From the course: Agentic AI for Business Analysis
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AI-solution requirements approach and planning
From the course: Agentic AI for Business Analysis
AI-solution requirements approach and planning
- Agentic AI is complex and requires an approach that balances agility, experimentation, thoughtful analysis, and decision-making. AI brings us an opportunity to rethink customer and business processes, not just solve problems. I recommend that we use an approach that has both incremental and iterative in nature, using experimentation and flexible scope, focusing on outcomes rather than outputs. Agentic AI is high in uncertainty, has ambiguous paths and evolving goals, but this does not mean we abandon discipline. It's a fusion of agility, experimentation, systems thinking, synthesis and precise business analysis that brings clarity to the chaos. This isn't about writing a bunch of user stories. A business analyst plays the role of an orchestrator to frame the problem, the opportunity, question assumptions, define what success looks like, and facilitate the collaboration and decision-making between business leaders, stakeholders. and development teams. Next, let's talk about what…
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