--- title: "Connected Delivery: data, evaluation, implementation | YPAI" url: https://ypai.ai/connected-delivery/ description: "One accountable owner across AI data, evaluation and implementation, one acceptance model for both workstreams and one signed handover." source: "src/copy/routes (route /connected-delivery/)" --- # One AI outcome. One accountable owner. > One accountable owner across AI data, evaluation and implementation, one acceptance model for both workstreams and one signed handover. Data, evaluation and implementation, delivered as one engagement, judged by one acceptance model, handed over as one signed package. - [Scope a project →](https://ypai.ai/contact-us/) - **Outcome defined**: ONE RECORD - **Data dependency**: NAMED - **Evaluation set**: HELD - **Implementation**: TESTED - **Review boundary**: SET - **Acceptance gates**: 12 / 14 - **Handover**: SIGNED - **Owner**: ONE ## Outcome ## The seam ## Evidence ## Review boundary ## Acceptance ## Handover ## One owner ## Patterns ## The hard part is between the workstreams. So the outcome is defined once, for all of them. An AI system fails while every supplier reports its own task complete. The engagement starts with one definition of the outcome, and every workstream is measured against it. Pick an operating condition and the record shows where it is measured. ## One reading on one side of the seam. Two consequences on the other. The same sentence under three conditions the product meets. The model reads all three in this tab. The condition that breaks the threshold becomes a collection order on the data side and a rule on the system side, in the same engagement. ## A judge, calibrated against people. So acceptance runs every night. The evaluation set is graded by a model on YPAI's EU profile and by two reviewers. The page shows whether the model's verdict flips when the pair is swapped, and how far it agrees with the reviewers. That agreement is what lets the acceptance model run on every release. Claude Sonnet 4.6 · eu-west-1 · runs when you ask ## Human judgment inside the workflow. You are the reviewer. The assistant answers from the source. A reader in this tab finds the passage the answer rests on, or finds none. You approve or escalate, and the decision goes on the record. the answer · the source passage · the reader's span and score · the policy version caller identity · account number · call recording · other cases ## One acceptance model. Both workstreams are judged by it. Fourteen gates across data, evaluation, implementation and operations. Each gate is a reading, a threshold and a verdict, with its evidence. The readings from the stations above land in it. Move one threshold and see which workstream has to deliver. degradation allowed under an open line ## One signed package. Verified where it lands. The handover is one manifest over ten artefacts, from the specification to the regression set your own team runs. Every artefact carries its hash; the manifest carries a signature your browser checks against a published key. Your decisions on this page are in it. ## One accountable owner. In two shapes. YPAI owns the connected workstream end to end, or runs it beside your integrator, model provider and data supplier. In both shapes one delivery lead holds scope, acceptance and the escalation path. YPAI beside your integrator and suppliers ### Connected Delivery is what you buy. Controlled Delivery is how YPAI runs it. Underneath the engagement runs the same operating discipline as every YPAI delivery: defined scope and responsibilities, acceptance criteria, data and system boundaries, consent and permitted use, rights and provenance, security review, human review, quality assurance, audit records, change control, delivery manifests, handover, retention. roles under the EU AI Act, stated In the first shape YPAI is the provider of the system and you are its deployer. In the second, the party that places the system on the market is the provider. A deployer that substantially modifies the system takes the provider's role. - [Regulation (EU) 2024/1689](https://eur-lex.europa.eu/eli/reg/2024/1689/oj) ## Four patterns. The same acceptance model, weighted differently. ### Data to system - You need a production system and the required data or knowledge base is incomplete. Collection, rights review, preparation, the evaluation set and the application are one scope. ### System to evidence - You have built a system and lack evidence that it is ready. Workflow analysis, the evaluation set, expert review and the changes it forces are one scope. ### Evaluation to improvement - Performance is weak and the defect is not located. Error taxonomy, diagnosis, new data or labels and the fix are one scope. ### Pilot to production - The complete operating model is validated before scale. The pilot tests the dependency that could break production; production is a separate decision after acceptance. ### A pilot tests the dependency that could break production. Whether the data can be collected, whether the evaluation method finds meaningful defects, whether reviewers apply the rubric consistently, whether integrations work under real permissions, and whether you and YPAI read success the same way. ## Start with the outcome and the dependency behind it. The first brief can leave the answer open: more data, a different evaluation method, a new agent, a RAG system, an integration or a combination. YPAI turns it into a connected scope, a workstream plan and an acceptance model. - [Scope a project](https://ypai.ai/contact-us/) - [Send a requirement or project brief →](https://ypai.ai/contact-us/) - [Explore AI Data & Evaluation](https://ypai.ai/data-solutions/) - [Explore AI Implementation](https://ypai.ai/ai-implementation/) ## Is Connected Delivery a third YPAI service line? YPAI has two service lines, AI Data & Evaluation and AI Implementation, and each is purchased on its own. Connected Delivery is the engagement model for the cases where the dependency between them decides whether the outcome works. ## Who owns the outcome when one vendor supplies the data and builds the system? One delivery lead at YPAI holds scope, the acceptance model and the escalation path for the whole engagement. The RACI in the statement of work names who owns data quality, model behaviour, integration and the release decision. ## What does the handover contain? The system and its deployment configuration, the data assets and their rights records, the evaluation set and rubric, test results, review records, documentation, and a regression set your own team runs after handover. One signed manifest lists them all. ## Does YPAI work beside our existing integrator or model provider? Yes. In that shape YPAI owns a defined connected workstream inside the larger engagement, with the same acceptance model and the same delivery lead. ## How is acceptance decided? Per engagement, from gates agreed in the statement of work: functional requirements, task completion, retrieval quality, groundedness, speech or language performance per condition, human-review results, safety tests, latency, rights completeness and operational sign-off. Both workstreams are judged by the same gates.