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AI Workflow Engine

Enterprise workflow orchestrationpowered by LangGraph

Design, deploy, and orchestrate stateful AI workflows across your entire enterprise, with cyclic graph execution, human in the loop gates, and 500+ integration connectors. No code required.

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LangGraph StateGraph execution model

  1. 01Trigger
  2. 02Agent node
  3. 03HITL gate
  4. 04Branch
  5. 05Merge
  6. 06Connector
  7. 07Complete
Cyclic loops supportedState checkpointed at every nodeMulti agent shared state
18+
Workflow controls
500+
Integration connectors
LangGraph
State engine
Zero code
Workflow builder
Capability highlights

High impact features and AI capabilities

High impact features

  • LangGraph stateful graph backend: supports cyclic, self correcting agent loops that traditional tools cannot model
  • Human in the loop approval gates with full SLA enforcement: pause, redirect, or escalate any step
  • Parallel branch execution with dynamic merge: fan out to concurrent agents and reconvene at a collector node
  • 500+ prebuilt enterprise integration connectors, with zero custom code to connect any system
  • Visual Workflow Designer with live debug console: step through executions with full variable inspection
  • Immutable cryptographic audit trail, with every execution logged for regulatory compliance and forensic review

AI features

  • Natural language workflow generation: describe a process and AI builds the LangGraph workflow graph
  • AI evaluated conditional routing: the LLM decides which branch to follow based on document content or data
  • Intelligent error recovery: AI analyses failures and proposes retry strategies or alternative execution paths
  • Predictive SLA alerting: an ML model forecasts breach risk from execution telemetry before it occurs
  • Continuous optimisation recommendations: AI reviews historical runs and suggests graph refactoring
  • Agent to agent communication: shared state message passing across multi agent workflow nodes
18 workflow controls

Every building block your enterprise workflows need

From simple approval chains to complex multi agent orchestrations: one platform, 18 controls, unlimited scale.
01

Visual workflow designer

Drag and drop canvas with 100+ prebuilt node types and live preview

02

LangGraph state machine engine

Stateful, cyclical multi agent orchestration with checkpoint persistence

03

AI agent nodes

Embed and orchestrate AI agents as first class workflow steps with model selection

04

Conditional branching and AI routing

LLM evaluated rules for dynamic path selection based on content and context

05

Human in the loop (HITL) gates

Approval checkpoints with SLA enforcement, delegation, and escalation

06

Parallel branch execution

Concurrent workflow branches with fan out, fan in, and merge synchronisation

07

Event driven triggers

Webhook, cron schedule, AI signal, and enterprise event source triggers

08

Subworkflow composition

Nest and reuse workflows as building blocks across the enterprise

09

Error handling and retry logic

Configurable retry policies, circuit breaker patterns, and fallback branches

10

Workflow version control and rollback

Immutable execution history with one click rollback to any prior version

11

Real time execution monitor

Live step by step visualisation with latency telemetry and variable inspection

12

Integration connectors library

500+ prebuilt connectors to REST APIs, databases, and enterprise apps

13

Role based workflow governance

Designer, publisher, and executor roles with approval gate ownership

14

Immutable audit trail

Cryptographic log of every workflow execution for compliance and forensics

15

SLA tracking and breach alerts

Per workflow SLA targets with predictive alerting and escalation chains

16

Multi tenant workflow isolation

Namespace separated workflows with cross tenant governance and quotas

17

AI powered workflow optimiser

Analyses execution patterns and auto suggests latency and cost improvements

18

Natural language workflow generation

Describe a business process in plain English and AI builds the graph

Under the hood

LangGraph as the orchestration backbone

Most workflow engines were designed for linear pipelines. LangGraph was designed for AI: stateful, cyclical, and agent native from the ground up.
01

State graph

Every workflow is modelled as a LangGraph StateGraph. Nodes represent computation steps and edges represent transitions. State is typed, validated, and checkpointed at every node boundary.

02

Stateful persistence

Unlike stateless pipeline tools, LangGraph checkpoints workflow state after every node. Long running workflows survive restarts, and humans can inspect or modify state at any point.

03

Cyclic graphs

LangGraph natively supports loops and cycles, enabling self correcting agent patterns, retry logic with state memory, and iterative refinement workflows that DAG only tools cannot express.

04

Human interrupts

Execution pauses at designated HITL nodes, persisting state until a human approves, rejects, or redirects. SLA timers and escalation chains activate automatically on breach.

05

Multi agent coordination

Agents communicate through a shared, typed state object. Orchestrator nodes route work to specialist agents; reducer functions merge their outputs back into the main workflow state.

06

Streaming and observability

LangGraph streams token level and event level updates in real time. Every agent call, tool invocation, and state mutation is surfaced in the live execution monitor.

Why it matters

Why traditional workflow tools fall short for AI

Legacy BPM and RPA platforms were built before LLMs existed. Bolting AI onto them creates fragile, stateless integrations that break at scale.
Traditional workflow tools
  • No cyclic execution
  • Stateless pipelines
  • No human in the loop
  • Agents as afterthoughts
LangGraph
  • Traditional tools are DAG only. LangGraph supports loops and self correcting agent patterns natively.
  • Most workflow engines lose state between steps. LangGraph checkpoints every node, so workflows survive failures and restarts.
  • Approval gates are bolted on as hacks. XpediOo HITL is a first class node type with SLA tracking built in.
  • Older platforms treat AI calls as HTTP steps. Every agent node here has model selection, tool use, and streaming built in.
Get started

Ready to orchestrate your enterprise AI workflows?

See how the AI Workflow Engine, powered by LangGraph, can replace your fragmented automation tools with one unified, stateful orchestration platform.

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