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Operations fail in predictable ways—regardless of sector. This is where we’ve seen them repeat.
Legacy core systems stifling digital innovation cycles
Manual approvals, compliance bottlenecks, shadow spreadsheets
Demand planning data disconnected from production reality
Inventory truth split across POS, ERP, and e-com systems
Planning happens in ERP, execution in WhatsApp
Engineering velocity slowed by manual release coordination
Process ownership unclear across admin and care teams
Route optimization data trapped in legacy dispatch tools
Field updates via paper/text not syncing with HQ project management
Maintenance schedules disconnected from asset performance data
Citizen services slowed by inter-agency data silos
Customer provisioning delays due to fragmentation between BSS/OSS
Rights management inputs manual and prone to royalty errors
Lease abstractions and property data managed in disparate Excel files
Resource allocation guesswork due to untracked skill availability
Supplier quality data not integrating with assembly line decisioning
Clinical trial data collection slow, delaying regulatory submission
“We don’t specialize in industries.
We specialize in how work breaks when scale is introduced.”