Transition Results

Still running on traditional workflows, this growing logistics company had a 12-person engineering team managing 12 SaaS products, 3 separate CI/CD pipelines running in parallel, and manual deployment processes. Engineering was spending more time maintaining infrastructure than building product. Developer velocity had plateaued despite headcount growth. Pipeline consolidation completed in 2 weeks. SaaS replacement phased over 6 weeks.

Operating on a pre-AI stack, this agricultural technology company had operations spanning field sensors, processing facilities, and distribution networks — running 5 disconnected data systems across field, processing, and distribution. Manual data entry consumed 40+ hours per week across teams, and 12+ hours per week were spent assembling executive reports manually from multiple sources. Manual data entry reduced from 40+ hours/week to under 6.

Still locked into legacy enterprise licensing, this health tech company was paying $350K+ annually across 8 enterprise software licenses covering document management, customer communication, and compliance tracking. Teams were using roughly 20% of features while paying for 100% — tools were feature-rich but structurally oversubscribed. 3 platforms replaced over an 8-week phased migration.

Still operating on pre-AI processes, this national home care franchise with 200+ locations was running on legacy scheduling software, paper-based intake averaging 45 minutes per client, and manual compliance documentation. Each location operated slightly differently, making standardization impossible without significant change management. Intake time reduced from 45 minutes to 12 minutes. Compliance documentation that previously required 2 FTEs now runs autonomously.