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ARTICLE · 03 AUGUST 2026

Business Analysis In The Age Of Agentic AI

As organisations explore agentic AI systems capable of autonomous decision-making and task execution, the strategic importance of business analysis intensifies. This examination reveals how business analysts must now define decision boundaries, establish governance frameworks, and ensure AI implementations align with measurable business outcomes rather than technology-first approaches.

MaltaTechnology

Introduction

The rapid development of artificial intelligence is prompting organisations to reconsider how work is performed, how decisions are made and how services are delivered.

Agentic AI is one example of this shift. Unlike AI tools that primarily generate information, AI agents may be able to interpret an objective, complete several activities and interact with business systems with varying levels of human involvement.

However, the introduction of more capable technology does not remove the need for structured analysis. It increases it.

Before an organisation can determine where AI should be used, it must understand the problem being addressed, the value expected, the people affected, the decisions involved and the risks that must be managed.

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