Capability-Centric Enterprise Architecture for Business-Technology Alignment and AI Adoption

Abstract

This paper presents an integrated overview of four complementary enterprise architecture artifacts: Business Capability Maps, Technical Capability Maps, shared technical implementation models, and business-to-technical traceability matrices. It explains how artificial intelligence can be modeled as business value, technical enablement, shared platform capability, and DevOps extensions through MLOps and LLMOps.

Keywords

Enterprise architecture · Business capability · Technology alignment · Artificial intelligence adoption · AI governance

Suggested Citation

Chokhawala, B. (2026). Capability-Centric Enterprise Architecture for Business-Technology Alignment and AI Adoption. Zenodo. https://doi.org/10.5281/zenodo.19722898

BibTeX

@article{chokhawala2026capabilitycentricenterprisearc,
  author    = {Chokhawala, Bhagyeshkumar},
  title     = {Capability-Centric Enterprise Architecture for Business-Technology Alignment and AI Adoption},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.19722898},
  url       = {https://doi.org/10.5281/zenodo.19722898}
}