AI reliability for SMB Healthcare

Make your healthcare AI safe enough to launch.

Patient intake, scheduling, and billing still depend on repetitive manual work across sensitive systems.

Administrative efficiency without crossing into clinical judgment · $4,500 sprint · One defined workflow

Representative release gate

healthcare deployment gate

Conditional

Release decision

Controls required before approval

High-impact path

A failed tool call must have an intentional retry, fallback, or handoff.

Evaluate

Test set

Control

Approval

Recover

Owner

Representative preview - evidence is built from your workflow

Direct answer

SMB Healthcare · AI Reliability Sprint

What gets checked before release?

Healthcare AI needs evaluation for incomplete patient information, ambiguous requests, outdated guidance, urgent language, and unavailable downstream systems.

01 · Review mapCritical journey

Launch gate

One named journey

  1. 01 · Identity + data access
  2. 02 · Action + confirmation

01 · Critical journey

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Pressure-test the journey

One administrative or staff-assist workflow with approved sources and a named clinical or operational escalation owner.

In scope · 48 hours
02 · Review mapSystem boundaries

Launch gate

Where risk concentrates

  1. 01 · Representative de-identified test cases
  2. 02 · Approved knowledge with version control

02 · System boundaries

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Trace the boundaries

Tracing, escalation, and incident workflow

In scope · 48 hours
03 · Review mapEvidence required

Launch gate

What changes the call

  1. 01 · Test urgent, ambiguous, and out-of-scope requests
  2. 02 · Detect unsupported or outdated source use

03 · Evidence required

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Prove the controls

Verify escalation and safe fallback when systems or confidence fail

In scope · 48 hours

Important boundary

The sprint evaluates one defined workflow. It is not clinical validation, medical-device certification, or a substitute for privacy and compliance review.

Read the full AI Reliability Sprint scope

Questions

Before you start.

What does the review check for healthcare teams?

Healthcare AI needs evaluation for incomplete patient information, ambiguous requests, outdated guidance, urgent language, and unavailable downstream systems. Safe behaviour means knowing when to retrieve, clarify, escalate, or refuse-not merely producing fluent text.

Can you rescue an AI-built prototype before launch?

Yes. The review identifies the bugs, architecture gaps, deployment issues, monitoring gaps, and edge cases that could block a trustworthy release. Implementation is separately scoped.

Does the review check authentication, permissions, and tenant isolation?

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.

Will a human review the AI-generated code?

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.

More answers
Do you check tests, CI/CD, staging, and rollback?

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.

Can you review integrations, webhooks, payments, and background jobs?

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.

Can you review an app built with Lovable, Replit, or similar tools?

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.

Will the review address technical debt and future handoff risk?

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.

Can you review UX, mobile behavior, SEO, and conversion issues?

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.

What does the review cost?

AI Reliability Sprint is $4,500 for one defined workflow, with an optional $1,500 per month retainer. The final scope depends on the defined workflow, system access, evidence required, and agreed handover.

What evidence should we require before launch?

Test urgent, ambiguous, and out-of-scope requests Detect unsupported or outdated source use Verify escalation and safe fallback when systems or confidence fail The engagement should end with an explicit handover and a clear list of remaining risks, not a general claim that the AI is safe.

What is outside the review scope?

The sprint evaluates one defined workflow. It is not clinical validation, medical-device certification, or a substitute for privacy and compliance review.

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