit separation or if you want response projects and a trust center from the same vendor. The commercial tradeoff is packaging: the Trust Center is an annual add-on, and capabilities vary by edition. [Responsive Lite starts](https://www.responsive.io/pricing) at $5,000 per year for five users; larger editions require a sales quote. ### Inventive AI: Automated Content Conflict Detection ![Inventive AI homepage for RFP and security questionnaire agents](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a627f72331efdaf25bedf08_3813fc5b-db6b-46ba-a60b-15f6e07d173d.png) Inventive AI generates DDQ drafts from connected knowledge and lets contributors refine the response. Its [AI content manager](https://www.inventive.ai/solution/due-diligence-questionnaires-automation) flags conflicting material across source content, which gives you an automated control for a common review problem. Choose Inventive AI if detecting conflicting or stale source material is a deciding requirement in your response workflow. Its [usage-based pricing](https://www.inventive.ai/inventive-ai-pricing) combines a fixed platform fee with charges for the RFPs and questionnaires you use, includes unlimited users, and starts at $10,000 per year. Your annual cost therefore depends on response volume rather than seats alone. ### Loopio: Structured Libraries and Global Administration ![Loopio homepage for AI RFP and DDQ software](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f360a48eadb60bcaf507_0b3fcf56-8545-404b-9b8a-f79d61741acf.png) Loopio centers response work on a structured Library, collaborative Projects, review cycles, and AI-assisted first passes. Its [project workflow](https://loopio.com/platform/effortless-projects/) covers DDQs, RFPs, security questionnaires, documents, spreadsheets, and web portals. Choose Loopio if you need [separate business units](https://support.loopio.com/hc/en-us/articles/41916387153939-What-Are-Business-Units) or project translation across more than a dozen languages. You will also need clear ownership for reviewing and maintaining the structured Library as products and policies change. [Loopio pricing](https://loopio.com/pricing/) starts at $20,000 per year for 10 seats, while Enhanced and Enterprise packages use custom quotes. ### AutoRFP.ai: Public Project-Based Pricing ![AutoRFP.ai homepage for AI response software](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f360a48eadb60bcaf50d_10eb8cc6-58b9-46b7-8a80-dff7de78caec.png) AutoRFP.ai imports Word, Excel, PDF, and portal requests, generates drafts from approved content, displays source visibility and a Trust Score, assigns editors and reviewers, and [exports to customer formats](https://autorfp.ai/features/export-submission). Those functions cover DDQs, RFPs, and security questionnaires in one respondent-side workflow. Choose AutoRFP.ai if a public project allowance is easier for you to budget than a seat-based plan. Its [Scale plan](https://autorfp.ai/pricing) costs $899 per month when paid annually and includes 24 projects per year; Accelerate costs $1,299 per month for 50 projects. A project can be an RFP, DDQ, tender, or security questionnaire, so variable volume can leave unused capacity or move you into a higher tier. ## Specialized Adjacent Option for Customer Security Trust ### Conveyor: Trust Center and Security Questionnaire Automation ![Conveyor homepage for its customer trust platform](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f361a48eadb60bcaf51b_42c8f565-02bd-42fb-8d59-1a7f8b6118f8.png) Conveyor combines a customer-facing trust center with security questionnaire automation. Its [questionnaire workflow](https://www.conveyor.com/products/security-questionnaire-automation) uses approved knowledge to create cited answers, score confidence, flag exceptions, route reviewers, and handle portal questionnaires. The trust-center layer lets customers self-serve approved security documents and answers before a questionnaire arrives. Choose Conveyor if you own customer security reviews and the trust center is as important as completing the questionnaires that remain. This is a specialized adjacent option for governance, risk, and compliance (GRC) work. We support security questionnaire responses but do not provide a customer-facing trust center. [Conveyor Business pricing](https://www.conveyor.com/pricing) starts at $9,600 per year and includes 20 questionnaire credits; its free trust-center plan excludes questionnaire automation. ## Adjacent DDQ Software for Investment Diligence These three products use investment-specific entities, templates, and distribution channels. They are adjacent to general response automation rather than direct substitutes when your main workload is customer security reviews or enterprise proposals. ### DiligenceVault: Asset-Manager and Allocator Workflows ![DiligenceVault homepage for asset manager and allocator diligence](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f360a48eadb60bcaf510_72da3149-8251-4e9d-8603-8bad29040059.png) DiligenceVault covers both sides of investment diligence. Pulse gives asset managers a content library, DDQ and RFP autofill, multi-user review, ILPA and AIMA templates, and database workflows. Spark lets allocators collect