Turn one healthcare AI use case into a decision-ready pilot plan
The Healthcare AI Pilot Readiness Sprint makes the workflow, data needs, human oversight, risks, evaluation criteria and next delivery decision explicit before your team commits to a larger build.
Seven outputs required for a responsible pilot decision
- Intended user, problem and workflow boundary
- Current-state and proposed workflow map
- Data, integration and access requirements
- Human-review, escalation and failure rules
- Risk, privacy and governance questions
- Evaluation and pilot acceptance criteria
- Prioritised pilot roadmap and next decision
Define, examine, decide
Define the use case
Confirm the intended user, current workflow, responsible owner, available inputs and the decision the AI-assisted step would support.
Examine readiness
Map data, integrations, human review, risks, failure paths, evaluation scenarios and unresolved dependencies with the relevant stakeholders.
Make the next decision
Receive a prioritised roadmap and acceptance criteria showing whether to prototype, prepare a pilot, revise the scope or stop.
A strong fit
- One AI use case has been identified
- A workflow owner can participate
- The team needs a go, revise or stop decision
- Synthetic, de-identified or non-sensitive process information can be used first
The scope-completion commitment
The agreed outputs and delivery prerequisites are documented before kickoff. If an agreed deliverable is incomplete against that written scope, it is revised at no additional professional fee.
This commitment covers the deliverables Ayothedoc controls. It does not promise regulatory approval, clinical performance, adoption, revenue, savings or another party's decision.
Tell us the one decision your team needs to make
Applications are reviewed for fit. Do not include patient-identifiable data, credentials or other sensitive personal information.
Who is the sprint designed for?
It is designed for healthtech, MedTech, digital-health and healthcare teams with one defined AI use case that needs a practical go, revise or stop decision before a prototype or pilot.
Does the sprint provide regulatory or legal approval?
No. It identifies workflow, evidence, privacy, safety and governance questions that need owners. Formal legal, regulatory, information-security and clinical approvals remain with appropriately authorised professionals and organisations.
Do we need to share patient-identifiable data?
No. Do not submit patient-identifiable or other sensitive personal data through the application form. Discovery should begin with synthetic, de-identified or non-sensitive process information wherever possible.
What is the delivery commitment?
The standard target is five business days after kickoff, the agreed inputs are complete and the relevant stakeholders are available. The exact scope and start date are confirmed in writing first.