SQ IntelSecurity Questionnaire Intelligence
Decision support profile
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Vendor profileReviewed May 2026

Is Conveyor right for your security review workload?

Conveyor helps B2B teams answer security questionnaires, run a trust center, respond to RFPs, and reuse approved security answers across sales work.

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Fit Diagnostic

Move the targets to match your buying situation. The highlighted band shows where this vendor is designed to perform best.

Match score100%

Conveyor fits this buyer profile well. Use the demo to prove evidence handling, approval routing, integrations, and stale-answer controls.

Primary strength

Strong AI-first positioning for customer trust workflows

Conveyor is one of the strongest products in this market for companies that need more than a shared answer library. It is built for teams that get frequent security reviews, lose time in spreadsheets and customer portals, and need sales and security to work from the same approved answers. Conveyor's strength is the way it connects AI drafting, source material, portal handling, SME review, trust center workflows, and RFP response. It is a serious fit for scaling B2B software companies where security reviews slow down deals.

Primary tradeoff

Public pricing detail is limited

Buyers should verify ownership, review routing, evidence freshness, implementation effort, and how generated answers are approved before they reach customers.

Not ideal for

Very small teams with only occasional short questionnaires

Limitations are part of the decision. A product earns trust faster when buyers can see where it is not the right first purchase.

AI answer accuracy95%+

Accuracy benchmark for AI-generated questionnaire answers. Validate the same workflow with your own questionnaire set.

Hallucination rate0.1%

Reported hallucination benchmark for security questionnaires seeded with a strong knowledge library.

Named integrations12+

CRM, collaboration, ticketing, document, knowledge-source, API, and browser-extension surfaces.

Product Overview

What it does

Conveyor solves a simple but painful problem: buyers ask the same security questions in many different formats. One buyer sends an Excel file. Another uses a portal. Another asks for SOC 2 documents. Another drops security questions into an RFP. If those requests are handled in separate places, teams waste time copying answers, chasing SMEs, and checking whether old answers are still current.

Conveyor gives teams one place to manage the knowledge behind those answers. That knowledge can include documents, curated Q&A, past answers, and external sources. Conveyor then uses that material to draft questionnaire and RFP answers. This is the right model for this category because answer quality depends on the source material. A general AI answer is not enough. The tool needs to find the correct company-specific answer and make it easy for a human to review.

The questionnaire workflow covers the formats that usually create the most drag: Excel, Word, PDF, and customer portals. The browser extension matters because many enterprise buyers still force vendors to work inside third-party portals. A tool that only handles uploaded files leaves a major part of the job untouched.

Conveyor also includes trust center and RFP workflows. That is useful because these are not separate problems. A buyer's questionnaire, trust center visit, document request, sales email, and RFP section often ask for the same security facts. Conveyor is strongest when a company wants one maintained knowledge base feeding all of those channels.

The tradeoff is scope. A very small team with one short questionnaire per quarter may not need this much product. Conveyor makes the most sense once security review work becomes a recurring sales bottleneck.

Plain-English take

Conveyor is for teams where security review is now a revenue workflow.

If questionnaires are frequent, multi-stakeholder, and customer-visible, workflow depth becomes more important than a simple answer library.

Product Screenshots

Interface
Conveyor security questionnaire automation product UI screenshot
Security questionnaire automation interface

Official Conveyor product image used on the security questionnaire automation page.

Conveyor trust center product screenshot
Trust center product view

Official Conveyor product image from the Trust Center page.

Conveyor Trust Center Agent product screenshot
Trust Center Agent product view

Official Conveyor Trust Center image showing agent-related product UI.

Conveyor browser extension and portal automation product image
Browser extension and portal workflow

Official Conveyor product image related to questionnaire portal and browser extension workflows.

Primary Use Cases

Where it fits
Use caseWhat buyers get
Security questionnaire automation

The main use case is handling recurring buyer questionnaires without rebuilding every answer from scratch. Teams can import a questionnaire, draft answers from approved company knowledge, review them, and return the completed response in the buyer's required format.

Portal-based questionnaire response

Portal work is where many teams lose hours to copying, pasting, and reformatting answers. Conveyor is especially relevant when enterprise buyers require responses inside third-party portals instead of accepting a completed file.

