TechnologyComplex automationSeveral jobs working together: multi-stage pipelines with state, branching on rules or AI decisions, approvals or escalations, 4+ systems, AI agents that act, or reconciliation across sources. Usually rolled out in stages.

App marketplace listings reviewed and live in days, not weeks

For: SaaS platform running a third-party app marketplace

Typical impact

Listing live in 4 days

Marketplace applications now run through automated company verification, security checks and asset validation, while OpenAI pre-reviews listing copy against the guidelines. Clean submissions publish automatically; problem ones go back with specific fixes. Median time to live: four days.

Typical results

1.3

Review rounds, down from 3.2

-75%

Reviewer time per listing

2.7x

More apps live per quarter

Figures reflect typical results for this kind of automation.

The challenge

Every vendor application waited on one platform team: verify the company, walk the security checklist, check icon sizes, read the copy. Listings took over three weeks to go live and averaged 3.2 review rounds — usually for problems a vendor could have fixed in minutes, had anyone told them which.

Before and after

Before With the automation

Application to live listing

−83%
24 days
4 days

Review rounds per listing

−59%
3.2 rounds
1.3 rounds

New apps published per quarter

2.7×
11 apps
30 apps

The automation

We rebuilt intake as a Make pipeline that runs the mechanical checks in parallel — company verification, security questionnaire scoring, asset validation down to image dimensions. OpenAI pre-reviews listing copy against the marketplace guidelines and writes vendors specific, actionable fixes instead of a generic rejection. Reviewers receive a scored packet for final judgment, and anything approved publishes to the marketplace automatically, with the vendor notified at every step.

How it works

  1. 01

    Vendor applies

    The application form kicks off company verification automatically.

  2. 02

    Checks run in parallel

    Security questionnaire scoring, asset validation and required documents clear without waiting on a human.

  3. 03

    AI reads the listing

    OpenAI reviews the copy against marketplace guidelines and drafts specific fixes for anything off.

  4. 04

    Humans judge the edge cases

    Reviewers receive a scored packet instead of a raw pile of submissions.

  5. 05

    Approved means live

    Passing apps publish to the marketplace automatically, with the vendor notified at every step.

Starts from

  • Vendor application
  • Listing copy & assets

Delivers

  • Auto-published listing
  • Specific fix requests
  • Scored reviewer queue

The impact

Median time from application to live listing dropped from 24 days to four, and review rounds fell from 3.2 to 1.3 per app. Reviewer time per listing is down 75%, and the marketplace now ships 30 new apps a quarter instead of 11.

Questions about this automation

Which checks run before a human reviewer sees an application?

Company verification, scoring of the security questionnaire, a required-documents check and asset validation all run in parallel as soon as the form is submitted. Asset checks cover icon and screenshot dimensions, file types and required links. Each result feeds a score, so reviewers open a packet that already shows what passed and what failed.

How does the AI review listing copy?

OpenAI compares the description, feature claims and screenshot captions against the marketplace guidelines and writes specific fixes, such as a missing privacy link or an unsupported claim. The vendor receives those fixes directly and can resubmit right away. The AI only flags and suggests, and final approval stays with the review team.

What happens when an application fails a security check?

A failed or incomplete security answer stops automatic publishing. The vendor gets a message naming the exact question and the evidence needed, and the application moves to the reviewer queue with the risk flagged. Once the vendor responds, the checks rerun automatically. It is a multi-step build, usually rolled out in stages, starting with the mechanical checks.

Technology

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