The research and application of artificial intelligence (AI) in the halal industry were mapped through the adoption of the PRISMA-guided Systematic Literature Review (SLR) to derive a Shariah-compliant research agenda for Halal Industry 4.0. This was achieved by searching Scopus (TITLE–ABS–KEY) for relevant publications from 2000 to March 2025. The records obtained were screened using predefined inclusion/exclusion criteria followed by the analysis of the selected articles through descriptive bibliometrics, inductive thematic coding, and keyword co-occurrence mapping (VOSviewer). The screening showed that 23 out of the 95 records initially identified met the eligibility criteria and were published from 2017 to March 2025 as a reflection of the recency and rapid growth of the AI–halal research field. The analysis also showed that AI such as computer vision/OCR, spectroscopy-data analytics, and AI–blockchain/Internet of Things (IoT) architectures was most frequently used for halal authentication and traceability, efficiency and decision support in certification and supply chains, data-driven applications in halal tourism, fintech, and consumer analytics. However, the evidence remains fragmented due to limited real-world validation, inconsistent reporting of data provenance and model transparency, as well as an underdeveloped conceptual bridge between AI governance and Shariah/maqasid al-sharı‘ah requirements. Future research should prioritise explainable and auditable AI for halal assurance, interoperable standards for cross-border digital certification, and practical small and medium scale enterprise (SME) adoption pathways through shared infrastructure and regulatory sandboxes.