Customer trust center operations

A trust center gives buyers controlled access to security documents and common answers before every request turns into a manual questionnaire. This is useful when the same SOC 2, privacy, policy, and control questions come up repeatedly.

RFP and RFX security response

RFPs often ask for the same security, privacy, compliance, and product details that already live in questionnaire answers. Conveyor can reuse that knowledge so proposal teams are not maintaining a separate response library.

Sales enablement for security questions

Sales and solutions teams need fast answers, but they should not invent security language or maintain side documents. Conveyor gives them a route to approved answers without sending every repeat question back to security.

Who It Is For

Persona fit
PersonaFit
Security and GRC leaders

Best suited to leaders who own answer accuracy, security documentation, and SME review. The practical win is fewer repeat interruptions from sales and more control over what gets sent to buyers.

Revenue operations and sales leadership

A good fit when security reviews delay late-stage deals and leadership wants the process to become predictable instead of dependent on ad hoc follow-up.

Sales engineers and solutions consultants

Helpful for technical sales teams that need accurate answers quickly but should not maintain their own unofficial answer library.

Customer trust teams

The cleanest fit is a dedicated customer trust function that owns trust center content, document access, questionnaires, review routing, and buyer-facing security information.

Proposal and RFP teams

Useful when RFP responses need to reuse the same approved security and compliance knowledge as questionnaires, instead of living in a separate proposal-only system.

Day-to-Day Users

Daily operators
RoleDaily activityLevel / team
GRC program manager

Owns the questionnaire process, maintains source material, reviews AI-generated answers, and decides which questions need security-team review.

director manager / GRC / Customer trust
Security analyst

Reviews detailed security answers, validates control language, updates reusable answers, and handles exceptions that cannot be safely answered from existing knowledge.

practitioner / Security / Compliance
Security assurance manager

Manages trust center content, tracks recurring buyer questions, coordinates SMEs, and keeps security documentation aligned across products or business units.

director manager / Security assurance
Solutions consultant

Uses approved answers during active deals, especially when buyers ask security questions in portals or need fast clarification before procurement can move forward.

sales solutions / Solutions / Pre-sales
Sales representative

Checks trust center activity, shares approved documents, and gets visibility into whether a buyer has accessed security materials.

sales solutions / Sales
Customer trust lead

Runs the overall customer trust program, connects questionnaire automation to the trust center, and reports where security review work affects revenue.

director manager / Customer trust

How Conveyor Works

Process
01

Build the knowledge foundation

Conveyor starts with the content that determines answer quality: policy documents, SOC 2 and security documentation, curated Q&A, past questionnaire responses, product material, and external sources. This step is the difference between useful automation and generic draft text. Teams should treat the knowledge library as an operating asset with owners, review cycles, and source hygiene.

02

Import or capture the buyer request

The platform supports multiple buyer request formats, including uploaded questionnaires and portal workflows. This is essential because the market does not standardize security review intake. A usable automation tool must meet the buyer's format instead of forcing every deal team to normalize requests by hand.

03

Generate the first answer pass

ConveyorAI generates answers from the configured knowledge context. The first-pass answer is valuable because it reduces blank-page work and pulls the review process toward exception handling. The team should focus on validating the answer and resolving edge cases, not retyping standard policy language.

04

Review, edit, collaborate, and escalate

Questionnaire automation still needs review control. Conveyor supports the work that happens after AI drafting: editing answers, collaborating with SMEs, and moving the questionnaire toward completion. This is where serious teams separate automation from uncontrolled AI use.

05

Export, submit, and reuse

Completed answers feed future work. Past answers become a knowledge input, and the trust center can deflect future requests. This reuse loop is why Conveyor is stronger as an operating platform than as a one-off answer generator.

Feature Analysis

What to verify
AI Answer Generation

Conveyor drafts answers from the company's own source material instead of starting from generic templates.

  • The useful part is not that it writes sentences. The useful part is that it writes from approved company material.
  • Past answers can help keep future answers consistent.
  • The value is clearest when a team answers enough questionnaires for reuse to matter.
Knowledge Library

The knowledge library is where Conveyor keeps the source material behind security answers.

