AI Reliability Sprint · SMB Healthcare: Make your healthcare AI safe enough to launch.

We fix what your Review found, put guardrails around your healthcare AI, and test it on urgent, unclear and out-of-scope requests.

  • $4,500 sprint
  • About 10 business days
  • After a Topiax Review

SMB Healthcare focus: Less admin work, with clinical judgment left to clinicians

Healthcare release readiness

Decision: conditional

  • Eval suite
  • Failure handling
  • Guardrails
  • Recovery path

Representative preview · your record is built from your own app

For healthcare teams

What the Sprint tests for healthcare teams.

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

Where it applies

Administrative or staff-assist features with approved sources and a named escalation owner.

What the tests use

  • Representative test cases with identities removed
  • Approved knowledge, kept under version control
  • Tracing, escalation, and incident process

What must pass

  • Urgent, unclear, and out-of-scope requests are tested
  • Unsupported or outdated sources are caught
  • Escalation and a safe fallback work when systems or confidence fail

What it does not cover

The Sprint is not clinical validation, medical-device certification, or a substitute for privacy and compliance review.

See the full AI Reliability Sprint scope and price

What changes in the sprint

  • BeforeCritical and High findings sit in a report

    AfterFixed for you, reviewed, then re-tested

  • BeforeNothing limits what your AI feature does

    AfterGuardrails: limits on what the AI accepts, answers and spends

  • Before“It seems better after the prompt change.”

    AfterAn eval suite: automated tests that re-check the AI on every change

Questions

Before you start.

What does the AI Reliability Sprint cover for healthcare teams?

For healthcare teams, the Sprint fixes what your Review found and tests the AI on incomplete patient details, unclear requests, outdated guidance, urgent language, and outages. Safe means knowing when to look something up, ask, escalate or refuse.

What should healthcare teams check before launch?

Before launch, check three things: urgent, unclear, and out-of-scope requests are tested; unsupported or outdated sources are caught; and escalation and a safe fallback work when systems or confidence fail.

What does the AI Reliability Sprint not cover for healthcare teams?

The Sprint is not clinical validation, medical-device certification, or a substitute for privacy and compliance review.

What does the AI Reliability Sprint cost, and what does it need?

The AI Reliability Sprint costs $4,500, fixed, and takes about 10 business days. It needs a Topiax Launch Readiness Review from the last 60 days, because the Review's findings decide what gets fixed. Reliability Continuity afterwards is optional, at $1,500 per month.

Does the AI Reliability Sprint build LLM and RAG evaluation test sets?

Yes, the AI Reliability Sprint sets up an eval suite: automated tests that re-check the AI on every change. For healthcare teams, the test cases usually start from representative test cases with identities removed.

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