manager data, rate investments, monitor regulatory filings, and produce investment-committee reporting. Its [current packages](https://www.diligencevault.com/pricing/) scale by manager projects or managed entities and use monthly AI-credit allocations. Choose Pulse if you answer investor DDQs and maintain fund data across recurring channels. Choose Spark if you issue and evaluate manager diligence. Pricing is quote-based, with the configuration determined by the module, project or entity range, and AI credits you need. ### Ontra DDQ: Private-Markets Investor Requests ![Ontra homepage for its private markets AI platform](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f360a48eadb60bcaf504_99f35170-eb62-4619-929d-5c98520d3480.png) Ontra DDQ builds a centralized precedent library from completed questionnaires, policy documents, private placement memoranda, and industry templates. Its [private-markets workflow](https://www.ontra.ai/products/ddq-software/) applies approved precedents or drafts a new answer, then supports assignments, collaboration, approvals, and flexible exports. Ontra states that your investor relations, legal, or compliance staff review and approve every answer. Choose Ontra DDQ if you manage fundraising, operational, or environmental, social, and governance questionnaires for a private-markets fund manager. The specialization is less relevant if your workload centers on SaaS security reviews or general enterprise proposals. Ontra DDQ uses an [annual software license](https://www.ontra.ai/products/pricing/) with quote-based pricing. ### Dasseti ENGAGE: Consultant-Database Workflows ![Dasseti homepage for due diligence software](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f361a48eadb60bcaf518_5d2848f0-a080-4488-b2af-5b2c28e6c216.png) Dasseti ENGAGE centralizes firm, strategy, fund, and vehicle content for asset managers and general partners. Its [response platform](https://www.dasseti.com/platform-dasseti-engage) supports AI-assisted drafts, approvals, audit trails, Word, Excel, and investor portals. Choose Dasseti ENGAGE if you treat DDQ responses, investor data, and consultant-database maintenance as one process. Its [Nasdaq eVestment connection](https://www.dasseti.com/consultant-databases) reuses profile data across consultant databases, RFPs, and DDQs, a distribution workflow we do not provide. Dasseti does not publish a list price, so pricing is quote-based. ## Adjacent Issuer-Side DDQ and Risk Software ### LogicManager: Third-Party and Enterprise Risk Management ![LogicManager homepage for enterprise risk management software](https://cdn.prod.website-files.com/672fc2345132970736914b73/6a74f361a48eadb60bcaf514_cf3fcc7d-838f-4899-b116-c158d81bff12.png) LogicManager governs DDQs inside a wider third-party risk program. Its [vendor-management workflow](https://www.logicmanager.com/solutions/vendor-management/) covers vendor onboarding, due diligence, risk ratings, monitoring, incidents, and remediation across the third-party lifecycle. Choose LogicManager if you issue assessments, tier vendors, monitor findings, and connect due diligence to a broader enterprise risk program. It is an adjacent issuer-side platform and does not replace respondent-side drafting for your sales opportunities. [LogicManager pricing](https://www.logicmanager.com/pricing/) is quote-based, with a fixed fee organized around the job to be done rather than a public per-seat rate. ## How to Compare DDQ Response Software Feature lists flatten the differences that determine how much work remains. The stronger comparison is the evidence each platform produces in your workflow. | Decision Area | What Good Evidence Looks Like | Risk to Your Workflow | | --- | --- | --- | | Intake and export. | Questions and required fields are detected across your real multi-tab spreadsheets and documents, then returned in the required structure. | Missed conditional questions, flattened tabs, broken formulas, or manual reformatting. | | Answer grounding. | Every draft exposes a relevant source and handles missing or conflicting evidence clearly. | Fluent answers built from stale, irrelevant, or unsupported content. | | Knowledge freshness. | Your live sources, content owners, review dates, version history, and duplicates remain visible and controlled. | A second answer library becomes another stale repository. | | Human accountability. | Named writers, reviewers, approval gates, comments, and an audit history cover each material change. | An unapproved representation reaches a customer or investor. | | Workflow coverage. | Intake, drafting, escalation, approval, and delivery stay in one traceable flow. | Writing gets faster while email, ticketing, and file repair remain manual. | | Security and governance. | Model-training terms, retention, encryption, data isolation, access, single sign-on, audits, and hosting meet your requirements. | Security blocks rollout after you have selected the product. | | Commercial model. | Your annual cost includes the real seats, projects, credits, integrations, support, and implementation you need. | A low entry price rises when reviewers or required controls are added. | Standard questionnaires expose format weaknesses quickly. The Shared