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@article{208000,
        author = {Prerak Vikas Mehta},
        title = {From Automation to Autonomy: Building Agentic AI Workflows Inside Odoo Enterprise},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {4},
        pages = {1-5},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208000},
        abstract = {Enterprise resource planning has long relied on rule-based automation: triggered actions that are fast but static and unable to reason across context. This paper examines the emergence of agentic artificial intelligence within Odoo Enterprise, in which systems sense operational context, reason over data drawn from multiple modules, and act without being explicitly invoked for every step. Drawing on four implementations spanning electric-vehicle manufacturing, healthcare distribution, industrial engineering, and electronic-waste refurbishment, the paper documents how native Odoo Enterprise AI features, including AI-based lead scoring in CRM, Smart OCR in Accounting, predictive replenishment in Inventory, natural-language search, and the Odoo AI App's no-code agent builder, can be combined with external machine-learning pipelines to automate decisions that previously required manual judgment. The paper proposes a three-pattern architecture for agent deployment (embedded, sidecar, and gateway), a tiered governance framework that scopes agent autonomy by risk, and a phased activation roadmap. The findings indicate that the principal barrier to agentic AI adoption in ERP is not model capability but data readiness and governance discipline, and that measurable value follows from a native-first, human-in-the-loop deployment strategy.},
        keywords = {Agentic AI, Artificial Intelligence, Automation, Enterprise Resource Planning, Governance, Odoo.},
        month = {September},
        }