Case Study: Integral automates dependency upgrades with Tembo

Integral automates 98% of dependency upgrades with Tembo

Integral, an AI-native tax firm for Germany, faced a challenge common to engineering teams: a growing backlog of dependency upgrades and routine maintenance. This recurring work consumed valuable time that could have been spent building new product features. To address this, Integral turned to Tembo to automate this process.

By implementing Tembo as an infrastructure layer for AI coding agents, Integral automated 98% of its dependency upgrades. The solution turns maintenance into small, reviewable pull requests, which now have a 75-80% merge rate. This allows Integral's engineers to spend less time on upkeep and more time shipping product, fundamentally changing their approach to routine engineering work.

Integral