  • Conveyor supports documents, curated Q&A, past answers, and external sources as knowledge inputs.
  • The goal is to avoid a giant answer library that nobody trusts after six months.
  • Larger companies should pay close attention to product lines, permissions, owners, and review dates.
Questionnaire Import and Export

Conveyor handles common questionnaire formats so teams spend less time cleaning up files.

  • The product supports spreadsheet, document, PDF, and portal-oriented workflows.
  • This matters because messy files, subquestions, comments, and required formats create a lot of manual work.
  • Export back into the buyer's expected format keeps the workflow usable for teams that cannot ask every customer to change how they run security review.
Portal and Browser Extension Automation

Conveyor is built for the reality that many buyers require answers inside third-party portals.

  • The browser extension supports importing questions, reviewing generated answers, and exporting responses inside supported portal workflows.
  • Portal work is one of the least scalable parts of questionnaire response.
  • This gives Conveyor better real-world coverage than tools that only work well with uploaded files.
Trust Center

Conveyor lets teams share security information through a controlled trust center before every request becomes a manual review.

  • A trust center can reduce repetitive document sharing by giving customers a controlled place to access security and compliance material.
  • The trust center is strategically important because not every security review needs to become a full manual questionnaire.
  • When paired with questionnaire automation, the trust center becomes part of the same deflection and response system rather than a separate static microsite.
RFP Response

Conveyor can also support RFP answers that reuse the same security knowledge as questionnaires.

  • The product can reuse company wikis, documents, external sources, Q&A, and prior answers for RFP response.
  • This matters for teams where the same security and compliance content shows up in RFPs, vendor assessments, procurement reviews, and customer trust requests.
  • The result is a more coherent response operation than running security questionnaires in one tool and RFPs in another.

Major Integrations

Connected systems
IntegrationWhy it mattersCategory
Salesforce

Connects security review work to the sales process, which matters when questionnaires affect active deals.

crm
Slack

Supports internal collaboration and notifications so sales, security, and SMEs can coordinate without relying only on email.

collaboration
Microsoft Teams

Useful for companies that coordinate review work in Teams rather than Slack.

collaboration
Confluence

Can act as a source for approved product, security, and internal knowledge used in answers.

knowledge base
Google Drive

Helps teams reuse security documents, evidence, and approved collateral that already live in Drive.

document storage
DocuSign

Relevant when document access, agreements, or trust center workflows need to connect to existing document processes.

document workflow
HubSpot

Relevant for teams that manage buyer requests or customer trust workflows around HubSpot records.

crm
APIs and webhooks

Useful for teams that need to connect trust center activity, analytics, or workflow events to internal systems.

api webhook

Forward-Looking Capabilities

Modern signals
CapabilityWhy educated buyers should careQuestion to ask
MCP server for Claude, Cursor, OpenAI, and other AI tools

MCP support lets approved users pull Conveyor knowledge, questionnaire workflows, trust center data, and analytics into the AI tools they already use. That matters because customer trust work is moving from static dashboards into agent-assisted workflows.

Ask which MCP tools are available today, what permissions they respect, whether SSO approval is available, and how activity is audited.
Multi-provider LLM architecture

Conveyor documents use of OpenAI, Anthropic, and Google for trust center search and questionnaire response workflows. Buyers should care because model choice, retention terms, and privacy controls are now part of security review automation due diligence.

Ask which model providers are used for each workflow, whether zero data retention applies, and how customer content is prevented from training third-party models.
Developer APIs for knowledge, questionnaires, one-off questions, analytics, and trust center workflows

A documented API surface gives technical teams a path to connect Conveyor data to internal reporting, trust operations, CRM workflows, and custom automation. This is more useful than a closed app when customer trust becomes part of the broader revenue system.

Ask for the API endpoints relevant to your workflow, rate limits, authentication model, webhook coverage, and whether API access is included in the package you are evaluating.
Trust Center Agent for verified visitor self-service

Conveyor's Trust Center Agent can help verified visitors search documents and answer questions inside the trust center. This changes the trust center from a document portal into an interactive buyer self-service layer.

