AI workflow automation platform

From prompt to canvas in minutes.

Build workflows, integrations, and AI-powered automation from plain English.

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Platform

From prompt to production—one workflow orchestration pipeline.

TaskyHub is a canvas workflow builder and Prompt to Workflow platform: describe automation in plain English, refine on the canvas, execute through the workflow engine, connect integrations per workspace, and monitor everything with integrated hub analytics.

Prompt Plain-English workflow intent
Canvas Visual orchestration & edits
Workflow engine Runtime execution & steps
Integrations Workspace-scoped connectivity
Analytics Runs, reliability & usage

See full platform capabilities →

Hub analytics

Integrated workflow analytics—not a bolt-on dashboard.

Monitor workflow success rates, error hotspots, performance metrics, and usage trends from the same multi-tenant workflow platform you use to build and run automations. No separate observability stack required.

Workspace analytics
Acme Ops Healthy
Last 7 days · Refreshed 2 min ago · 847 runs
847
+12%
▶
Total runs
91.3%
+2.1%
✓
Success rate
2.4s
−0.3s
⏱
Median latency
74
−8
!
Failed runs

Runs per day

Daily executions · usage trends

Peak Thu · 142 runs

Error hotspots

Top workflows by failure volume

91.3% success
  1. Order sync214
  2. Lead enrich186
  3. Slack digest142
  4. Prompt → HTTP98

Representative workspace data—sign in to view live metrics, SLA trends, and run drill-down.

Capabilities

Everything you need to build, connect, operate, and extend AI workflows.

TaskyHub covers the full agentic AI automation lifecycle—from Prompt to Workflow through canvas orchestration, integrations, and monitoring—without stitching together separate tools.

Workflow Builder

Prompt → Workflow

Prompt to Workflow builder: describe triggers and steps in plain English—AI drafts agentic flows or maps HTTP and transform steps to nodes.

Canvas orchestration

Canvas workflow builder for branches, HTTP, transforms, and multi-step logic with clear execution paths.

Agentic AI steps

Native AI nodes for classification, routing, generation, and agentic AI automation inside workflows.

Integrations

OAuth connections

Google, Slack, and provider OAuth scoped per workspace—not global ad hoc credentials.

APIs & endpoints

HTTP triggers, webhooks, and REST calls with workspace context and guardrails.

Saved data

Reuse links, snippets, and structured data across builders and runtime operations.

Operations

Hub analytics

Workflow success rates, failure trends, latency, and usage from integrated hub analytics.

Multi-tenant roles

Multi-tenant workflow platform controls: platform admin, workspace admin, and builder roles.

Monitoring & alerts

Track run health, inspect failures, and route operational signals from the hub.

AI

Voice workflows

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

RAG workflow automation

Retrieval-augmented knowledge feeds grounded actions and customer-facing responses.

AI actions

Model-backed AI nodes wired into the canvas—not bolt-on scripts or external orchestrators.

Solutions

Built for teams who ship and operate workflow automation.

Pick the persona that matches your team—each path uses the same Prompt → Workflow, canvas, and analytics stack.

Product teams

Ship automations faster

Build and deploy automations faster using Prompt → Workflow and canvas orchestration—without waiting on a dedicated integration team for every flow.

Operations teams

Monitor workflow health

Monitor workflow health, SLAs, and execution across environments with integrated hub analytics and run drill-down.

Customer success

Automate customer journeys

Automate onboarding, renewals, and support routing with AI workflows connected to your CRM and messaging tools.

AI / platform teams

Deploy agentic workflows safely

Deploy agentic and RAG-powered workflows with observability, workspace guardrails, and multi-tenant isolation.

Explore all solutions → See examples →

Architecture

Control plane meets execution plane—at a glance.

A multi-tenant workflow platform architecture: the web UI and API configure permissions and workspace scope; the workflow engine runs steps with native AI, voice, RAG, and integration services.

Canvas + hub

Builders use Prompt → Workflow and the canvas; operators monitor runs and integrations from the hub.

Workspace isolation

Credentials, data, and workflows stay scoped per workspace in a multi-tenant control plane.

Execution runtime

The engine executes agentic steps, captures analytics, and calls provider-specific logic.

Connected systems

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

Why TaskyHub

How TaskyHub compares to traditional automation.

Positioned as an AI workflow automation platform—not just another node editor or iPaaS connector kit.

Aspect Traditional automation TaskyHub
Workflow creation Manual node-by-node Prompt → Workflow + canvas refinement
Credentials & access Global or ad hoc Workspace-scoped, multi-tenant
AI capabilities Limited or bolt-on Native AI + RAG + Voice
Analytics & monitoring Separate tools Integrated hub analytics
Developer experience Heavy manual wiring Canvas + endpoints + agents
Get started

Start building AI-powered workflows today.

Sign in, open Prompt → Workflow, connect integrations, and monitor every run from the hub. TaskyHub is your workflow orchestration platform—from plain English to production.

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Questions? support@taskyhub.xyz Contact sales