A Framework for Managing Indeterministic Aspects in Enterprise AI Implementations

Anil Kumar Pantangi

Abstract: As organizations become more aware of how artificial intelligence (AI) can accelerate digital transformation, it will become crucial for them to manage the unpredictable aspects of AI-related projects to ensure sustained positive outcomes. This paper presents a structured approach to assist organizations that are tasked with dealing with the inherent indeterministic nature of AI-type projects. The structured approach includes uncovering the feasibility of AI in definite organizational contexts, initial project scoping and experiment planning, designing a human-in-the-loop (HITL) and feedback framework, and developing a sustainable governance and accountability model. By utilizing a structured process, organizations can align their AI deployments with business outcomes while mitigating corporate risks associated with the probabilistic nature of AI outputs.

Keywords: Artificial Intelligence, Enterprise Strategy, Human-in-the-Loop, AI Governance, Experimentation, Feedback Loops