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>Case Studies

Results, Not Promises

Every case study follows the same structure: the operation before, the architectural decisions, the implementation, and the measurable results after. We show the architecture, not just the outcome. We name the tradeoffs, not just the wins.

AutomationEnterprise Software2 weeks

From XLOOKUP to Semantic Matching

How a field marketing team reclaimed 20+ hours per month by replacing manual account matching with AI.

Challenge

The field marketing team ran 8-12 events per quarter across Europe. After each event, an analyst spent 4+ hours matching attendee lists against a Salesforce target account list of 10,000+ companies. T...

Approach

Built a semantic matching engine powered by Claude AI (Sonnet). The system accepts two CSV files, lets the user map columns through a visual interface, then runs parallel batch matching. Instead of ex...

Results

Processing time dropped from 4+ hours to under 90 seconds per event. Match accuracy increased from approximately 70% to 99.2%. The field marketing team reclaimed 20+ hours per month. The system handle...

4 hrs to 90 sec
Processing Time
70% to 99.2%
Match Accuracy
20+
Monthly Hours Saved
DE, EN, FR, NL
Languages Handled

> Aggregate Results

99.2%
Highest match accuracy
12
Languages automated simultaneously
EUR 0
Additional software cost (intelligence system)
90 sec
Fastest processing (from 4 hours)

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