Premal Jhaveri

The connective tissue between leadership strategy, hands-on delivery, and team training. Core expertise: - AI Enablement — Design and roll out Claude and Claude Code adoption programs with repo-level context files and hierarchical guardrail systems that standardize output quality across teams - Automated Code Review — LLM-as-a-Judge first-pass review with closing feedback loops so AI never repeats the same architectural mistake - Delivery Process Redesign — AI-augmented teams on a compressed one-week Micro-Waterfall cycle with Spec-Driven Development - AI Readiness Audits — Applying the "Automation Floor" model (test coverage, CI/CD, observability, one-click rollback) as a precondition for safe, high-velocity AI delivery - Enablement & Training — Hands-on workshops and reusable curricula for engineers and non-engineers on practical AI use Notable results: - Fashion-Tech client: 80% delivery-velocity gain — shipping major features every two weeks vs. every two months — by introducing Claude-based enablement and raising automated test coverage to 90%+ - CCM client: Built agentic solutions for automated document updating with guardrails and evals framework for compliant, production-safe output Author of "Zero-Fluff AI" — pragmatic, widely-referenced frameworks for enterprise AI rollout.