Forsch Frontiers

The Coordination Layer

By Zach Forsch, with 15+ years in support across frontline, escalation, and team leadership roles.

A twice-monthly briefing for support and operations leaders putting AI to work in real queues. I share successful and failed experiments, the data behind them, and field notes without the filler.

Join me as I build the playbook for support-driven cross-functional decisions.

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Unified Support TimelineUnified source of truth for all support activity in timeline format

Every day your customers, your team, your business gives you signals.

Most of it is noise...

But it's the difference between a renewal and a cancellation; between a 15-minute reply and a 2-day silence; between a team barely staying afloat and a team that turns support into a launchpad.

Most of it is noise...

But it's the difference

between a renewal and a cancellation; between a 15-minute reply and a 2-day silence; between a team barely staying afloat and a team that turns support into a launchpad.

This is the one that holds. Everything else keeps streaming past.

Still in the queue, still testing this.

98.6% CSAT · 90% faster response · an 18-person team’s scorecards

Personal operating history: 15+ years of support, including 9+ in leadership, 5+ in T1 and frontline roles, and 2+ in T2 and escalations. Current build log: 2,260 commits in 2026 (~20 a day), 830M+ tokens in a single month, 20+ models across 7+ providers, and 9 AI agents in production, 24/7.

The receipts: 91,000+ Tickets personally resolved; 80%+ CSAT Sustained across 4 companies; 98.6% Peak quarterly CSAT; 18 Largest team managed; 32% Chat volume deflected via AI; 80% Faster bug-to-engineering escalation; NPS 60+ Sustained; 90% First-response time reduction. Built across experiments in Escalation Gates, Memory Atomization, Daily Queue Risk Score, Unified Support Timeline, Custom MCP, Training & Onboarding, Test Harness.

Twice a month, The Coordination Layer lands in your inbox.

Every signal, caught.

The public Prompt Pack and twice-monthly field notes for support teams turning ticket noise into product context.