Case Studies

Systems already running in the field

Two engagements in detail — what the problem was, what we built, and what changed. Client names are withheld where the work touches sensitive operations.

E-Commerce

Optimizing Marketing Campaigns in E-Commerce

The challenge

The marketing team was making budget decisions on a weekly report that was already three days old by the time anyone read it. Audience segments were built once a quarter from assumptions, and new creative ran for weeks before anyone could say whether it worked.

What we built

  • Pulled sales, ad platform, and site behavior data into one place so every number came from the same source.
  • Built audience models from actual purchase behavior and lifetime value rather than demographic buckets.
  • Set up continuous budget reallocation inside limits the team controls, so spend moves daily instead of weekly.
  • Added creative scoring that gives a reliable read within days of launch.

The outcome

Media buyers stopped arguing about which report was right and started making calls the same day the data moved. The reporting work that used to take a person two days a week now runs on its own.

  • Audience modeling
  • Budget reallocation
  • Creative scoring
0MTBD

Decreased technology debt

Public Safety

Transforming Law Enforcement with AI

The challenge

Officers were spending a significant share of every shift writing reports, and the department was rebuilding the same statistics by hand each month for the city. Records lived in systems that didn't talk to each other, so pattern analysis meant somebody reading files.

What we built

  • Streamlined incident intake so structured reports are captured at the point of contact instead of at end of shift.
  • Connected historical records so patterns across time and location surface automatically.
  • Built a real-time operational view for command staff — call volume, response times, and active hot spots.
  • Automated the recurring state, federal, and public-facing reports from records already in the system.

The outcome

The department moved from reactive response toward planning ahead of demand, and the monthly reporting scramble largely disappeared. Everything the system produces stays logged and reviewable.

  • Incident intake
  • Pattern detection
  • Automated reporting
0%TBD

Reporting time removed

Figures marked TBD are placeholders pending verified client numbers.

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