Ask what the agent can answer, which documents it can access, how disclaimers work, and how the system prevents unsupported answers from reaching buyers.
Portal automation and browser extension workflow

Many enterprise buyers still require questionnaire responses inside third-party portals. Browser and portal automation are practical differentiators because they reduce copy-paste work that traditional answer libraries do not solve.

Ask which portals are fully automated, which require browser extension support, and how the workflow handles unsupported portal layouts.
Evidence-aware answer generation with source citation

Conveyor emphasizes answers grounded in customer-controlled knowledge sources and source citation. Buyers should care because the next generation of questionnaire automation is not just faster drafting; it is answer traceability, review control, and confidence in where each answer came from.

Ask the vendor to show source citations, answer confidence, stale-source handling, conflicting-source handling, and review routing on your own questionnaire.

Company Information

Snapshot and leadership
Company context

Conveyor is a privately held SaaS company based in San Francisco, founded in 2021 and led by founder and CEO Chas Ballew. The company focuses on AI-assisted customer security review work. Employee count and funding stage can change quickly, so treat those fields as point-in-time company context.

Founded2021
HeadquartersSan Francisco, CA
Employees11-50 employees
Company typePrivately held
Funding stageSeries B
Legal nameConveyor Inc.
Chas Ballew

Founder and CEO - Chas Ballew is Conveyor's founder and CEO.

Chas Ballew

Founder and CEO - Previously started and served as CEO of Aptible.

Chris Gomes

Product - Product leadership.

Christine Vidal

Marketing - Marketing leadership.

Dave Bennion

Sales - Sales leadership.

Etienne Luneau

Business Operations - Business operations leadership.

Nadim Islam

Engineering - Engineering leadership.

Customer Proof and Case Studies

Published evidence
CompanyPublished result / usage signalProof type
Zapier

Published Conveyor case study says Zapier cut security questionnaire time by 75%, increased questionnaire capacity 3x, and reduced security-team involvement to 20% of security questions.

case study ->
Sprout Social

Published Conveyor case study says Sprout Social automates 98% of security questionnaires, saves 200+ hours annually, and reached an 87% perfect AI answer rate on first pass.

case study ->
Nucleus Security

Published Conveyor case study says Nucleus Security cut questionnaire time by 90%, reduced security review turnaround by 60%, and connected sales, security, and customer success around one answer source.

case study ->
Temporal

Published Conveyor case study says Temporal reclaimed 240 hours per month, saved $100K+ annually, and completed some questionnaire turnarounds in about seven hours.

case study ->
Nutrient

Published Conveyor case study says Nutrient reclaimed 200+ hours, reduced questionnaires by 56% through its trust center, and improved first-pass AI-correct answers by 3-4x.

case study ->
Carta

Published Conveyor case study says Carta cut security review time by 83%, reduced customer security questionnaires by 40%, and reported 95% AI accuracy on customer security questionnaires.

case study ->
Sumo Logic

Published Conveyor case study says Sumo Logic automated 100% of customer security requests through Conveyor Trust Center and delivered security information 82% faster during the sales cycle.

case study ->
Alteryx

Published Conveyor case study says Alteryx enabled $500M+ in security-influenced revenue, increased customer reach 40% with the same four-person team, and resolved 46% of inquiries through its trust center.

case study ->

Implementation, Security, and Buying Notes

What to ask
TopicPlain-English takeBuyer action
Implementation

Implementation should start with knowledge quality. Load the right documents. Bring in useful past questionnaires. Decide who owns each answer area. Set rules for which answers sales can use on their own and which answers need security, legal, or privacy review. Conveyor can move quickly when the company already has good security documentation. It takes more cleanup when answers are scattered across spreadsheets, Slack threads, and individual SME memory.

Ask to see setup steps.
Security review

Conveyor will hold sensitive security answers, documents, and buyer questions. Treat it as a security system, not just a productivity tool. Buyers should review SSO, roles, MFA, audit logs, document access, AI data handling, subprocessors, retention, and contract terms. Also test whether generated answers stay tied to approved source material.

Ask about controls and audit history.
Pricing

Conveyor does not provide enough public pricing detail for an accurate buyer-side price estimate in this profile. Buyers should treat pricing as a sales-led evaluation item and ask Conveyor for packaging by module, seat model, questionnaire volume, trust center requirements, portal automation needs, RFP usage, implementation support, and integration scope. The product should be evaluated on workflow coverage and time savings, not just seat count.

