Workspace-scoped integrations
Store client IDs, API keys, webhooks, tokens, and provider settings per workspace.
- Google OAuth and API-key based providers
- Active/inactive provider controls
- Connection testing before activation
Platform
Workflow orchestration from Prompt → Canvas to production.
TaskyHub is an AI workflow automation platform: describe workflows in plain English, refine on the canvas workflow builder, run with workspace-scoped integrations, and monitor with integrated hub analytics.
Secrets and credential profiles
Support encrypted secret storage and reusable credential references for builders and operators.
- Masked secret hints in admin views
- Workspace-level credential ownership
- Profile sync for supported providers
AI workflow generation
Generate workflow definitions and use model providers inside automation steps.
- Prompt-driven workflow creation
- Provider-backed AI nodes
- Saved data and endpoints inside flows
Runs and analytics
Track execution health, recent runs, usage, and AI consumption from the same app.
- Per-workspace usage views
- AI usage reporting
- Run drill-down and status history
Saved data and endpoints
Persist reusable links, text, and endpoint definitions that builders can reference in Canvas.
- Plain text or URL storage
- Endpoint usage insight
- Reusable workspace-level references
Role-aware operations
Expose the right controls to platform admins, customer admins, workflow developers, and support users.
- Workspace-level permissions
- Restricted admin-only settings
- Tenant-safe operational controls
Delivery model
One product, many customer workspaces.
The platform is being built for multi-tenant SaaS delivery. That means integration settings, saved data, provider state, and access control must stay workspace-aware while shared infrastructure such as canonical OAuth callbacks remains stable.