KiteForge Stabilizes Cloud Launches
Release work moved from reactive alerts to a reliability command center.
- 43% fewer incidents
- 2x faster releases
Case Studies
What changes when operations get a command center.
Representative stories showing how Zypher connects workflows, cloud systems, and decision data into measurable operating improvements.
Featured Stories
Atlas Freight Finds Live Signals
Leadership moved from stale reporting to weekly decision intelligence.
- 31% faster decisions
- 18 reports automated
NorthPeak Automates Approvals
Critical approvals moved from inbox chaos to AI-assisted review queues.
- 120h saved monthly
- 4 weeks to launch
Story Details
Each engagement starts with one operational bottleneck and expands only after the system proves useful.
Cloud Reliability
KiteForge
Problem: releases were slowed by unclear alert ownership, manual readiness checks, and recurring deployment incidents.
- Mapped service ownership and deployment risks
- Built release readiness signals into the command center
- Created incident handoff runbooks and escalation paths
Decision Intelligence
Atlas Freight
Problem: leaders relied on stale spreadsheet reports that could not explain live operational movement.
- Connected source systems into a weekly metrics layer
- Automated executive summaries and anomaly notes
- Standardized KPI ownership across operations and finance
Workflow AI
NorthPeak Health
Problem: approval work moved through inboxes without consistent review rules, status visibility, or audit context.
- Designed AI triage rules for approval requests
- Added human review thresholds for sensitive actions
- Delivered action logs and launch adoption metrics
What Changed
"We stopped asking where work was stuck. The queue made ownership visible."
Operations Lead
"The most useful part was not the AI. It was the review model around it."
Product Director
"Our weekly metrics finally matched the way the business actually runs."