| Authors | DR.HUSNA SULTANA |
|---|---|
| Article Type | Research Article |
| Language | English |
| Journal | North Asian International Research Journal of Sciences, Engineering & I.T. |
| ISSN | 2454-7514 |
| Volume | 12 |
| Issue | 1 |
| Pages | 26-31 |
| Publication Year | 2026 |
| Publication Date | January 01, 2026 |
| DOI URL | https://doiglobal.org/10.2026/NAIRJCSEIT.005 |
AI-driven modules are reusable software components that perform intelligent functions such as classification, prediction, recommendation, retrieval, generation, perception, planning, and decision support. Rather than constructing every application as a single monolithic model, modern systems increasingly combine specialized modules with databases, business rules, external tools, user interfaces, and human review. This paper examines the concept, architecture, lifecycle, and applications of AI-driven modules. It proposes a layered design consisting of data, model, retrieval, orchestration, policy, explanation, monitoring, and human-oversight modules. The paper reviews design patterns such as model-as-a-service, retrievalaugmented generation, mixture-of-experts, agentic tool use, and event-driven inference. It also discusses integration problems, including data contracts, latency, security, versioning, evaluation, observability, and cascading failure. The paper argues that modular AI can improve reuse, maintainability, scalability, and governance, but only when interfaces and responsibilities are explicit. Areference framework is presented for building AI modules that are reliable, replaceable, auditable, and aligned with organizational objectives.
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This scholarly article has been successfully registered and assigned a persistent DOI through DOIGLOBAL.
DOI: 10.2026/NAIRJCSEIT.005
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North Asian International Research Journal of Sciences, Engineering & I.T.
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DOIGLOBAL
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