@inproceedings{agarwal-etal-2026-paper,
    title = "From Paper to Structured {JSON}: An Agentic {AI} Workflow for Compliant {BMR} Digital Transformation",
    author = "Agarwal, Bhavik  and
      Bendre, Nidhi  and
      Rojkova, Viktoria",
    editor = {Matusevych, Yevgen  and
      Eryi{\u{g}}it, G{\"u}l{\c{s}}en  and
      Aletras, Nikolaos},
    booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 5: Industry Track)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-eacl/2026.eacl-industry.3/",
    pages = "39--47",
    ISBN = "979-8-89176-384-5",
    abstract = "Agentic AI workflow converts noisy pharmaceutical batch records into validated JSON using hybrid OCR, vision{--}language and schema-guided LLMs, cutting QA review from hours to minutes while preserving GMP-critical structure."
}