Workflow Automation
What is Workflow Automation?
Workflow Automation predates AI agents by decades. A workflow has a trigger (something happens), conditions (rules to check), and actions (things to do). Tools like Zapier, Make, and Workato made workflow automation accessible without engineering. Modern Workflow Automation for GTM teams typically connects CRM, marketing automation, data sources, and communication tools — moving data between them, enforcing process rules, and notifying humans when needed. The limitation: workflows execute exactly what you script. They don't reason about context the way an AI agent does — they just follow rules.
Why it matters
- Removes repetitive manual work that adds no value.
- Documented workflows make processes reproducible and auditable.
- Foundation layer agents build on top of — workflows handle deterministic steps.
Use cases
- Lead routing. Form submission triggers a workflow that enriches, scores, and assigns to the right AE.
- Data sync. Workflow keeps CRM and marketing automation in lockstep on contact and deal updates.
- Alert and escalation. Workflow notifies the right person when a key signal fires.
How turgo helps
turgo's Workflow Builder handles the deterministic layer — data routing, sync, alerts — while AI agents handle the reasoning layer. Combined, they cover both deterministic and judgment work.
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