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AI-Augmented Delivery: How Gen-AI Is Changing Business Analysis
An honest assessment from inside real AI Innovation work: where Gen-AI genuinely speeds up BSA delivery, where it quietly damages quality, and how to build a review discipline that scales beyond one analyst.
Written for: BSA, Technology professionals
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What is inside
- Why I Wrote This: An honest starting point: real measured results, not vendor claims.
- Where Gen-AI Actually Helped Me: The specific, proven patterns, expanded beyond drafting alone.
- The Three Failure Patterns, In Depth: Fabricated specificity, traceability erosion, and confidence substituting for rigor -- including the one that got past me.
- RAG vs Fine-Tuning: The Deep Dive: Why retrieval won for my workload, and the narrow cases where I'd still reach for fine-tuning.
- Building a Review Discipline That Scales: Moving from my own personal checklist to a team-wide practice.
- Governance and Auditability for AI-Assisted Work: What a governance reviewer actually needs to see, and how I learned to provide it without slowing delivery to a crawl.
- Rolling This Out Across a Team: How I introduced AI-assisted drafting to a team that had never used it, without a mandate and without chaos.
- What I'd Do Differently Starting Over: The specific decisions I'd make earlier if I were piloting this again from scratch.
- Where This Goes Next: Honest, grounded speculation about what changes and what doesn't.