Despite the enormous potential and benefits of AI deployment or adoption, Bangladesh’s IT sector has yet to utilize AI for operational risk management (ORM). The main purpose of this research is to identify the primary barriers to AI deployment in operational risk management, as seen by professionals at the chosen company from the IT Sector in Bangladesh, and to interpret the findings under the TOE framework (Technology-Organization-Environment Framework). This study will provide a summary of the current state of artificial intelligence in operational risk management in Bangladeshi enterprises from the IT Sector, and identify the primary barriers to AI adoption in operational risk management in Bangladesh through an examination of Bangladeshi professionals' perceptions. The study's findings are determined using a quantitative approach. This article presents the findings of an online survey questionnaire conducted on IT professionals from a Bangladeshi IT organization. Results indicate that the internal culture and social components, transparency issues, insufficient financial investment, sufficient non-AI techniques, insufficient legal and ethical framework, bias, inaccuracy, feedback, and algorithm misuse are key challenges. Applying the TOE framework, the above have been classified into three categories of barriers: organizational, environmental, and technical.