Case Studies

One Engagement, Measured Properly

We would rather publish one engagement we can evidence than a page of numbers you have no way to check. The client is anonymized. Every figure below comes from the same time-tracking and deployment records we run the business on.

Airport AdvertisingSales Cloud · Data Model & Migration

The Challenge

A US airport advertising company sells inventory across airport locations, and their Salesforce org tracks the locations, the advertising inventory in each one, and the contracts written against it. We had delivered the original data model and profile build in 2024 with three people and no AI assistance. Two years later they needed the follow-on phase: extend the model and migrate the historical data onto it.

Our Solution

We delivered the follow-on phase against the same objects, with Claude in the loop for schema work, deployment, migration and verification. Because we had delivered the first phase ourselves and both engagements were tracked in the same time-tracking system, we could measure the two against each other directly — the same client, the same data model, the same firm.

Sales Cloud
Read the full write-up, including what we are not claiming

Outcomes

4.68×

compression in hands-on build work vs. the 2024 phase (83.00 hrs → 17.75)

297/297

records migrated to the new model with zero failures

15 days

delivery window, down from 42 in the 2024 phase

  • 177 of 177 records reconciled against source with zero mismatches at go-live
  • 17 of 17 schema components deployed; zero errored automation runs

Human hours are a floor: nine days in the 2026 phase had machine activity with no matching timesheet entry, so the true compression is somewhat lower than 4.68×. We publish the figure that flatters us least.

Our Approach

How We Work

Discovery First

Every engagement starts with a thorough discovery phase. We don't touch configuration until we understand your business, your data, and your users.

Right-Sized Scope

We push back on scope that adds cost without proportional value. Phased delivery means you see ROI sooner and can inform later phases with real-world data.

Knowledge Transfer

We don't create dependency. By go-live, your admin understands the system architecture, the design decisions made, and how to manage it going forward.

Most of our work is under NDA and does not get written up. If you want references for a specific kind of engagement, ask on a call and we will put you in touch with the client directly.

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