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    • Workflows API
    • Tools API
    • KDL (Data Lake) API
    • OpenAI-Compatible API
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    • Communication Channels

Workflow Automation

Automate Complex Business Processes with Confidence

Kaman's Workflow Automation empowers your organization to design, execute, and monitor sophisticated business processes that span multiple systems, people, and decisions - all with complete visibility, checkpoint-based recovery, and human-in-the-loop controls.


What is Workflow Automation?

Workflow automation transforms manual, repetitive tasks into consistent, reliable processes that run automatically. With Kaman, you can create workflows that:

  • Execute multi-step processes without manual intervention
  • Make decisions based on data and conditions
  • Coordinate actions across multiple systems
  • Pause for human approvals when needed
  • Handle exceptions and errors gracefully
  • Resume from checkpoints after interruptions

Architecture: LangGraph-Powered Workflows

Kaman's workflow engine is built on LangGraph's StateGraph architecture, providing:

Key Benefits:

  • Checkpoint Recovery - Resume from any point after failures
  • State Persistence - Workflows survive service restarts
  • Parallel Execution - Multiple branches execute concurrently
  • Human-in-the-Loop - Natural pause points for approvals

Key Capabilities

Visual Workflow Designer

Build complex workflows without writing code. The intuitive visual designer lets you:

  • Drag and drop workflow components
  • Define conditions and branching logic
  • Connect to data sources and systems
  • Set up notifications and approvals
  • Preview and test before deployment

Conditional Logic & Decision Points

Create intelligent workflows that respond to different situations:

Human-in-the-Loop Interrupts

Workflows can pause for human input without losing state:

Interrupt Types:

TypeUse Case
ApprovalRequire sign-off before proceeding
InputGather additional information
ConfirmationVerify critical actions
EscalationAlert when thresholds exceeded

Multi-System Orchestration

Coordinate actions across your entire technology stack:

  • Update multiple databases in sequence
  • Send notifications through various channels
  • Trigger actions in external systems via MCPs
  • Aggregate data from multiple sources
  • Maintain data consistency across systems

Scheduled & Event-Triggered Execution

Start workflows based on:

Trigger TypeExamples
ScheduleDaily reports, monthly reconciliation, weekly backups
EventNew record created, status changed, threshold exceeded
ManualUser-initiated, on-demand execution
API CallExternal system integration, webhook triggers
Channel MessageSlack command, Teams message, email

Error Handling & Recovery

Build resilient workflows that handle problems gracefully:

  • Automatic retry for transient failures
  • Alternative paths for error scenarios
  • Notification when intervention is needed
  • Complete error logging for troubleshooting
  • Checkpoint-based resume from point of failure

Control & Transparency

Real-Time Monitoring

Watch your workflows as they execute:

Audit Trail

Every workflow execution is fully documented:

  • Who initiated the workflow
  • What data was processed
  • Which decisions were made and why
  • Who approved each step
  • When each action occurred
  • What the outcome was
  • All checkpoints saved

Version Control

Manage workflow changes safely:

  • Track all modifications to workflow definitions
  • Compare versions to see what changed
  • Roll back to previous versions if needed
  • Test changes before deploying to production

Debugging Tools

When things go wrong, understand why:

  • Step-by-step execution replay
  • Variable values at each point
  • Decision explanations
  • Error details and stack traces
  • Checkpoint inspection

Sub-Agent Integration

Workflows can leverage specialized AI sub-agents:

Sub-Agent Capabilities in Workflows:

  • Parallel analysis of complex data
  • Dynamic code generation for transformations
  • Research and knowledge synthesis
  • Multi-step reasoning for decisions

Common Workflow Patterns

Approval Workflows

Route requests through appropriate approval chains based on type, amount, or other criteria.

Example Use Cases:

  • Purchase requisitions
  • Time-off requests
  • Document reviews
  • Access requests

Data Processing Workflows

Automate data movement, transformation, and validation across systems.

Example Use Cases:

  • Daily data synchronization
  • Report generation
  • Data quality checks
  • Archive and cleanup

Notification Workflows

Keep stakeholders informed automatically based on events and conditions.

Example Use Cases:

  • Alert on exceptions
  • Status update broadcasts
  • Reminder sequences
  • Escalation notifications

Integration Workflows

Coordinate activities between multiple external systems via MCPs.

Example Use Cases:

  • CRM to billing sync
  • Order processing pipeline
  • Customer onboarding
  • Incident management

Benefits

Consistency

Every process runs exactly the same way, every time:

  • Eliminate human error
  • Ensure compliance with procedures
  • Maintain quality standards
  • Produce predictable outcomes

Efficiency

Free your team from repetitive tasks:

  • Reduce processing time
  • Eliminate manual handoffs
  • Speed up approvals
  • Scale operations without adding staff

Visibility

Know exactly what's happening across your operations:

  • Real-time status dashboards
  • Historical performance metrics
  • Bottleneck identification
  • Process optimization insights

Resilience

Workflows that survive interruptions:

  • Checkpoint-based recovery
  • Automatic retry logic
  • State persistence across restarts
  • Graceful error handling

Control

Maintain complete oversight:

  • Define who can do what
  • Require approvals where needed
  • Intervene when necessary
  • Change processes easily

Getting Started with Workflow Automation

Step 1: Identify Candidates

Look for processes that are:

  • Repetitive and rule-based
  • Prone to human error
  • Time-sensitive
  • Spanning multiple systems or people

Step 2: Map the Process

Document:

  • Current steps and sequence
  • Decision points and criteria
  • Systems involved
  • People and approvals needed

Step 3: Design the Workflow

Using the visual designer:

  • Create the workflow structure
  • Define triggers and conditions
  • Connect to systems via MCPs
  • Set up notifications and human-in-loop points

Step 4: Test Thoroughly

Before going live:

  • Run test scenarios
  • Verify decision logic
  • Check system integrations
  • Validate checkpoint/recovery behavior

Step 5: Deploy and Monitor

Once launched:

  • Watch initial executions closely
  • Gather feedback from users
  • Refine based on real-world results
  • Expand to additional use cases

Workflow Automation - Reliable processes with checkpoint recovery and human oversight

On this page

  • Automate Complex Business Processes with Confidence
  • What is Workflow Automation?
  • Architecture: LangGraph-Powered Workflows
  • Key Capabilities
  • Visual Workflow Designer
  • Conditional Logic & Decision Points
  • Human-in-the-Loop Interrupts
  • Multi-System Orchestration
  • Scheduled & Event-Triggered Execution
  • Error Handling & Recovery
  • Control & Transparency
  • Real-Time Monitoring
  • Audit Trail
  • Version Control
  • Debugging Tools
  • Sub-Agent Integration
  • Common Workflow Patterns
  • Approval Workflows
  • Data Processing Workflows
  • Notification Workflows
  • Integration Workflows
  • Benefits
  • Consistency
  • Efficiency
  • Visibility
  • Resilience
  • Control
  • Getting Started with Workflow Automation
  • Step 1: Identify Candidates
  • Step 2: Map the Process
  • Step 3: Design the Workflow
  • Step 4: Test Thoroughly
  • Step 5: Deploy and Monitor