Confirm package limits.
Integrations

Conveyor has useful integration coverage for this workflow. It connects to collaboration tools, sales systems, knowledge sources, document workflows, APIs, and webhooks. The important point is simple: questionnaire work touches sales, security, legal, product, and customer-facing teams. A tool that does not connect to those places becomes another inbox to check.

Validate included integrations.
Competitive position

Conveyor competes best against tools that are mainly static answer libraries. Its pitch is broader: use one knowledge base for questionnaires, portals, trust center content, sales questions, and RFPs. That is the right fit for teams that want one customer trust workflow. It is too much product for buyers that only need a lightweight repository for a few short questionnaires.

Compare fit, not only features.
Buyer guidance

Shortlist Conveyor when security reviews slow deals, portal questionnaires waste time, sales keeps asking security the same questions, or your trust center needs to do more than host documents. In a demo, use your own questionnaire, your own source documents, one portal example, one SME escalation, and one export back to the original format. Do not judge the product on a polished sample demo. Judge it on your real questions, your real evidence, and your review rules.

Run the demo test.

Buyer Intelligence

Evaluation guidance
Buyer Workflow Fit

Buyer Workflow Fit

Conveyor fits best when security review work is not a single task, but a repeatable workflow across sales, security, legal, customer trust, and proposal teams.

Inbound questionnaire chaos

Strong fit when questionnaires arrive in spreadsheets, documents, PDFs, portals, and one-off emails.

This is where Conveyor's file handling, portal workflows, and knowledge reuse matter most.
Trust-center-led deflection

Strong fit when the company wants buyers to self-serve common security documents before escalating to a manual questionnaire.

The trust center is part of the response system, not a separate brochure page.
Sales-led security review

Strong fit when revenue teams need status visibility, approved answers, and less waiting on security.

This is especially relevant when late-stage deals slow down on security review.
RFP-heavy teams

Good fit when security and compliance answers repeat across RFPs and questionnaires.

The same knowledge base can support both workflows.
Day In The Life

Day-in-the-Life Analysis

The product touches several roles, but each role uses it differently. That matters because adoption depends on more than the admin experience.

GRC manager

Maintains approved answers, reviews generated responses, assigns owners, and tracks outstanding questionnaire work.

This is the main operating role.
Security analyst

Reviews technical edge cases, validates control language, and updates reusable answers when policies or products change.

This role keeps automation from drifting into unsafe answers.
Sales engineer

Uses approved answers during live deal work and routes exceptions back to security.

The value is speed without creating a shadow answer library.
Sales rep

Shares trust center access, checks whether buyers viewed materials, and avoids unnecessary security escalations.

This role needs visibility more than editing power.
Implementation Reality

Implementation Reality

Conveyor works best when the company treats implementation as a knowledge cleanup and ownership project, not just a software rollout.

Source cleanup

Teams need current SOC 2 documents, policies, product security notes, privacy answers, and past questionnaires.

Bad source material creates bad automation.
Answer ownership

Every answer area needs an owner: security, privacy, legal, product, support, or finance.

Ownership prevents stale answer libraries.
Escalation rules

Teams should define which answers sales can send directly and which answers require review.

This is where governance becomes practical.
CRM and collaboration setup

Salesforce, Slack, Teams, docs, and notification workflows should be planned early.

Otherwise the tool becomes another place people forget to check.
Demo Tests

What To Test In The Demo

The best demo is not a polished vendor sample. It is your real questionnaire, your real sources, and your real review rules.

Messy spreadsheet

Upload the hardest questionnaire you have: merged cells, comments, subquestions, and awkward formatting.

This tests real import and export quality.
Portal workflow

Ask the vendor to show a portal example, including what is fully automated and what requires browser extension support.

Portal work is one of the biggest practical differentiators.
Source change

Change one source document and ask how the system updates answers that depend on it.

This reveals whether answers are actually source-aware.
SME review

Route a sensitive answer to the right reviewer and check the audit trail.

Automation without review control is not enough for enterprise use.
Procurement Questions

Procurement Questions

Procurement should focus on packaging, data handling, AI controls, integration scope, and workflow limits.

