Smarteeva PMS Reporting

Generate PSURs in 8 minutes instead of hours — data pulled automatically from complaints, investigations, and external sources
AI-integrated LLMs draft report sections, generate trend summaries, and populate templates from live data
Wave scheduling with automated alerts keeps PMS owners and content creators on deadline across your entire product portfolio

Summary

Evermind™ — a fast-growing European SaaS company — was preparing a full platform redesign: new UI, new navigation, new onboarding, and a rebuilt permissions system. But the engineering team was stuck.Their codebase had accumulated years of async drift — un-awaited promises, deeply nested chains, race-condition hazards, and logic that worked “most of the time… except when it didn’t.”

What you will learn

Smarteeva started with a full async map of the codebase — parsing every function, promise chain, and cross-module dependency.The Editor flagged unstable flows, Debug surfaced non-awaited calls and silent failures, and Review mapped where side effects were leaking across boundaries.Patterns emerged quickly:

  • 47% of async handlers returned before their internal operations finished
  • Several “harmless” utility functions introduced hidden parallel execution
  • Error propagation was inconsistent across 6 core services
  • One legacy module triggered three parallel writes without guaranteeing order