Security • Process Design • Rollout • Operating Model
This framework outlines how teams can safely and effectively adopt Large Language Models (LLMs) by establishing governance, aligning on processes, and scaling with the right operating model.
Data governance, access controls, red-teaming, compliance baselines.
Prompt patterns, evaluation workflows, structured testing cycles.
Roles, responsibilities, delivery teams, LLM governance committees.
Risk, data, feasibility.
Run controlled experiments.
Integrate models and workflows.
Deploy org-wide with governance.
Assist and automate tier‑1 responses.
Instant answers from private docs.
Improve engineering velocity safely.
Use data classification, sandboxing, and strict access patterns.
A central LLM team plus domain‑aligned pods.
Quality, latency, adoption, and ROI metrics.
Get a tailored framework for your organization.
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