Assessments Program distributes the Standardized Information Gathering [SIG questionnaire](https://sharedassessments.org/sig-faq/) in Excel. The Cloud Security Alliance publishes the Consensus Assessments Initiative Questionnaire [CAIQ spreadsheet](https://cloudsecurityalliance.org/artifacts/cloud-controls-matrix-v4). Your platform needs to understand guidance columns, dropdowns, conditional questions, and multiple response fields, rather than merely accept an `.xlsx` file. The National Institute of Standards and Technology (NIST) AI Risk Management Framework calls for defined and documented [human oversight](https://airc.nist.gov/airmf-resources/airmf/5-sec-core/). In your DDQ workflow, AI can prepare and prioritize the work while a named person remains accountable for statements about security, compliance, operations, performance, or fees. ## What a Useful Proof of Concept Measures A useful proof of concept includes one completed questionnaire with known-good answers, one new questionnaire with a deliberate conflict between an old and current source, and the messiest workbook or portal in your normal workload. Seven measures show whether the software safely reduces your work: - **Question-detection rate.** The share of real questions and required answer fields imported correctly. - **Usable first-draft coverage.** The share of all questions that receive a relevant, supported draft. - **Accepted-answer yield.** The share of all questions you approve without a substantive edit. - **Escalation precision.** The share of low-confidence or conflicting answers routed to the right owner. - **Reviewer time per 100 questions.** Your total review minutes divided by question count, multiplied by 100. - **Evidence traceability.** The share of drafted claims whose exact supporting source opens from the answer. - **Export fidelity.** The share of workbook structure, validation rules, formulas, formatting, and response fields preserved on export. Accepted-answer yield is more useful than raw automation coverage. If the software drafts 170 answers in your 200-question DDQ and you approve 140 without substantive edits, coverage is 85%, while accepted-answer yield is 70%. The second number reflects work you actually avoided. ## When DDQ Software Is the Wrong Purchase Dedicated response software adds less value if you receive few questionnaires, can always submit the same standard form, and rarely change the underlying evidence. A maintained evidence packet, trust center, and approved standard response may cover your workflow. You also need a different category if you issue and score the assessments. When your job includes vendor tiering, residual-risk calculations, remediation, and continuous monitoring, third-party risk management or enterprise risk management software owns the core process. Response automation helps the vendor answering your assessment, but it does not replace your risk system. ## Choose Software for the DDQ Workflow You Own If you respond to enterprise DDQs alongside RFPs, RFIs, and security questionnaires, we give you one governed workflow built on live company knowledge, source-backed first drafts, confidence signals, and human approval. Specialized trust-center, investment, and issuer-side tools earn a place only when those adjacent jobs define your purchase. [Talk to our team](https://www.arphie.ai/contact) to see how we handle one of your real questionnaires. ## DDQ Software FAQ ### What Is DDQ Software? DDQ software is software for managing due diligence questionnaires (DDQs) from intake through completion. Response-side DDQ software drafts and reviews answers for the recipient, while issuer-side DDQ software distributes questionnaires, evaluates responses, and tracks risk. ### How Much Does DDQ Software Cost? Public starting prices among the respondent-side options here run from $5,000 per year for Responsive Lite to $20,000 per year for 10 Loopio seats, while project-based and credit-based products use different units. Our pricing is **Custom quote**, and several enterprise and investment platforms also provide quote-based pricing. ### Can DDQ Software Handle Security Questionnaires? Many response platforms handle DDQs, SIG questionnaires, CAIQ, and custom security assessments in the same workflow, although format, portal, evidence, and approval support varies. We use the same source-backed drafting and human-review workflow for DDQs and [security questionnaire automation](https://www.arphie.ai/blog/best-ai-tools-security-questionnaire-automation), with original-format export for Excel and Word. ### Is Arphie DDQ Software? Yes, we built Arphie to create source-backed first drafts for DDQs, RFPs, RFIs, and security questionnaires, then support review, sign-off, and original Excel or Word export. We serve you when you respond to diligence requests, while issuer-side assessment distribution and risk scoring sit outside our scope. ### Can AI Complete a DDQ Without Human Review? AI can extract questions, retrieve evidence, and draft much of a DDQ, but an accountable reviewer should approve every final representation. We expose sources and confidence levels and support writer, reviewer, and approval roles so your human sign-off remains part of the workflow.