Workflow in scope
One administrative or staff-assist workflow with approved sources and a named clinical or operational escalation owner.
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. We test failures, add controls, and give you launch evidence.
Administrative efficiency without crossing into clinical judgment · $4,500 sprint · One defined workflow
Direct answer
SMB Healthcare · AI Reliability Guardrails
What does this engagement mean 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Healthcare AI needs evaluation for incomplete patient information, ambiguous requests, outdated guidance, urgent language, and unavailable downstream systems.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.
Likely system boundaries
- Representative de-identified test cases
- Approved knowledge with version control
- Tracing, escalation, and incident workflow
Evidence required
- Test urgent, ambiguous, and out-of-scope requests
- Detect unsupported or outdated source use
- Verify escalation and safe fallback when systems or confidence fail
Important boundary
The sprint evaluates one defined workflow. It is not clinical validation, medical-device certification, or a substitute for privacy and compliance review.
Who this is for
For product and engineering leaders who cannot keep shipping on hope.
Best for Seed to Series B SMB Healthcare teams—where an AI feature exists, but deployment is frozen over hallucination risk, compliance exposure, or reputation damage.
- The agent hallucinates, loops, or takes unpredictable actions under real data.
- Leadership will not approve a launch because nobody can prove the system is safe.
- Tool calls fail, duplicate work, or leave the workflow stuck with no recovery path.
- You have logs or traces, but no clear evaluation set or release decision.
- Prompt changes create regressions you only notice after users complain.
- You are in fintech, healthtech, insurtech, or legaltech and compliance risk is real.
What changes in the sprint
BeforeAfter
“It seems better after the prompt change.”
Representative eval cases and an explicit go / no-go release decision
Failure shows up as a support ticket
Traces, failure classification, alerts, and defined recovery behaviour
AI takes a high-impact action with weak controls
Approval gates, permission boundaries, and clear escalation
Tool or API errors leave the workflow stranded
Retry, fallback, or human handoff—chosen on purpose
What is included
- One workflow architecture map and failure-mode inventory
- A scoped evaluation plan and representative test set
- Observability or tracing improvements so failures are diagnosable
- Guardrails, approval points, retries, fallbacks, or recovery controls in agreed scope
- Regression checks for the critical paths that matter most
- Handover: implementation notes, operating guidance, known limits, and next priorities
Pricing shape
$4,500
Reliability sprint: map failures, add the controls that matter, and produce release evidence for one defined workflow.
$1,500 / month
Optional retainer for ongoing observability, eval refresh, and controlled tweaks after the sprint. Only when it is useful—not as hidden scope.
Days 1–3 — Inspect the workflow, rank risks, lock definition of done
Days 4–10 — Build agreed guardrails, evals, and recovery behaviour
Days 11–14 — Regression review, release decision, handover
Frequently Asked Questions