Enterprise Case Studies

Introduction

Concrete enterprise stories ground the theory. Three real ones below — patterns repeated across many companies.

Beginner analogy: Like reading software-architecture case studies — patterns crystallise.

Understanding the topic

Core concepts to understand:

• Klarna — 2/3 of all chats handled by AI; saved hundreds of FTE hours.
• Bloomberg — finance-specific prompts (BloombergGPT) for analyst workflows.
• JPMorgan — internal LLM Suite governed by strict prompt registry & audit.
• Common threads: governance + evals + HITL + monitoring.

Syntax reference

Visual workflow / architecture:

Case study pattern:
  Identify use case
  → Pilot with HITL
  → Eval & iterate
  → Roll out with governance
  → Monitor & improve

Real-world use

These are public case studies — read the full write-ups for depth.

Best practices

• Start small, prove value, then scale.
• Bake in governance from pilot, not after.
• Share learnings internally.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. Pick a case study and walk through it.
• Q2. Common patterns?
• Q3. Why pilot with HITL?
• Q4. How prove ROI?