FM Consulting
Selected consulting engagements and delivery-focused case studies.
Programs where execution quality and stakeholder alignment directly influenced business outcomes. Each case demonstrates the same consulting posture: define ownership, prioritize by operational value, and run delivery with transparent governance.
A representative example of our delivery operating model in practice.
Additional projects across software delivery, AI workflow execution, and transformation programs.
A role-based volunteer coordination platform for NGOs — multi-user team accounts, QR-code attendance check-in, and map-based event discovery, delivered end-to-end on Next.js and Supabase.
A self-service account portal for team, plan, and billing management — paired with an internal account-health view that scores churn risk from real usage data, not guesswork.
Brought structure and reliability to a multi-team delivery environment by improving ownership, planning, and stakeholder visibility.
Reduced escalation backlog by introducing a shared triage operating model across support, product, and engineering.
Improved release predictability by standardizing readiness gates, ownership, and cross-team decision flow.
An AI-powered request-routing engine — real semantic search narrows an incoming request to the closest knowledge articles, then Claude judges which one (if any) genuinely resolves it, states an honest confidence score, and suggests the owning team.
A gamified chemistry practice app for high-school students — short adaptive sessions, mistake tracking, and level-locked modules that turn weak spots into strengths.
A cross-functional AI delivery crew — PO, Architect, Frontend, Backend, Security, QA, and DevOps agents — turning a rough feature request into a real, reviewable delivery plan through a dependency-ordered pipeline with a genuine human revision loop.
Re-established delivery momentum by restructuring planning cycles around capacity, dependencies, and outcomes.
A weekly command center for engineering leadership — incident health, DORA delivery metrics, and product usage across teams in one view, with an AI-generated narrative summarizing what actually changed and why it matters.
An AI-powered margin trading system for Kraken Pro — Claude analyzes markets on a five-minute cycle and proposes risk-checked trade signals, guarded by a five-layer safety system before any of them touch real money.
A self-service help center with real full-text search (not AI) — publish Markdown articles, search them by BM25 relevance ranking, and let every zero-result search and helpfulness vote surface exactly which articles are missing or failing.
AI-assisted proposal drafting for consultants — turns a rough client brief into a client-ready statement of work in minutes, then tracks it from draft to signed decision.
A private, invite-only event coordination platform for a closed group — poll-first event planning with real-time collaborative voting, a venue leaderboard, and an installable mobile experience.
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