Context

Biofuel producers handle large volumes of compliance documents—quality records, sustainability evidence, batch‑wise documentation, and audit trails that must be maintained with precision. Traditional review processes are slow and manual, requiring teams to search through scattered files and cross‑check batch readiness. The Biofuel Compliance & Documentation Assistant uses an AI‑first design to embed intelligence directly into the compliance workflow. Built with Microsoft Plan Designer, it structures requirements, roles, processes, and the data model upfront, creating a foundation where AI can interpret evidence, summarize records, and maintain a clean audit trail automatically.

Challenges

Compliance and documentation teams must manage diverse evidence sets across batches—quality reports, sustainability proofs, compliance documents, and audit trails. Reviewing these manually is time‑consuming and prone to gaps. Teams lack a single system to monitor batch readiness, upload documents, standardize evidence sets, or track which records require attention. Without automated interpretation, it is difficult to identify missing documentation or understand the quality of existing evidence. Supervisors and auditors also need role‑specific visibility, but current systems scatter the information across multiple tools, making compliance reviews slower and less reliable.

Solution

The Biofuel Compliance & Documentation Assistant centralizes compliance operations through a structured, AI‑ready planning model. Key compliance, quality, and sustainability requirements are defined in Plan Designer, which automatically generates roles, responsibilities, processes, and the underlying data model. Evidence ingestion, AI‑based interpretation, summarization, gap detection, audit‑trail maintenance, and continuous compliance monitoring form the core workflow. Dedicated applications support each role: a Compliance Management Dashboard for supervisors, a Batch Readiness Monitor for production teams, and a Quality Evidence Upload app for QA specialists. Each app feeds into a single source of truth, enabling Copilot to provide grounded summaries, retrieve batch details, and highlight missing or low‑quality evidence. The system also includes alerts, approval workflows, reporting, and a Copilot agent that interprets records directly from Dataverse tables. The result is seamless traceability, faster audit preparation, and stronger compliance governance across all batches.