Workflow Automation

Streamline operations and eliminate manual tasks with intelligent, scalable workflow automation that executes backend processes, responds to events, and adapts to your business logic in real time.

What Is Workflow Automation?

Workflow automation is the process of designing and executing logic-driven flows that can perform backend operations without constant human intervention. These workflows consist of modular actions - such as triggering an API, processing data, or making decisions - that run based on specific conditions or events.

The workflow engine is built to be secure, flexible, and reliable. Whether you're connecting different systems, handling data, or automating everyday tasks, it adapts to your needs and grows with your business.

Workflow Automation

Workflow Engine

Parallel & sequential execution, full traceability, resilient by design

The workflow engine orchestrates complex backend automations with precision. It can run nodes in parallel or sequentially, captures a detailed execution log/trace for every run, gracefully handles errors, and exposes a clean, API‑first surface for triggering and inspecting workflows programmatically.

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Execution Model

Workflows support both sequential and parallel execution, allowing tasks to run in order or simultaneously based on your logic. Built-in conditional branching enables intelligent data-driven decisions, making your automation flows highly adaptive and efficient.

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Observability & Logs

Every node records inputs, outputs, timestamps, and duration. A per‑run runId plus node‑level tracing makes debugging and auditing straightforward.

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Error Handling & Resilience

Structured errors, safe client messages, optional retries, and fallback paths ensure that one bad item never takes the whole run down.

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Input & Output Mapping

Node parameters are dynamically handled using a custom template language. This allows referencing previous node outputs (e.g. {{nodeId.field}}) and injecting fallback values or dynamic expressions without writing extra logic.

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API

Workflows can be created, edited, triggered, and monitored entirely via a REST/HTTP API (or SDK/CLI), giving developers full programmatic control over automation. Whether you're triggering flows (manually, on a schedule, or in response to events), passing dynamic inputs, or retrieving execution logs and traces-our API makes it seamless to integrate workflows into any system.

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Secure & Extensible

Credentials are injected securely at runtime and are strongly encrypted during transmission and storage. Nodes can also attach to custom storage backends (e.g., Postgres, Redis, S3) for persistence, isolation, and idempotency.

Workflow Triggers

Different ways to initiate workflows

Workflows can be initiated in various ways, allowing you to automate tasks based on your specific requirements. Here are the main trigger types we support:

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Manual

Execute workflows instantly on demand through a user interface, CLI command, or API call. This gives teams direct control and flexibility when automation isn’t continuously needed.

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Scheduled

Automatically initiate flows at predefined intervals using cron expressions or similar time-based rules - perfect for routine checks, reports, or recurring background jobs.

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Event-Driven

Trigger workflows dynamically in response to real-time events from external systems. Use webhooks, message queues, or app signals to create fully reactive and integrated processes.

Workflow Nodes

Building blocks of your automation logic

Each workflow consists of modular nodes that perform specific actions. These nodes can be combined to create complex workflows that automate your backend processes. Here are the main types of nodes we support:

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API & Service Calls

Enable your workflows to communicate with external services through RESTful APIs or internal endpoints. This is useful for pushing data to CRMs, triggering third-party systems, sending notifications, or retrieving real-time information from integrated platforms.

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Data Processing

Clean, transform, enrich, or reshape incoming data as it moves through your workflow. Ideal for parsing structured content (like JSON), formatting messages, validating input, or mapping between systems before execution or storage.

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Logic & Branching

Introduce dynamic behavior in your flows by evaluating conditions and branching accordingly. This enables intelligent routing - such as checking if data is valid, whether a record already exists, or deciding which service to trigger next.

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Error Handling

Build resilient workflows with error detection, automatic retries, timeouts, and fallback paths. This ensures that transient issues (e.g. failed API calls or missing input) don’t cause system-wide failures or lost data.

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AI

Integrate AI models directly into workflows. These nodes enhance automation with summaries, categorization, translation, and intelligent text generation based on your input.

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Node Definition

Every node is described using a standardized definition object. This definition outlines expected inputs, outputs, configuration parameters, and credentials - making integration with the Workflow API clean, validated, and developer-friendly.

Example of a chatGPT prompt node definition

This file defines the schema, configuration, and metadata for the OpenAI ChatGPT prompt node. It includes input validation, output structure, and credentials management. The definition file is used to describe the node's behavior and integration with the workflow system.

Each node in the system is defined with a similar schema.

Workflow Use Cases

Real-world automation powered by workflows

The workflow system supports a wide range of automation scenarios. Whether you're streamlining internal ops, integrating systems, or handling complex data, these use cases show how flexible and powerful workflows can be.

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Backend Ops

Automate background tasks like log rotation, temp file cleanup, backup syncing, or regular report generation. Keep your systems clean and consistent with minimal manual intervention.

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Integrations

Seamlessly connect third-party tools and internal platforms. From syncing data with CRMs or ERPs to triggering messages in Slack or submitting forms to Notion, integration flows simplify cross-system communication.

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Data Pipelines

Move, transform, and validate data between storage systems, APIs, or databases. Perfect for ETL tasks, reporting pipelines, or syncing analytics-ready datasets across services.

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Dev Productivity

Automate CI/CD steps, code linting, test execution, and deployment orchestration. Developers can spend more time writing features while workflows handle routine development operations.

Example of a scheduled & manual email processing workflow JSON definition

This workflow demonstrates how incoming emails can be automatically processed, with key data extracted, evaluated, and routed based on specific conditions. It supports both scheduled and manual execution.

Workflows can be fully defined using a JSON object or programmatically via the provided API.

Trigger
Initiates every minute via cron or manually on demand.
Step 1
Connects to an IMAP inbox to fetch new emails.
Step 2
Extracts essential fields from each email such as subject, messageId, and body text.
Step 3
Attempts to insert a unique entry in the database using messageId to prevent duplicates.
Step 4
Evaluates whether the email is new based on the DB insert result.
Step 5a (New)
Sends content to OpenAI for summarization, then forwards to an external API.
Step 5b (Duplicate)
Terminates the flow with no further action.

Key Features & Benefits

Principles that make our platform robust and developer-friendly

The workflow automation system is engineered to efficiently run tasks with a focus on performance, security, and flexibility. Below are the core principles that make our platform scalable and developer-friendly.

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Modular Architecture

Design flows using self-contained, reusable nodes. Each component is isolated and configurable, making it easy to maintain, test, and evolve over time.

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Secure Execution

All secrets and credentials are encrypted and injected at runtime.

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Resilience

Flows are built to withstand failure. Built-in retry logic, fallback paths, and idempotent operations help maintain system integrity under stress.

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Scalability

Supports containerized deployments with horizontal scaling using Docker or Kubernetes. Ideal for growing workloads and microservice-based systems.

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Observability

Track execution, monitor performance, and debug issues through visual dashboards, real-time logs, and node-level tracing for every workflow run.

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