AI-Powered Business Analysis: A Human-Centred Approach to Requirements Discovery

AI can accelerate research, question generation, synthesis and requirements review, but it cannot own business context or stakeholder decisions.

This practitioner-led session introduces a Human-AI Discovery Loop that helps Business Analysts frame the problem, prepare trusted evidence, use AI to explore and challenge, engage stakeholders and validate every output. Through an illustrative telecommunications customer-onboarding case study and reusable prompts, attendees will see how to reduce manual effort without losing traceability, privacy or human judgement. They will leave with practical guardrails, measures and a 30-day adoption path for applying AI responsibly in requirements discovery and analysis.

Key Takeaways

• Five steps for AI-assisted requirements discovery that never skip human validation.
• Reusable prompts that widen discovery, expose assumptions and improve testability without inventing missing facts.
• How to build privacy, evidence boundaries, human review and traceability into AI-assisted Business Analysis workflows.

About the Speaker

Pat Gulwa is a Senior Business Analyst, coach and author with more than 20 years of experience across telecommunications and enterprise technology. During her career, she has worked on complex business and technology initiatives involving requirements engineering, process improvement, digital transformation, stakeholder engagement and Agile delivery.

Pat is the founder of The BA Growth Hub and author of AI-Powered Business Analysis. Her work focuses on helping Business Analysts combine practical analysis, stakeholder judgement and responsible AI to improve decision-making and create stronger business outcomes.