Developer-oriented SaaS workflow automation

Analytics-rich automation for AI, voice, RAG, and workspace-aware orchestration.

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.

Analytics AI agents Voice flows RAG retrieval
Control plane Keep credentials, provider state, and operational data isolated per workspace.
AI + RAG Run agentic workflows with retrieval-aware knowledge, generated actions, and reusable data.
Voice + analytics Track voice sessions, workflow runs, usage patterns, and system health without jumping between tools.
Features

Reliable workflow operations across AI, voice, analytics, and integrations.

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.

Workflow orchestration

Run and manage multi-step workflow logic with clear execution flow and workspace context.

Agentic actions

Use AI-backed steps for classification, routing, generation, and decision support inside workflows.

Workspace-scoped integrations

Store OAuth credentials, API keys, and provider-specific settings per workspace instead of globally.

Saved data and endpoints

Reuse links, snippets, and endpoint definitions across builders and runtime operations.

Runs and usage visibility

Inspect execution history, failures, AI activity, analytics, and usage patterns from one surface.

Role-aware controls

Separate platform admin, workspace admin, and builder responsibilities without losing flexibility.

Voice-ready workflows

Support voice-driven entry points, conversational routing, and downstream automation steps.

RAG and knowledge retrieval

Feed workflows with saved knowledge, retrieval results, and contextual data for grounded automation.

Use Cases

Designed for teams operating real workflow infrastructure.

TaskyHub is built for multi-tenant teams that need integrations, orchestration, analytics, and operational confidence rather than a one-off internal workflow toy.

Customer workspace onboarding

Connect providers, validate workspace-scoped credentials, and safely activate automation for each customer environment.

Support and event routing

Capture inbound data, classify it with agentic workflow steps, and route by intent, urgency, or ownership.

Internal operations automation

Replace repetitive manual handoffs with reusable data, saved endpoints, and trackable execution paths.

Voice-based workflow entry

Start workflows from voice inputs, route transcripts into AI actions, and push results into workspace systems.

RAG-powered assistants

Retrieve saved knowledge and workspace data to ground generated actions and customer-facing responses.

Analytics and reliability ops

Watch run health, AI usage, retrieval activity, and workspace performance from one operational surface.

Analytics

Observability is part of the product experience.

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.

Workflows executed
18.4k
Processed across active workspaces this week.
AI actions
5.2k
Model-backed workflow decisions and generated steps.
Voice sessions
684
Illustrative voice-triggered or voice-assisted workflow sessions.
RAG retrievals
11.3k
Knowledge fetches used to ground assistant and workflow behavior.
Workspaces
42
Customer environments with isolated provider state.
Success rate
98.4%
End-to-end runs completed without manual retry.
Avg. run time
1.9s
Illustrative execution latency for common workflow paths.

Sample metrics shown for illustration only.

Architecture Overview

Simple control-plane to execution-plane flow.

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.

Web app

Operators manage workspaces, integrations, saved data, workflows, and run visibility.

API layer

The API validates auth, resolves workspace scope, and proxies orchestration requests safely.

Workflow engine

The engine executes workflow steps, agentic actions, analytics capture, and provider-specific runtime logic.

Integrations

External systems such as Google OAuth, OpenAI, voice endpoints, RAG sources, webhooks, and internal APIs connect per workspace.

High-level flow: Web UI -> API -> Workflow Engine -> AI / Voice / RAG / Integrations
Get started

Run the product, not just the marketing page.

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.