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Labarum AI # Innovation and proof-of-concept work Test the uncertain part before committing to the whole. Proposed engagement scope ## The work to clarify A proof of concept should answer a question that affects the next decision. Can the assistant retrieve the right source? Can it distinguish an exception from a routine request? Can the proposed workflow fit the operator’s day? A strong experiment states that uncertainty before building the demonstration. ## How an engagement can work Prototype work can explore conversational interfaces, retrieval over approved documents, agent-assisted workflows and new interaction patterns. Use synthetic or explicitly approved data first. Evaluate realistic failures as well as successful examples, and compare the prototype with the current process. A promising result is evidence for the next stage, not proof of production readiness. ## Deliverables to agree - Experiment brief and measurable success criteria - Bounded prototype with documented limitations - Evaluation findings and a go, revise or stop recommendation ## A practical starting point Bring the hypothesis and the decision it will inform. Agree the test set, review process and data boundary. NEO remains a separately scoped concept; this website does not establish its deployment or product readiness. [Prepare a discovery brief](/prep/labarum-review-contact.html) [All services](/prep/labarum-review-services.html)