Healthcare · 30-day AI Sprint
One workflow, thirty days, a real number at the end.
Pick the administrative workflow that hurts most. In 30 days you get working software, an eval score, and an honest recommendation — including the recommendation not to proceed.
- Week 1 — discovery & scoping
- Week 2–3 — build & integrate
- Week 4 — handoff & roadmap
- Productized · transparent pricing
The 30-day ship guarantee
If we don't ship working code in 30 days, you don't pay.
Working code means deployed to a URL we agreed on in week 1, with the eval suite we scoped passing. If we miss that bar for reasons within our control — our team, our timeline, our capacity — the entire engagement is free. Spelled out explicitly in the contract.
- Defined bar. Deploy URL + agreed eval suite passing — written down before we start.
- Real teeth. Miss it for our reasons → no invoice. Not a discount, not a credit — zero.
- Fair carve-out. Only covers blockers within our control — not data access you can't grant us.
- Code is yours. Whether you pay or not, the repo and IP belong to you from day one.
What we build
30-day AI Sprint for healthcare, specifically.
- 01
Prior-authorisation assembly
Evidence pulled from the record into the payer's format for a human to check. A high-volume, low-clinical-risk process with a measurable clock on it.
- 02
Referral triage
Inbound referrals classified, deduplicated and routed with the missing-information list already drafted.
- 03
Coding support
Suggested codes with the supporting passage highlighted, scored against your coders' historical output rather than a public benchmark.
What we measure
- Accuracy against your team's own historical decisions
- Minutes saved per case, measured not estimated
- Exception rate and what the exceptions have in common
Instrumented in week one and reported weekly. These are the numbers the engagement is judged on — not a forecast of what they'll be.
Constraints
What has to be true in healthcare.
- 01
PHI does not go in a prompt by default
We de-identify at the boundary and re-associate after, so the model sees the clinical question without the identity attached. Where full context is unavoidable, it runs under a BAA or inside your own infrastructure.
- 02
The system drafts; a clinician decides
Nothing reaches a patient without review on any pathway that touches clinical content. That gate is a hard architectural boundary, not a configuration toggle someone can turn off later.
- 03
Refusal beats a plausible answer
Out-of-scope questions get an explicit hand-off to a human with a callback, not a hedged paragraph. We test the refusal path as carefully as the answer path.
How it runs
The 30-day AI Sprint engagement, step by step.
- 1
Discovery & Scoping
Use-case workshops, success metrics, technical scoping, data audit, and a written plan you can take to your board.
- 2
Build
Working prototype on your real data — agent / RAG / pipeline / model — wired to your real systems, not synthetic data.
- 3
Iterate with eval
Eval suite, guardrails, stakeholder review sessions. We tighten until the metric moves or we've proven it can't.
- 4
Handoff & Roadmap
Code, runbook, eval scores, 90-day production roadmap. Optionally rolls into a Production engagement.
Integrations
Systems we wire into for healthcare.
- Epic & FHIR APIs
- Athenahealth
- HL7 v2 feeds
- Twilio & WhatsApp Business
- Zendesk
- Snowflake
- S3 with encryption at rest
- Practice-management and RCM systems
FAQ
30-day AI sprint for healthcare: your questions.
Can you finish anything meaningful in 30 days under HIPAA?
Yes, if the scope is one workflow and the data access is agreed in week 1. The access conversation is what usually slows healthcare sprints, so we start it before the contract is signed.
What if the sprint shows it doesn't work?
You still get the code, the eval scores and a written recommendation against proceeding. Roughly one sprint in five ends that way, and it's the cheapest possible version of that discovery.
What if you don't ship in 30 days?
You don't pay. "Working code" means deployed to a URL we agreed on in week 1, with the eval suite we scoped passing. If we miss that bar for reasons within our control (our team, our timeline, our capacity), the entire engagement is free. Spelled out explicitly in the contract.
Is the code ours?
Yes, from day one. You own the repo, the IP, and the right to take it elsewhere if you want.
Contact
Talk to us about 30-day ai sprint for healthcare.
Two or three sentences about the workflow you'd start with. We reply within one business day.
Or skip the form — book a Calendly slot directlyadmin@neuroxai.com · +91 70149 99768
Remote-first team across India · US · EU · HQ in Udaipur, India
More for Healthcare
Other work we do in this vertical.
- RAG for healthcare and clinical documentsRetrieval over clinical guidelines, payer policy and internal SOPs — with the citation, the version, and an explicit refusal when the library doesn't cover the question.Read
- AI agents for healthcare operationsAgents that handle scheduling, reminders, insurance verification and document chase across voice and messaging — escalating anything clinical to a person immediately.Read
- Healthcare AI governance and readinessUse-case triage against clinical risk, a data-handling design that survives a HIPAA or DPDP review, and an oversight model your clinical governance body will actually accept.Read
Same service, other industries
30-day AI Sprint elsewhere.
- 30-day AI sprint for logisticsPick the exception that costs the most operator hours. We ship working software against it in 30 days with an eval score, or you don't pay.Read
- 30-day AI sprint for hospitalityScope it to a single property and the highest-volume request types. In 30 days you get working software running on real guests, with the numbers to decide about the rest of the estate.Read