AI data handling

Which LLM providers process customer content, and what retention commitments apply?

This belongs in legal and security review, not just the product demo.
Portal automation

Which portals are fully automated, which are browser-assisted, and which are unsupported?

Scope matters more than a generic portal claim.
Integrations

Are Salesforce, Slack, Teams, Confluence, Drive, APIs, and webhooks included in the package?

Integration packaging can affect total cost and rollout.
Product segmentation

Can answers differ by product line, region, compliance scope, or customer segment?

This is critical for larger companies.
Public Evidence Quality

Public Evidence Quality

Conveyor has stronger public evidence than many vendors in this category: product pages, docs, case studies, screenshots, and company profile sources.

Documentation

Public docs cover questionnaire automation, integrations, knowledge library, LLM usage, APIs, portal workflows, and trust center agent behavior.

This makes technical due diligence easier.
Case studies

Conveyor publishes multiple named customer stories with roles and reported outcomes.

Useful proof, but outcome metrics remain vendor/customer reported.
Screenshots

Official product images are available across product and newsroom pages.

This helps buyers inspect product direction before a demo.
Pricing

Pricing is not publicly detailed enough for a reliable estimate.

This remains a transparency gap.
Claims To Verify

Claims To Verify

These are not red flags by themselves. They are the claims buyers should confirm before signing.

AI accuracy

Validate AI accuracy against your own questionnaires and sources, not generic benchmark claims.

Accuracy varies with source quality.
Case-study outcomes

Treat published time savings and revenue impact as reported results.

Ask for references if those outcomes are central to the business case.
Integration scope

Confirm which integrations are included and what each integration can actually do.

A logo is not the same as workflow depth.
Data retention

Confirm current AI data handling commitments in the contract and security documentation.

Public docs are useful, but contract terms govern.
Modern Buyer Layer

Modern Buyer Layer

Conveyor is unusually relevant for buyers who care about the next generation of trust automation: MCP, LLM architecture, APIs, agents, browser workflows, and source-grounded answers.

MCP server

Conveyor has announced MCP support for tools such as Claude, Cursor, and OpenAI workflows.

This is a forward-looking differentiator for agent-assisted teams.
LLM transparency

Public docs describe use of OpenAI, Anthropic, and Google in trust center and questionnaire workflows.

Buyers should verify provider usage and retention by workflow.
API surface

Public docs list APIs for analytics, knowledge base, questionnaires, trust center, and one-off questions.

This matters for technical teams that want custom automation.
Source-grounded AI

Conveyor emphasizes answers generated from customer-controlled knowledge sources.

This is more important than generic AI writing quality.
Replacement Context

Competitive Replacement Context

Conveyor usually replaces a messy mix of spreadsheets, stale answer libraries, trust center tools, RFP workflows, and Slack escalations.

Spreadsheets

Replaces manual answer reuse and spreadsheet tracking for recurring questionnaires.

Best when volume has outgrown ad hoc coordination.
Generic RFP tools

Can replace a separate proposal response workflow for security-heavy RFP sections.

Only if proposal teams accept the customer trust knowledge model.
Trust-center-only tools

Can replace a static trust center when buyers still need active questionnaire response.

The value is combining self-service and response completion.
Slack escalation

Reduces repeated sales-to-security questions by giving teams approved answer paths.

It does not eliminate SME review for edge cases.
Hidden Work

Hidden Costs and Hidden Work

The hidden work is mostly governance, not software setup.

Answer hygiene

Old answers need cleanup before they should be reused at scale.

Automation amplifies whatever is in the library.
SME ownership

Teams need clear owners for security, privacy, legal, infrastructure, product, and support answers.

Ownership is what keeps the system trustworthy.
Product-line complexity

Larger companies may need answer segmentation by product, customer type, or compliance scope.

This should be tested before rollout.
Ongoing review

Policies, subprocessors, infrastructure, and AI commitments change over time.

A review calendar matters.
Market Position Map

Market Position Map

Conveyor sits toward the AI-first, customer-trust-platform side of the market rather than the static answer-library side.

AI-first vs answer-library-first

Conveyor leans AI-first, but still depends on maintained source knowledge.

