What is Workflow?
A sequence of connected steps that automate a process. Workflows in AirOps can include AI actions, data transformations, conditional logic, and integrations with external services, enabling complex automation without code.
Think of it this way
"A workflow is like a recipe in a cookbook—it lists each step in order, tells you what ingredients (data) to use, and guides you from raw inputs to a finished dish. Follow the recipe, get consistent results every time."
Example
A lead enrichment workflow that takes a company name and returns detailed firmographic data.
Marketer Use Cases
Automated blog publishing workflow: brief → AI draft → SEO optimization → human review → CMS publish via Webflow or WordPress
Content enrichment workflow that takes a topic, researches via web scraping, generates a structured outline, and creates a full article
Product description workflow that pulls data from Shopify, generates optimized descriptions, and publishes back to your store
Key Concepts
Sequential Execution
Workflows execute steps in a defined order, with each step's output potentially feeding into the next step as input.
Conditional Logic
Branch workflows based on conditions—route data differently based on values, handle errors gracefully, or skip steps when not needed.
Data Transformation
Transform data between steps using built-in functions, custom code, or AI-powered transformations.
Error Handling
Define how workflows respond to failures—retry, skip, alert, or route to alternative paths.
Benefits
- •Eliminate repetitive manual tasks that consume team time
- •Ensure consistency by standardizing processes across the organization
- •Scale operations without proportionally increasing headcount
- •Connect disparate systems into unified, automated processes
Workflow vs Agent
Workflows follow a predetermined path with defined steps, while agents can dynamically decide their next action. Use workflows for predictable, repeatable processes; use agents when tasks require reasoning or adaptation.
Tools & Technologies
Challenges & Solutions
Challenge: Workflow complexity grows over time
Solution: Break large workflows into smaller, reusable sub-workflows; document the purpose of each step
Challenge: Handling edge cases
Solution: Implement comprehensive error handling and logging; test with diverse real-world data
Challenge: Maintaining data quality
Solution: Add validation steps to check data quality; implement alerts for anomalies
Frequently Asked Questions
Can workflows include AI-powered steps?
Yes, AirOps workflows can include AI actions like text generation, classification, extraction, and summarization alongside traditional automation steps.
How do I trigger a workflow?
Workflows can be triggered manually, via API, on a schedule, through webhooks, or in response to events in connected applications.
What happens if a workflow step fails?
You can configure error handling per step—retry automatically, skip and continue, halt execution, or route to an error-handling branch.