AI & Machine Learning

GenAI Pilot-to-Scale Framework

GenAI Pilot-to-Scale Framework is a case interview framework for ai/genai, digital transformation. Use to plan GenAI implementation from proof of concept to production at scale

When to use it

Use to plan GenAI implementation from proof of concept to production at scale

Where it fits

Best for AI/GenAI cases, LLM adoption, and AI transformation cases

How to use it in a case

Move through phases: (1) Identify high-impact use cases, (2) Verify data access and quality, (3) Select model architecture (RAG, fine-tuning, agent), (4) Manage model risk and security, (5) Build MVP, (6) Drive adoption, (7) Scale. Always include human-in-the-loop, privacy controls, hallucination mitigation.

  1. Use Case Prioritization. Identify high-impact, feasible GenAI opportunities aligned with business strategy
  2. Data Readiness. Verify data access, quality, and governance for model training/context
  3. Architecture Pattern. Select appropriate pattern (RAG, fine-tuning, agentic workflow) based on use case
  4. Model Risk & Security. Address hallucination, bias, data privacy, IP protection, jailbreak risks
  5. MVP Build. Build minimum viable product with safeguards
  6. Adoption. Drive user adoption, feedback loops, human review
  7. Scale. Roll out to production, monitor performance, iterate

Case types

AI/GenAI, Digital Transformation.

Source: Consulting best practice.

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