Cuva AI

Multi-Agent Workflows

Multi-agent workflows for automating complex enterprise operations

Execute workflows with branching logic, complex decisions, and controlled agent behavior.

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Multi-Agent Workflows Dashboard

Designed for complex enterprise workflows

Multi-agent workflows enable enterprises to automate operations that involve branching logic, multiple decisions, and coordinated agent behavior.

Handle complex operations

Support workflows with branching paths, dependencies, and decision-heavy logic.

Coordinate multi-agent behavior

Assign specialized agents to different steps within a single end-to-end workflow.

Maintain control and visibility

Track execution, decisions, and outcomes across the entire workflow lifecycle.

Workflow Components

The building blocks that power multi-agent workflows.

Trigger Agent

Initiates workflows based on events, schedules, APIs, or manual actions.

AI Agent

Performs reasoning, decision-making, and task execution within the workflow.

Connectors

Enable workflows to interact with enterprise applications, financial systems, data sources, and transaction platforms.

Custom Tools

Extend agent capabilities with domain-specific logic or services.

Flow Control

Defines sequencing, branching, conditions, retries, and parallel execution paths.

Terminator

Ends workflows, produces final outputs, or escalates actions to humans or downstream systems.

Workflow Lifecycle

BuildTrainRunMonitor & Iterate
1

Build

Assemble workflow components into coordinated multi-agent flows. Define agent roles, execution order, flow control, and termination conditions. Workflow design is performed using Agent Studio.

2

Train

Refine agent behavior by validating outputs, adjusting decision paths, and improving consistency. Training leverages execution feedback and historical results to improve reliability.

3

Run

Execute workflows through multiple trigger modes, including APIs, schedules, and manual activation. Agents coordinate across steps, pass context, and handle multi-stage execution.

4

Monitor & Iterate

Track workflow execution through detailed logs and execution history. Identify failures, handle exceptions, introduce human intervention when required, and continuously refine workflows.

Why It Matters

Enables complex processes to be handled by multiple specialized agents
Reduces manual handoffs and operational friction
Improves reliability, traceability, and audit readiness

Relationship to Other Components

Multi-Agent Workflows integrates with key platform components.

Agent Studio

Design and configure multi-agent workflows.

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Knowledge Systems

Provide context and intelligence to agents.

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Operating Fabric

Provides coordination, state management, and control.

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Connectors

Enable workflows to operate across enterprise systems.

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Ready to automate complex workflows?

See how Multi-Agent Workflows can transform your enterprise operations.