Workflow in scope
One customer-facing AI path from login and data access through the most consequential action or answer.
48-hour launch review for B2B SaaS
AI features can improve a product quickly, but weak permissions, retrieval, state, and release evidence make customer trust difficult to scale. Get a clear GO / CONDITIONAL GO / NO-GO decision, evidence-ranked findings, and a fix-first plan in 48 hours.
A useful AI feature with evidence behind the release decision · $1,000 to $1,500 · 48-hour turnaround
Representative launch decision
SaaS launch readiness
Critical paths
03 exercised
Priority finding
Failure behavior needs a clear user-facing state before launch.
Direct answer
B2B SaaS · 48-hour Launch Readiness Review
A B2B SaaS readiness review should connect application security 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.
Workflow in scope
One customer-facing AI path from login and data access through the most consequential action or answer.
Likely system boundaries
Evidence required
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, answered
A B2B SaaS readiness review should connect application security 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.
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.
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