Workflow orchestration
Run and manage multi-step workflow logic with clear execution flow and workspace context.
TaskyHub helps technical teams build and operate multi-tenant automation with workspace-scoped credentials, reusable workflow assets, analytics, agentic workflow steps, voice-ready flows, and a clear separation between control-plane UX and runtime engine behavior.
TaskyHub focuses on the parts that matter in production: orchestration, integration control, saved data, execution visibility, and role-aware operations in a developer-friendly SaaS platform.
Run and manage multi-step workflow logic with clear execution flow and workspace context.
Use AI-backed steps for classification, routing, generation, and decision support inside workflows.
Store OAuth credentials, API keys, and provider-specific settings per workspace instead of globally.
Reuse links, snippets, and endpoint definitions across builders and runtime operations.
Inspect execution history, failures, AI activity, analytics, and usage patterns from one surface.
Separate platform admin, workspace admin, and builder responsibilities without losing flexibility.
Support voice-driven entry points, conversational routing, and downstream automation steps.
Feed workflows with saved knowledge, retrieval results, and contextual data for grounded automation.
TaskyHub is built for multi-tenant teams that need integrations, orchestration, analytics, and operational confidence rather than a one-off internal workflow toy.
Connect providers, validate workspace-scoped credentials, and safely activate automation for each customer environment.
Capture inbound data, classify it with agentic workflow steps, and route by intent, urgency, or ownership.
Replace repetitive manual handoffs with reusable data, saved endpoints, and trackable execution paths.
Start workflows from voice inputs, route transcripts into AI actions, and push results into workspace systems.
Retrieve saved knowledge and workspace data to ground generated actions and customer-facing responses.
Watch run health, AI usage, retrieval activity, and workspace performance from one operational surface.
TaskyHub surfaces operational metrics so teams can understand what is running, where it is failing, how AI is being used, and which workspaces need attention.
Sample metrics shown for illustration only.
The Web UI and API act as the control plane for configuration and permissions, while the workflow engine and connected AI, voice, RAG, and provider systems handle execution.
Operators manage workspaces, integrations, saved data, workflows, and run visibility.
The API validates auth, resolves workspace scope, and proxies orchestration requests safely.
The engine executes workflow steps, agentic actions, analytics capture, and provider-specific runtime logic.
External systems such as Google OAuth, OpenAI, voice endpoints, RAG sources, webhooks, and internal APIs connect per workspace.
Use the main app to configure workspaces, connect integrations, build workflows, and inspect runtime operations. The site here is a lightweight public entry point into the TaskyHub platform.