Case Study

AI/ML Automation Freed Millions in Analyst Time

How one finance team freed up millions in analyst capacity by automating 80% of manual workflows.

 

 

The Challenge

  • Finance team skeptical of AI/ML, viewing analysis as more “art than science”
  • Hundreds burdened by manual prep and inconsistent spreadsheet practices
  • EVP of Finance unconvinced despite prior tech-led wins
  • Resistance rooted in deep domain norms and legacy tooling
  • Disparate data architecture blocked predictive analytics potential

The Solution

  • Facilitated peer-led workshops with finance leaders who had successfully adopted AI/ML
  • Consolidated thousands of spreadsheets into a dozen dynamic templates
  • Introduced time-stamped sales data to enable trend analysis and modeling
  • Migrated on-prem systems to the cloud to unlock AI/ML capabilities
  • Ran AI-powered forecasts in parallel with manual models to build trust and drive adoption

The Outcome

  • 80% reduction in time spent on repetitive data prep
  • Forecast accuracy improved by 5% over manual methods
  • Analysts reallocated to high-impact consulting and partnership roles
  • Millions in unlocked capacity through productivity gains
  • Secured buy-in from senior finance leadership to scale AI/ML use

See How Much Analyst Capacity You Could Unlock

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