The strongest products combine both.
Trust center vs questionnaire response

Conveyor covers both trust center self-service and active questionnaire response.

This is a stronger fit for teams that want one customer trust system.
Security-led vs sales-led

The system serves security ownership and sales visibility at the same time.

That dual fit is useful in revenue-sensitive security review.
Developer surface

APIs, webhooks, and MCP support push Conveyor toward a more extensible product category.

This matters more to sophisticated buyers than to low-volume teams.
Buyer Maturity Fit

Buyer Maturity Fit

The right buyer is mature enough to have source material but overloaded enough to need automation.

Low maturity

No approved answers, scattered policies, unclear owners, and few recurring questionnaires.

Start with documentation cleanup before buying a deep platform.
Medium maturity

Has SOC 2, policies, past questionnaires, and recurring sales requests, but answers are scattered.

This is a good entry point for Conveyor.
High maturity

Has a customer trust function, trust center, source owners, and high-volume buyer security review.

This is where workflow automation and analytics matter most.
Enterprise maturity

Needs product-line segmentation, permissions, review controls, portal handling, and API integrations.

Test governance depth before purchase.
Thirty Minute Evaluation

If You Only Have 30 Minutes

A short evaluation should focus on the highest-risk workflows, not a full product tour.

Bring one real questionnaire

Use the messiest file or portal request you have.

A clean sample hides the hard parts.
Bring three source documents

Use a SOC 2 report, a security policy, and a past answer set.

This tests source grounding.
Ask one hard edge case

Use a question that normally requires a security or privacy SME.

This tests review routing and answer quality.
Check one contract issue

Ask about LLM providers, retention, and subprocessors.

Do not leave AI data handling for the end.
Change Trigger Fit

Change Trigger Fit

Conveyor becomes more compelling when security review work is visibly affecting revenue or team capacity.

Questionnaire volume is rising

The team is receiving more buyer reviews than it can handle manually.

Volume creates the automation business case.
Deals are delayed

Security review is slowing late-stage enterprise opportunities.

This turns questionnaire work into a revenue operations problem.
Sales engineers are doing GRC work

Technical sales staff are maintaining unofficial answers or chasing security repeatedly.

This creates accuracy and governance risk.
Portals are multiplying

More buyers require portal-based submissions instead of accepting completed files.

Portal automation becomes a practical requirement.
Category Evolution

Category Evolution Take

The category is moving away from static answer libraries and toward source-grounded, AI-assisted, workflow-aware customer trust systems.

Static libraries are aging

Answer libraries still matter, but stale answers are dangerous when policies, products, and subprocessors change.

Governed source material is the new foundation.
Portal workflows matter more

Enterprise buyers continue to push vendors into third-party portals.

Tools that ignore portals miss a painful part of the job.
Trust centers and questionnaires are merging

The same security knowledge now feeds self-service trust centers, questionnaires, RFPs, and sales answers.

Point solutions will feel more limited over time.
AI needs evidence

The winning AI systems will not just draft faster; they will show where answers came from and how they were reviewed.

Traceability is what makes AI usable in security review.

Sources Reviewed

FAQ

What does Conveyor do?

Conveyor automates customer trust workflows, including security questionnaires, trust centers, RFP response, one-off security questions, document access, and sales-facing answer reuse.

Is Conveyor only a security questionnaire tool?

No. Security questionnaire automation is a core use case, but Conveyor is broader than a questionnaire answer tool. It also supports trust centers, RFP response, knowledge management, portal workflows, and sales enablement for customer security questions.

Who should buy Conveyor?

Conveyor is strongest for B2B companies where security reviews affect sales velocity and the team needs a governed, AI-assisted workflow for answering buyer questions across questionnaires, portals, RFPs, and trust center interactions.

Does Conveyor publish pricing?

Conveyor does not provide enough public pricing detail for a precise independent estimate in this profile. Buyers should request current packaging and confirm which modules and integrations are included.

What should buyers test in a Conveyor demo?

Buyers should test Conveyor with their own questionnaire, their own source documents, a portal workflow, an SME escalation, and an export back to the buyer's required format. That is the fastest way to validate real workflow fit.

Shortlist Conveyor