Launch gate
One named journey
- 01 · Identity + data access
- 02 · Action + confirmation
01 · Critical journey
/Pressure-test the journey
One customer-facing AI path from login and data access through the most consequential action or answer.
AI-built SaaS app rescue
AI features can improve a product quickly, but weak permissions, retrieval, state, and release evidence make customer trust difficult to scale.
A useful AI feature with evidence behind the release decision · $1,000 to $1,500 · Human-led review · 48-hour turnaround
Representative AI app rescue brief
SaaS app rescue brief
Critical paths
03 exercised
Priority finding
A timeout can repeat a consequential action without a safe recovery boundary.
Direct answer
B2B SaaS · 48-hour Launch Readiness Review
An independent review of an AI-built B2B SaaS app should connect targeted code and configuration inspection with AI-specific failure paths: tenant isolation, secret handling, prompt injection, data leakage, tool permissions, and release configuration.
Launch gate
One named journey
01 · Critical journey
/One customer-facing AI path from login and data access through the most consequential action or answer.
Launch gate
Where risk concentrates
02 · System boundaries
/Deployment settings, webhooks, logs, and billing paths
Launch gate
What changes the call
03 · Evidence required
/Tool actions and fallback states are testable and reversible
Important boundary
The review covers the agreed release surface. It is not a penetration test, compliance certification, or full product security audit.
Read the full 48-hour Launch Readiness Review scopeQuestions
An independent review of an AI-built B2B SaaS app should connect targeted code and configuration inspection with AI-specific failure paths: tenant isolation, secret handling, prompt injection, data leakage, tool permissions, and release configuration. The output should tell the team what blocks launch and what can wait.
Yes. We begin with the stated workflow and the release risk it creates, then define the smallest useful review, reliability intervention, or integration boundary. Implementation is separately scoped when it sits outside the selected service.
Yes. It checks identity, authorization, tenant boundaries, RLS where relevant, secrets, sensitive data exposure, API abuse, and prompt or context manipulation when AI behavior is in scope. It is a bounded readiness review, not a penetration test.
Yes. A senior engineer traces the relevant code and configuration, then validates behavior against evidence, including hidden logic defects, unsafe migrations, weak permissions, retry failures, and duplicate actions.
Yes. We inspect existing tests, pull-request checks, CI/CD, staging, monitoring, deployment, and rollback controls that affect the reviewed journey. We do not implement every gap in the review fee.
Yes. APIs, webhooks, payments, CRM and automation workflows, document processing, agents, media pipelines, queues, retries, and recovery are checked when the critical journey depends on them.
Yes. The review is platform-agnostic and can inspect apps built with Lovable, Replit, Base44, Cursor, Claude Code, Codex, v0, Bolt, WordPress, or similar tools. Migration planning or implementation is separately scoped.
Yes, where it affects the reviewed journey. We check architecture, database design, reusable components, documentation, discoverability, platform lock-in, ownership, and the next developer's ability to make a safe change.
Yes, when they affect the launch journey. We check responsive behavior, loading, empty and error states, accessibility, SEO-critical surfaces, and launch-impacting product polish. A full redesign is outside scope.
48-hour Launch Readiness Review is $1,000 to $1,500 with a 48-hour turnaround. The final scope depends on the defined workflow, system access, evidence required, and agreed handover.
Customer data cannot cross tenants or environments Secrets and sensitive prompts do not leak through logs or errors Tool actions and fallback states are testable and reversible The engagement should end with an explicit handover and a clear list of remaining risks, not a general claim that the AI is safe.
The review covers the agreed release surface. It is not a penetration test, compliance certification, or full product security audit.
It checks one named journey across product behavior, access control, data handling, integrations, failures, deployment, monitoring, and handover, then gives an evidence-backed GO, CONDITIONAL GO, or NO-GO decision.
The decision is delivered within 48 hours after scope, access, and the critical journey are agreed. That clock is for one bounded review, not an open-ended investigation.
No. It is a bounded production-readiness review, not a formal penetration test, regulatory certification, legal opinion, or a guarantee that every future vulnerability has been found.
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