Integration Workflow
An Integration Workflow is a sequence of automated steps that move data, trigger actions, or coordinate state changes across two or more systems — the connective tissue of a modern data stack.
What is Integration Workflow?
Integration Workflows are how heterogeneous stacks pretend to be one system. They tend to combine triggers (something happens in System A), transformations (clean the data, apply business logic), and actions (do something in System B). The discipline is reliability — workflows that work 99% of the time still break the team 1% of the time, and those breaks become silent data quality problems. Modern Integration Workflows use idempotent design, structured logging, and explicit failure handling.
Why it matters
- Removes manual data movement that's the leading cause of stack-wide drift.
- Codifies business logic in version-controllable workflows rather than tribal knowledge.
- Reliable workflows are the foundation for everything built on top — automation, AI, reporting.
Use cases
- CRM-to-warehouse sync. Every deal stage change flows into the warehouse for analytics.
- Lead enrichment pipeline. A new lead triggers waterfall enrichment, then routes to the right rep.
- Slack-driven approvals. Qualification questions ping a Slack channel and write the answer back to CRM.
How turgo helps
turgo's Workflow Builder handles the deterministic integration layer — and agents handle the judgment layer — in one environment, removing the need for separate iPaaS for the workflow tier.
See turgo in action →
