AI agent workflow platform
Turn AI answers intoaccountable action
Connect data, AI analysis, decisions, human approval and delivery in one observable workflow.
Done in 13m36s · usage and cost on the record
One flow from orchestration to delivery
Every step has inputs, outputs and a visible execution state. The visual editor keeps triggers, AI steps, conditions and approval gates in one reviewable definition.
Browse all services- 01Scheduled triggerORCHESTRATE
- 02Retrieve business dataTRIGGER
- 03AI analysisCONTROL
- 04Human approvalDELIVER
Core capabilities
See how the workflow becomes operational
The visual editor keeps triggers, AI steps, conditions and approval gates in one reviewable definition.
Product proof
- 01Visual canvas and YAML definition
- 02Execution history and step output
- 03Reusable modules and templates
The operational gap
A chatbot cannot finish the job
Teams need AI to act inside real processes without losing control.
Disconnected experiments
Prompts and model outputs still need someone to move data between systems.
No safe handoff
Important actions need review, context and a clear owner before execution.
Hard to repeat
One-off chats do not create a scheduled, reusable or auditable operating process.
Core capabilities
Orchestrate intelligence and action
Multi-step AI flows
Combine AI, code, data transformations and reusable modules on one canvas.
Schedule and events
Start manually, on a schedule, through a webhook or from another workflow.
Branches and approval
Route outcomes by conditions and pause critical changes for a human decision.
Reports and delivery
Create artifacts and send results through configured delivery modules.
How it runs
A daily analysis that can act responsibly
Every step has inputs, outputs and a visible execution state.
- ✓Visual canvas and YAML definition
- ✓Execution history and step output
- ✓Reusable modules and templates
- 01Scheduled triggerORCHESTRATECompleted
- 02Retrieve business dataTRIGGERCompleted
- 03AI analysisCONTROLRunning
- 04Human approvalDELIVERCompleted
- 05Deliver reportORCHESTRATECompleted
Verified product scenario
Designed for real operating work
Teams need AI to act inside real processes without losing control.
Multi-step AI flows
Combine AI, code, data transformations and reusable modules on one canvas.
ORCHESTRATESchedule and events
Start manually, on a schedule, through a webhook or from another workflow.
TRIGGERBranches and approval
Route outcomes by conditions and pause critical changes for a human decision.
CONTROLThe operational gap
Move from manual gaps to an accountable flow
Product proof
Inspect the workflow, not just the final answer
The visual editor keeps triggers, AI steps, conditions and approval gates in one reviewable definition.
- 01Visual canvas and YAML definition
- 02Execution history and step output
- 03Reusable modules and templates

Daily metric analysis and Japanese summary
A scheduled workflow reads operating data, identifies metric changes, drafts a Japanese summary and routes the result to an approval step before delivery.
Before: analysts repeat collection, comparison and summary work.
After: the workflow prepares the review package; a person remains responsible for release.
Start on the free tier
Free includes 5 workflows and unlimited AI assistant use (model costs use your credentials); upgrade to Pro for schedules, webhooks, and all 8 step types.
- 40 regular model requests per day
- AI Assistant
- 5 workflows
- 3 basic step types
- No credit card required
- Unlimited regular model requests
- Access to advanced models
- 50 workflows
- All 8 step types
- AI assistant + debugger
- Unlimited regular model requests
- Access to advanced models
- 200 workflows
- Includes 1 team seat
- Team management and collaboration
- Additional seats $9.9/seat/month
- Unlimited regular model requests
- Access to advanced models
- Unlimited workflows and steps
- Includes 1 team seat
- Team management and collaboration
- Additional seats $19.9/seat/month
- Audit logs and compliance
- SSO / SAML
FAQ
Questions, answered
AI agent workflow platform
Build the first AI workflow your team can trust
Start with sample data, inspect every step and keep a person at the decision point.




