AI Capabilities

AI built into the workflow.

Use AI to help build workflows and add AI agents directly into workflows when a process requires reasoning, interpretation or flexible handling.

AI Capabilities

Four ways AI works inside meta-flow.ai

From AI-assisted workflow building to AI agents embedded as workflow activities.

01

AI Assistant

Brings natural-language AI assistance into Design Studio, helping users ask questions and build or refine workflows while they work.

  • Ask questions during workflow design
  • Describe workflow requirements in natural language
  • Accelerate workflow creation and refinement
meta-flow.ai AI Assistant workflow design interface screenshot
02

AI Agent as a Workflow Activity

Adds an AI Agent directly to a workflow as an activity, allowing specific steps to be delegated to AI when they require reasoning, interpretation, or flexible handling.

  • Place an AI Agent directly between workflow activities
  • Handle complex and unstructured process steps
  • Use AI output as part of the next workflow step
meta-flow.ai AI Agent configured as a workflow activity screenshot
03

Custom Agentic Automation

Build custom agentic automation for specific business use cases by combining AI-driven behaviour with deterministic workflow activities and application integrations.

  • Design AI-driven automation for specific processes
  • Combine agents with deterministic workflow activities
  • Extend automation beyond purely rule-based tasks
meta-flow.ai custom agentic automation workflow screenshot
04

Intelligent Document Processing

Brings document-based work into automated processes by extracting and structuring information for downstream workflow activities.

  • Process business documents
  • Extract and structure document information
  • Use document intelligence within end-to-end workflows
meta-flow.ai Intelligent Document Processing screenshot
AI + Workflow

Put AI exactly where the process needs it

AI does not replace the workflow. It becomes part of the workflow.

Workflow logic

Use defined activities, rules, triggers, schedules and orchestration for predictable process execution.

AI assistance

Use the meta-flow.ai AI Assistant while designing and refining workflows.

AI activity

Insert an AI Agent when a workflow step needs reasoning, interpretation or flexible handling.

Connected execution

Pass information between applications, activities, documents and AI-driven steps.

Example

AI inside a workflow

01

Trigger

Start the workflow from an event or schedule.

02

Collect

Gather information from connected applications or workflow inputs.

03

Process

Run standard activities and business rules.

04

AI Agent

Send the complex or unstructured step to an AI Agent.

05

Continue

Use the agent's output in the next workflow activity.

06

Complete

Continue orchestration and complete the business process.

Security & Privacy

Enterprise-Grade Security Built In

meta-flow.ai processes sensitive financial, healthcare, and corporate data. Access controls, encryption, and audit logging are built into how the platform handles that data.

  • Private Tenant Isolation

    Configurable tenant boundaries keep each organisation's workflows and data separate.

  • AES 256 End-to-End Encryption

    Sensitive fields, keys, and session data remain fully encrypted both in transit and at rest.

  • Role-Based Access Control (RBAC)

    Configure precise team boundaries, sandboxes, credentials keys, and deployment authorizations.

  • Immutable Audit Logging

    Every automated path, login attempt, or database fetch leaves a tamper-proof audit trail.

Illustration representing meta-flow.ai's security and privacy safeguards

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