--- title: "AI Pilot Projects for Data and Implementation | YPAI" url: https://ypai.ai/pilots/ description: "Validate a customer-specific AI data, evaluation or implementation workflow against agreed requirements before production, in a dedicated pilot workspace." source: "src/copy/routes (route /pilots/)" --- # Prove the delivery before you scale it. > Validate a customer-specific AI data, evaluation or implementation workflow against agreed requirements before production, in a dedicated pilot workspace. YPAI designs each pilot around your real data, your systems, and the way you actually operate. You review the results against acceptance criteria agreed before the work starts, then decide whether to move to production. For AI Data & Evaluation, AI Implementation, or a connected delivery across both. ## A pilot is not a generic demo. It is a limited, contract-defined validation of the delivery YPAI would be expected to run in production. The pilot uses your actual objective, operating constraints, technical requirements and acceptance criteria. Depending on the engagement, it may validate a data workflow, an AI system, an evaluation method, or the connection between them. The platform walkthrough shows how one session moves through specification, capture, quality, rights and verified delivery. The question is not whether a sample looks promising. The question is whether the delivery method meets the requirements that matter in production. ## One validation model. Three delivery paths. Each path is tested against agreed requirements and acceptance criteria before production. ### Validate the data, workflow and quality model. ### Validate the system in the real operating context. ### Validate the data and the system together. ## Scope. Define. Run. Review. Decide. Each stage is agreed, executed and reviewed against the pilot requirements. ### Start with the real requirement. - You and YPAI define the objective, the current starting point, and the constraints that decide success: technical requirements, expected outputs, timeline, known risks. ### Agree what success means before work begins. - The pilot agreement fixes the test before work begins: what will be delivered, how quality is measured, who carries which risk, and how changes are handled. ### Configure and execute the pilot. - YPAI configures the required workflow, environment, review process and delivery controls, then produces the agreed pilot output or working system. ### Inspect the results directly. - You receive access to a dedicated pilot workspace and analyse the outputs, quality measurements, acceptance results and exceptions yourself. ### Scale, remediate or stop. - You can accept the pilot and proceed to production, request an agreed remediation, or stop without a production commitment. The next step follows the documented result, not a sales assumption. ## A pilot creates a decision point, not an automatic expansion. ### Move into production. - You and YPAI define the production scope, commercial model, capacity, controls and ramp plan using the accepted pilot as the reference. ### Correct against the same criteria. - Where the agreement provides for remediation, YPAI corrects the identified issues and the affected result is evaluated again against the agreed requirements. ### End without a production commitment. - A pilot does not obligate you to proceed. The project can stop after review, subject to the commercial and contractual terms agreed during scoping. ## The pilot contract defines the test. The documents and requirements are selected for the actual engagement. ### Scope of work - The objective, deliverables, responsibilities, timeline, dependencies and exclusions. ### Technical requirements - The relevant modalities, systems, formats, environments, integrations, volumes and operating constraints. ### Acceptance criteria - The quality rubric, measurement method, review sample, evidence requirements, rejection reasons and acceptance window. ### Data protection and rights - The DPA, processing roles, permitted use, consent or licensing requirements, retention, access and deletion obligations where applicable. ### Commercial structure - The pilot fee, setup or mobilisation costs, third-party expenses, payment triggers and treatment of accepted and non-accepted work. ### Remediation and change control - What YPAI may correct, how the result is re-evaluated, and how changed requirements affect scope, cost and timing. For a multi-object video tracking pilot, acceptance can require HOTA 0.65 or higher and IDF1 0.75 or higher across the agreed review sample before the result is accepted. The commercial structure follows the work. The commercial and acceptance model is written for the actual pilot. - Some pilots can be completed without a separate pilot fee. Others require paid setup, mobilisation, specialist work, participant costs, hardware, engineering or other project-specific resources. - You and YPAI agree the structure during scoping, based on complexity, setup cost, delivery risk and the resources required. - If YPAI, through its own fault, does not meet the agreed requirements, YPAI bears the cost allocated to that failure under the pilot agreement. The treatment of setup costs, third-party expenses, remediation and changed requirements is agreed before work begins. ## Review the evidence directly. Each pilot includes a dedicated result surface where you can inspect and analyse the work against the agreed criteria. You are not limited to a presentation or a summary prepared by YPAI. Depending on the engagement, the workspace can include: - Delivered files, samples or system outputs - Review findings, exceptions and failure reasons - Manifests, checksums and rights linkage where relevant You see what was produced, how it was evaluated and what remains unresolved. ## What buyers usually need to know. The due-diligence answers, in writing, before the call. ### Is every pilot paid? No. The commercial structure is agreed during scoping based on complexity, setup cost, required resources and risk. ### Is there a standard pilot size or duration? - No. Sized to the delivery method. No. The scope must be large enough to test the relevant delivery method and small enough to remain a controlled validation. The appropriate volume and duration depend on the project. ### Can a pilot cover both service lines? - Yes, or a connected delivery across both. Yes. A pilot can cover AI Data & Evaluation, AI Implementation, or a connected delivery across both. ### What documentation is used? Each pilot uses the documentation required for that engagement. This can include a scope of work, DPA, rights and processing terms, technical specification, acceptance criteria, commercial terms and change-control provisions. ### What happens if the requirements change during the pilot? Material changes are handled through the agreed change-control process. New requirements do not silently become part of the original acceptance test. ### What happens if YPAI does not meet the agreed requirements? The consequences are defined during scoping and written into the pilot agreement. Where the failure is caused by YPAI, YPAI bears the cost allocated to that failure under the agreement. ### Does an accepted pilot automatically become production? - No. Production is a separate decision. No. An accepted pilot provides the evidence and reference point for a separate production decision, scope and agreement. ### Can we review the results ourselves? - Yes. On a dedicated result surface. Yes. You receive access to a dedicated pilot result surface where the relevant outputs, measurements, exceptions and documentation can be analysed.