Generative AI
playbook
Generative AI playbook: supercharge your enterprise strategy
GenAI playbooks as interactive, LLM-supported solution recipes tied to digital twins — simulating what-if scenarios and weaving ML into fluidic transformation across the value chain.
R
Rahul Mahajan
Nagarro · Kanchan Ray & Rahul Mahajan · 2024 · 4 min read
Co-authored with Kanchan Ray, this playbook piece treats Generative AI playbooks as interactive, LLM-supported solution recipes — connected to digital twins, able to run simulations, and usable in human language.
The goal is fluidic transformation: weave AI/ML into digital and data architecture so isolated use cases become enterprise-wide change, with what-if simulations and MLOps closing the loop on KPIs.
Key points
- Playbooks as agent-assisted recipes across the value chain.
- Digital-twin linked simulations and what-if scenarios.
- Prompting and MLOps as the operating fabric, not a side tool.
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