Enterprise AI Agent Workflow Automation

Design, run, approve, and audit AI agent workflows.

TaskFlow AI proves real agent workflow automation: LangGraph orchestration, tool calling, human approval gates, live execution traces, retries, cost controls, usage logs, RBAC, and a working guest demo.

Try Guest Demo Login

Chinese positioning: 企业级 AI Agent 工作流自动化平台，支持状态机、工具调用、人审节点、实时轨迹、成本控制和 AgentOps 可观测性。

Live demo scenario

Competitor Research & Outreach Agent

1Planner step starts

2Demo tools execute

3Approval gate pauses

4User approves

5Reviewer completes

6Structured report appears

7Credits and usage logs update

LangGraph runtime

Stateful workflow runs with persisted steps, pause/resume, retries, and final output validation.

Tool gateway

MCP-style discovery and schema-validated invocation with auditable tool-call logs.

Human approval

Approval gates stop execution before sensitive actions and resume with a recorded decision.

AgentOps

Usage logs, credits, latency, model/provider metadata, and local Langfuse-ready traces.

RBAC safety

Workspace roles protect workflow editing, tool management, approvals, and guest demo boundaries.