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:
| Type | Use Case |
|---|---|
| Approval | Require sign-off before proceeding |
| Input | Gather additional information |
| Confirmation | Verify critical actions |
| Escalation | Alert 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 Type | Examples |
|---|---|
| Schedule | Daily reports, monthly reconciliation, weekly backups |
| Event | New record created, status changed, threshold exceeded |
| Manual | User-initiated, on-demand execution |
| API Call | External system integration, webhook triggers |
| Channel Message | Slack 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