Launch gate
One named journey
- 01 · Identity + data access
- 02 · Action + confirmation
01 · Critical journey
/Pressure-test the journey
One patient or staff journey spanning identity, sensitive data, a consequential update, and confirmation.
AI-built healthcare app rescue
Patient intake, scheduling, and billing still depend on repetitive manual work across sensitive systems.
Administrative efficiency without crossing into clinical judgment · $1,000 to $1,500 · Human-led review · 48-hour turnaround
Representative AI app rescue brief
healthcare app rescue brief
Critical paths
03 exercised
Priority finding
A timeout can repeat a consequential action without a safe recovery boundary.
Direct answer
SMB Healthcare · 48-hour Launch Readiness Review
An independent review of an AI-built healthcare app should prioritise patient identity, record access, appointment and billing integrity, uploaded documents, staff roles, and production configuration.
Launch gate
One named journey
01 · Critical journey
/One patient or staff journey spanning identity, sensitive data, a consequential update, and confirmation.
Launch gate
Where risk concentrates
02 · System boundaries
/Storage policies, notifications, and environment configuration
Launch gate
What changes the call
03 · Evidence required
/Partial failures cannot silently lose or duplicate appointments and billing actions
Important boundary
The review finds practical release risks in the agreed surface. It is not a HIPAA audit, penetration test, clinical validation, or regulatory certification.
Read the full 48-hour Launch Readiness Review scopeQuestions
An independent review of an AI-built healthcare app should prioritise patient identity, record access, appointment and billing integrity, uploaded documents, staff roles, and production configuration. The most important defects often appear in edge cases such as shared devices, expired links, partial saves, and failed integrations.
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.
Patient information cannot cross accounts or roles Sensitive links, uploads, logs, and errors do not expose data Partial failures cannot silently lose or duplicate appointments and billing actions 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 finds practical release risks in the agreed surface. It is not a HIPAA audit, penetration test, clinical validation, or regulatory certification.
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.
Search Topiax offers and proof by the situation you are in.
Cookie preferences
Necessary cookies, optional analytics, no ads. · Privacy