How It Works

Build workflows. Connect systems. Add AI where it matters.

meta-flow.ai takes a process from visual design through configuration, triggering, orchestration and intelligent execution.

The Lifecycle

The Workflow Lifecycle

From process design to intelligent execution — seven steps from building a workflow to running and improving it.

01
Design step in meta-flow.ai

Design

Map your process visually in Design Studio using reusable activities and the meta-flow.ai AI Assistant to accelerate workflow creation.

  • Design workflows visually using a drag-and-drop canvas.
  • Build process steps using reusable activities.
  • Use AI assistance to accelerate workflow creation and refinement.
02
Configure step in meta-flow.ai

Configure

Configure the activities, connectors, business rules, approvals, and document-processing steps required to build a complete business workflow.

  • Configure reusable activities and application connectors.
  • Define business rules and approval steps.
  • Add document-processing capabilities to workflows.
03
Trigger step in meta-flow.ai

Trigger

Start workflows automatically through configured events or schedules, enabling processes to run without manual initiation.

  • Configure event-based workflow triggers.
  • Schedule recurring workflow executions.
  • Automate process initiation without manual intervention.
04
Orchestrate step in meta-flow.ai

Orchestrate

Coordinate multiple activities and workflow steps through Hub and orchestration capabilities to manage end-to-end business processes.

  • Coordinate multi-step workflow activities.
  • Manage workflows centrally through Hub.
  • Orchestrate end-to-end business processes from one platform.
05
Add AI step in meta-flow.ai

Add AI

Add an AI Agent as a workflow activity when a process step requires reasoning, interpretation, or flexible handling of unstructured information.

  • Add AI Agents directly into workflow steps.
  • Handle reasoning and interpretation-based tasks.
  • Process complex and unstructured information intelligently.
06
Execute step in meta-flow.ai

Execute

Run workflows across connected applications and systems, combining reusable activities, integrations, business logic, and AI-powered capabilities.

  • Execute workflows across connected business applications.
  • Automate multi-step processes from start to finish.
  • Combine integrations, business logic, and AI in execution.
07
Monitor & Improve step in meta-flow.ai

Monitor & Improve

Review workflow execution and continuously refine processes as business requirements evolve, ensuring automation remains effective over time.

  • Review workflow execution and process performance.
  • Identify opportunities to refine and improve workflows.
  • Adapt automation as business requirements change.
Architecture

A connected architecture for intelligent workflows

Bring application inputs, workflow activities, documents, business logic and AI-driven steps together in one execution path.

Data & Applications

Connect information from web applications, enterprise applications, databases, documents, and APIs.

  • Web & Enterprise Applications
  • Databases & Documents
  • APIs & Connected Systems

Workflow Layer

Define process execution using reusable activities, business rules, approvals, triggers, and schedules.

  • Activities & Business Rules
  • Approvals & Triggers
  • Schedules & Process Logic

Intelligence Layer

Apply intelligent document processing and AI capabilities wherever workflows require interpretation or reasoning.

  • Intelligent Document Processing
  • AI-Powered Interpretation
  • Reasoning & Decision Support

Agent Layer

Insert AI agents directly into workflows to handle complex, flexible, and unstructured process steps.

  • AI Agents as Activities
  • Complex Process Handling
  • Unstructured Information

Orchestration Layer

Coordinate workflow execution and manage automation centrally through Hub and orchestration capabilities.

  • Workflow Orchestration
  • Centralized Automation
  • Execution Management

Results That Matter

Less manual effort and fewer hand-offs.

Faster, more consistent process execution.

Greater operational visibility and control.

meta-flow.ai results dashboard showing automation outcomes