Fictional sample report

Sample AI SaaS launch audit report.

See what a 24h launch verdict looks like before you book. This realistic fictional report shows P0/P1/P2 findings, evidence, business risk, and recommended fix order for an AI-built SaaS.

What this sample launch audit report shows

This page is an example of the report format used for an AI SaaS launch audit. It is written for founders who built with tools like Lovable, Bolt, Cursor, Supabase, Stripe, n8n, and paid AI APIs, and now need to know whether the app is safe enough to launch.

The sample focuses on common launch blockers in AI-built SaaS apps: missing Supabase RLS, Stripe webhook drift, exposed API keys, unbounded AI usage, silent automation failures, and production errors that reveal internal details.

Use this page to understand
  • What a BLOCK SHIP verdict looks like.
  • How P0, P1, and P2 findings are separated.
  • How evidence is tied to business risk.
  • How fixes are ordered for launch readiness.
Important note

The app name, users, and findings below are fictional. They are designed to show report structure and depth, not to describe a real client or real company.

Sample app ClearDesk AI

AI support inbox built with Lovable, Supabase, Stripe, OpenAI API, Resend, and n8n.

Reviewed access Read-only

Deployed app URL, two test accounts, Supabase screenshots, Stripe test-mode events, and repo access.

Top risk User data exposure

Tenant isolation is incomplete. A logged-in user can query another workspace's tickets.

Executive summary

ClearDesk AI is close to launch, but three issues block public release: incomplete Supabase RLS, Stripe subscription drift, and no cost control on the AI reply endpoint. These are fixable before launch. The app should stay private until P0 items are patched and re-tested.

2 P0 block ship 3 P1 fix before scale 1 P2 can wait

Findings

P0 - Block ship

Workspace tickets can be read across tenants

Evidence

Logged in as founder-b@cleardesk.test, a direct Supabase request returned ticket rows owned by Workspace A. The UI hides them, but the API still returns the data.

Business risk

Customer support messages can leak between companies. This is the highest trust risk before public launch.

Fix

Enable RLS on tickets, ticket_messages, and attachments. Add workspace membership policies and verify with two test users.

Screenshot placeholder: Supabase query result showing cross-workspace ticket rows
P0 - Block ship

Failed Stripe payments do not revoke paid access

Evidence

The webhook returns 200 OK for invoice.payment_failed, but the local subscription row remains active.

Business risk

Users can keep paid access after failed renewal. Support and revenue data will drift from Stripe.

Fix

Handle failed payment, cancellation, refund, and duplicate webhook events. Store Stripe event IDs to make updates idempotent.

Screenshot placeholder: Stripe test event delivered, app subscription state unchanged
P1 - Fix before scale

AI reply endpoint has no rate limit or per-user cap

Evidence

The endpoint accepts repeated requests from the same session and calls OpenAI every time. No daily quota or abuse logging is visible.

Business risk

A bot loop or impatient user can burn API credits quickly, especially during launch traffic.

Fix

Add per-user and per-IP limits, workspace quotas, usage logging, and provider-side budget alerts.

P1 - Fix before scale

Resend API key appears in client bundle source map

Evidence

A source map references RESEND_API_KEY in frontend code. The visible value is redacted in this sample, but the pattern indicates a secret may have shipped.

Business risk

If exposed, attackers can send email through your account and damage deliverability.

Fix

Rotate the key, move email sending server-side, disable production source maps, and scan Git history.

P1 - Fix before scale

n8n onboarding workflow fails silently

Evidence

The app marks onboarding as complete before the n8n webhook confirms CRM sync and welcome email delivery.

Business risk

Founders may think new customers are onboarded while welcome emails, CRM records, or follow-up tasks are missing.

Fix

Wait for webhook confirmation, add retry handling, and surface failed automations in an admin view or alert.

P2 - Can wait

Production error messages reveal internal table names

Evidence

Invalid ticket IDs can return errors mentioning ticket_messages and the failed query path.

Business risk

This is not the main launch blocker, but it gives attackers unnecessary detail.

Fix

Return generic user-facing errors and send detailed exceptions to server logs or error tracking.

Recommended fix order

  1. Lock tenant data access: RLS policies, storage policies, two-account verification.
  2. Fix Stripe webhook state: failed payments, cancellations, duplicate events, refunds.
  3. Add AI endpoint rate limits, workspace quotas, usage logs, and budget alerts.
  4. Rotate any exposed keys and move email/API calls server-side.
  5. Add n8n retry/alerting for onboarding failures.
  6. Clean up production error messages before broader launch.

Sample report FAQ

Is this sample report based on a real client?

No. It uses invented app details so you can see the report format without exposing private client data.

What does the real audit report include?

You receive a launch verdict, P0/P1/P2 findings, evidence, business risk, recommended fixes, and the order I would fix things before launch.

Do you need production access?

No for the initial verdict. Read-only context is enough: app URL, test accounts, screenshots, logs, dashboard exports, or read-only repo access.

What tools do you usually check?

Common checks include Lovable, Bolt, Cursor, Replit, v0, Supabase, Firebase, Stripe, Clerk, n8n, Make, Zapier, Resend, OpenAI, and Anthropic.

Want this verdict for your app?

Send the app URL and access context. The first audit is read-only, and fixes are optional after the verdict.

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