A healthcare media and events company came to Wallabi requesting a simple email automation workflow.
Through iterative discovery, the real problem emerged: data was dirty, scattered across disconnected systems, and highly duplicative. The company had no unified concept of a "person" or "company" in their data architecture. Without a coherent data foundation, any workflow built on top would be unreliable, and their audience engagement and event recruitment strategy had no data bedrock to operate from.
Wallabi scrapped the original scope and rebuilt the client's entire data architecture from the ground up, Snowflake, dbt, Fivetran, and the Wallabi platform, with Claude Code writing approximately 99% of all code and documentation, deploying nearly 140 independent data models in six weeks.
A data infrastructure project that would typically take six to nine months in traditional development was completed in eight weeks, with approximately 140 data models rolled out, all powered by Claude Code writing nearly all code and documentation.
Business teams that previously waited weeks for a single data report now have real-time access. The client gained an instantaneous view of their data and operational metrics, a capability they had never had before.
The project directly contributed to the company's board narrative for 2026 growth, enabling them to target new audiences and recalibrate their entire brand strategy. The CEO had not anticipated needing this level of strategic visibility, it emerged as a consequence of having clean, structured data.
- How a Custom Manufacturer Reclaimed $500K of Exec TimeStalliant · Manufacturing & Industrial
- How a Mid-Market CFO Halved Board Reporting TimeEventus Advisory Group · Financial Services
- How One Manufacturer Cut Diligence Waits 80% With AIScaylor · Manufacturing & Industrial
- How A Preschool Operator Lifted Labor Productivity 50%SaxeCap · Education & EdTech