Pilot Sprint
We designed the Pilot Sprint to deliver real, testable results in a short, predictable engagement. Here’s how it works technically.
Step 1
Define the Technical Outcome
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Collaborate with your team to identify a concrete deliverable: feature, backend service, integration fix, or AI module.
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Scope is strictly 20 hours, with measurable acceptance criteria: unit tests, integration tests, API endpoints, database migrations, or frontend flow.
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All dependencies, credentials, and sandbox access are verified upfront to avoid blockers.
Example: Deploy a QA environment with real sandbox APIs and 100% pass rate on regression tests, or implement a Spring service with integration tests and async-safe DB transactions.
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Step 2
Execute the Sprint
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Work is done directly on your environment or a mirrored dev/QA setup.
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Deliverables are production-ready code, not prototypes.
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CI/CD pipelines, Docker images, database migrations, and automated tests are applied as part of the sprint.
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Frequent commits and documentation updates ensure full traceability and auditability.
Example: Push a fully functional Docker image for QA, run environment-specific regression tests, or deliver an LLM-backed medical coding engine with API endpoints and test coverage.
Step 3
Review, Verify, and Decide
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At sprint completion, all work is demonstrated and verified against acceptance criteria.
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You review code, tests, logs, and environment setups.
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Risk reversal: if the sprint does not meet expectations, you can request up to 80% refund. Otherwise, work continues seamlessly in production or a follow-up engagement.
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Sprint deliverables include unit and integration tests, documentation, scripts, and operational artifacts ready for immediate use.
Example: Regression tests pass on QA, endpoints are ready for frontend consumption, and Dockerized services are deployable in production.
