Introducing the Org App Store - Enabling Composable EnterprisesLearn more

Workflows

Aggregate, transform, and combine enterprise-scale data across your connected services to power sophisticated data-driven applications.

Workflows Guide

Agent Defined Workflow Orchestration

Agents can generate deterministic workflows for complex, multi-step processes across your services, data, and apps. Triggered by AI chat agents, in-app actions, or run on a schedule, to power data-powered apps or complex multi-step operations.

Every Service is a Step

Workflow steps connect to any data provider: CRMs, databases, e-commerce platforms, APIs. Pull, join, and transform data across all of them in a single pipeline.

Embedded Compute

Run SQL transformations on enterprise-scale datasets without spinning up a separate warehouse. Filter, aggregate, and join millions of rows inside the platform.

AI Agents as Operators

AI agents build pipelines step by step, submit jobs, monitor progress, and query results. Complex ad hoc requests are handled autonomously.

Self-Healing by Default

Failed steps checkpoint and resume automatically. The platform recovers orphaned jobs, cleans up stale state, and picks up exactly where it left off.

Every Service is a Step

Workflow steps connect to any data provider: CRMs, databases, e-commerce platforms, APIs. Pull, join, and transform data across all of them in a single pipeline.

Embedded Compute

Run SQL transformations on enterprise-scale datasets without spinning up a separate warehouse. Filter, aggregate, and join millions of rows inside the platform.

AI Agents as Operators

AI agents build pipelines step by step, submit jobs, monitor progress, and query results. Complex ad hoc requests are handled autonomously.

Self-Healing by Default

Failed steps checkpoint and resume automatically. The platform recovers orphaned jobs, cleans up stale state, and picks up exactly where it left off.

Enterprise-Scale Data

Data Pipelines for Millions of Records

Join, filter, and transform data from multiple services and providers at enterprise scale. Results are persisted so your apps and AI agents can query them anytime. No context limits, no data caps.

Zero-Config, Production-Grade

Enterprise Reliability, Zero Operations

Learn More

DAG Execution

Define workflows as multi-step graphs with branching, parallelism, and error handling. The engine resolves dependencies and runs steps in the right order.

Checkpoint and Resume

Every job checkpoints progress automatically. Pick up from the last successful step after timeouts, failures, or interruptions.

Automatic Parallelism

Independent steps run concurrently. Iteration steps fan out across paginated service results for maximum throughput.

Full Observability

Logs, status, and metrics for every step in every job. See exactly what ran, what failed, and why, without bolting on a monitoring tool.

Serverless-Ready

Run the same workflow definitions on a desktop or in a cloud function. The platform handles timeouts and automatic continuation across environments.

Iterative Draft System

Agents build workflows incrementally, adding steps, validating, and reordering before submitting or scheduling. A natural fit for how AI reasons through complex tasks.