The execution layer for data and AI workflows

Keep new Stripe customers synced to Salesforce and BigQuery every hour. Make sure we do not create duplicates.

Mage

I've created the workflow and prepared it for review.

  • pull new and updated Stripe customers
  • match them to existing Salesforce accounts
  • write clean records to BigQuery
  • check for duplicates, missing IDs, and failed writes
  • run every hour
  • pause risky writes before they reach production

Before this goes live, you can review the code, schedule, sources, and checks.

Build, manage, run, repair, explore, and reuse production workflows from one AI-native platform.

Go from intent to production

Ask Mage to build, inspect, run, and debug workflows without leaving your workspace.

Move Stripe customer data into BigQuery every weekday before 8am.

Prompt-built workflows. Describe the workflow. Mage turns it into sources, code blocks, dependencies, checks, and schedules.

Why did revenue freshness drop?

The Stripe ingest arrived 42 minutes late, delaying the customer revenue model.

Stripe ingest delayed 42 min

Talk to your data. Ask questions across schemas, outputs, run history, errors, and upstream data.

Customer syncRun delayed
Inspect run
Late source foundRetry availableOpen logs

Workspace actions. Ask Mage to inspect runs, review failures, create resources, or manage workflow changes.

Pipeline
Table
Chart
File
AnswerRevenue freshness dropped after the Stripe ingest arrived late.

Inspectable artifacts. Keep generated pipelines, tables, charts, files, and answers visible as work products.

Run without babysitting

Catch issues, validate every run, and recover workflows before data breaks downstream.

Customer syncInterrupted
Write to BigQuery
Schema change detectedRecovered

Self-healing workflows. Detect failures, diagnose what changed, retry safely, replay history, and recover broken runs.

FreshnessSchemaNulls
customer_context
Validated
writes & rules

Data quality checks. Validate freshness, schema, nulls, duplicates, failed writes, and business rules automatically.

Deliver clean account domains before CRM writes.
41clean records written
2invalid domains blocked

Intent preserved

Intent validation. Check whether the workflow still does what the team intended it to do.

Resource optimization. Tune runtime, memory, concurrency, and infrastructure usage as workloads change.

Turn workflow outputs into trusted context

Make data reusable, validated, and ready for agents, apps, and automations.

account_iddomain1842acme.com1843northstar.io
Workflow outputDaily sync
1,482 rowsComplete
Revenue by account
Business ruleif domain is missingblock CRM write
customer_context
Reusable

Reusable AI context. Turn existing data, workflow outputs, documents, and business logic into context agents can reuse.

customer_context
Investigate revenue drop
Revenue history
Stripe runs1840–1842Current freshness42m late

Scoped access

Support tickets

Intent-aware context. Give agents the right data, permissions, freshness, and scope for each task.

CompleteCurrentTrustedFit
customer_contextReady for use

Context quality. Check whether context is complete, current, trusted, and fit for use before execution.

customer context
Dashboard
API200  { "context": "ready" }
Customer syncRunning

Context activation. Use trusted context across dashboards, APIs, automations, RAG pipelines, and agents.

The foundation underneath every workflow

Environments Build, test, review, and deploy work with the right level of control.

Deploy Promote workflows with visible changes, checks, schedules, and rollback paths.

Schedule Support recurring jobs, event-based work, manual runs, and production routines.

Logs Inspect runs, failures, outputs, and operational history.

Versions Track workflow changes, review details, and roll back when needed.

Access Manage permissions around systems, workflows, environments, and production actions.

Extend Use code, APIs, reusable blocks, and connected services without losing visibility.

Scale Manage more workflows, schedules, runs, and responsibilities without operational chaos.

The layer that turns data and logic into action

Turn existing data into actionable outputs your teams and products need.

Step 1

Connect. Bring in data from databases, warehouses, SaaS tools, files, APIs, streams, dbt projects, and scripts.

Step 2

Execute. Run transformations, checks, orchestration, and AI logic in one workflow.

Step 3

Deliver. Send trusted outputs to dashboards, products, APIs, automations, and agents.

Run the data work behind reporting,
products, operations, and AI

“Keep Salesforce, Stripe, and BigQuery in sync.”
“Turn messy vendor files into a clean dataset.”
“Refresh our warehouse models when new data arrives.”
“Build a connector for this unsupported API.”
“Push clean customer records into our CRM.”
“Tell me when data breaks our business rules.”
“Rank accounts that need attention this week.”
“Update customer-facing dashboards with fresh data.”
“Prepare trusted context for our product agent.”
“Give ops safe access to run approved workflows.”
“Keep Salesforce, Stripe, and BigQuery in sync.”
“Turn messy vendor files into a clean dataset.”
“Refresh our warehouse models when new data arrives.”
“Build a connector for this unsupported API.”
“Push clean customer records into our CRM.”
“Tell me when data breaks our business rules.”
“Rank accounts that need attention this week.”
“Update customer-facing dashboards with fresh data.”
“Prepare trusted context for our product agent.”
“Give ops safe access to run approved workflows.”
“Give ops safe access to run approved workflows.”
“Prepare trusted context for our product agent.”
“Update customer-facing dashboards with fresh data.”
“Rank accounts that need attention this week.”
“Tell me when data breaks our business rules.”
“Push clean customer records into our CRM.”
“Build a connector for this unsupported API.”
“Refresh our warehouse models when new data arrives.”
“Turn messy vendor files into a clean dataset.”
“Keep Salesforce, Stripe, and BigQuery in sync.”
“Give ops safe access to run approved workflows.”
“Prepare trusted context for our product agent.”
“Update customer-facing dashboards with fresh data.”
“Rank accounts that need attention this week.”
“Tell me when data breaks our business rules.”
“Push clean customer records into our CRM.”
“Build a connector for this unsupported API.”
“Refresh our warehouse models when new data arrives.”
“Turn messy vendor files into a clean dataset.”
“Keep Salesforce, Stripe, and BigQuery in sync.”