Decision Configuration (Workflows)

Automated Decision Management in timveroOS

timveroOS provides visual configuration tools for implementing lending decision logic through workflows, data integration, and business rule management. The platform enables financial institutions to configure automated decision processes while maintaining manual review capabilities for complex cases.

Decision Configuration Components

The system organizes decision automation around several integrated modules:

  • Workflow Tool: Plugin module for visual Workflows (Decision flows) design

  • Data Sources: External information repositories integration

  • Mappings: JavaScript/Python scripts for data extraction and transformation into Features

  • Manual Underwriting: Human decision integration for Yellow zone cases

  • Profiles: Participant/asset attribute sets for offer generation

Section Contents

Configure visual Workflows (Decision flows) that implement Assessment logic through Workflow Tool plugin module, enabling automated participant/asset scoring based on defined criteria with Green/Yellow/Red zone outcomes.

Implement review workflows for cases requiring human evaluation, including routing rules and decision capture interfaces.

Integrate external information repositories including credit bureaus, banking systems, and alternative data sources to support Assessment processes through configured connections.

Configure JavaScript/Python scripts that extract and transform Data Source responses into named Features for use in Workflows (Decision flows).

System Capabilities

Workflow Configuration Features

timveroOS enables configuration of decision logic through:

  • Visual Design Interface: Flowchart-based Workflow (Decision flow) creation using Workflow Tool

  • Decision Node Types: Various logic implementation options

  • Data Integration Points: Connection to information sources

  • Profile Integration: Participant/asset attribute population for offer generation

  • Outcome Configuration: Result routing and actions

Data Integration Capabilities

The platform supports comprehensive data integration:

  • Multiple Source Types: Credit bureaus, banking systems, third-party providers

  • Mapping Configuration: JavaScript/Python scripts for Feature extraction

  • Feature Generation: Named values resulting from Mapping function processing

  • Error Handling: Failed connection management

  • Error Handling: Failed Data Source connection management

Review Process Management

Manual review features include:

  • Decision Department Routing: Criteria-based case assignment to configured departments

  • FormBuilder Interfaces: Structured review forms for specialist completion

  • Warning Fact Processing: Manual approval of flagged Assessment results

  • Profile Completion: Manual input when automated data unavailable

Configuration Approach

Workflow Design Process

Step O: Connect with Workflow within the specific Status

Step 1: Process Mapping

  • Document decision requirements

  • Identify data needs

  • Define decision criteria

  • Specify outcomes

Step 2: Workflow Creation

  • Design visual flow

  • Configure decision nodes

  • Set up data connections

  • Define routing logic

Step 3: Testing Protocol

  • Create test scenarios

  • Validate logic paths

  • Verify calculations

  • Check integrations

Step 4: Deployment

  • Production configuration

  • Monitoring setup

  • Performance tracking

  • Optimization planning

Data Configuration Steps

Source Integration:

  • Identify required external/internal information repositories

  • Configure Data Source connections at Framework level

  • Test data retrieval and response validation

  • Monitor connection health and performance

Mapping Setup:

  • Create JavaScript/Python scripts for data extraction

  • Validate Feature quality and handle edge cases

  • Test Mapping execution within Workflows

Implementation Patterns

Automated Decision Pattern

Configuration Elements:

  • Automated data retrieval

  • Rule-based evaluation

  • Straight-through processing

  • Exception handling

Use Cases:

  • Standard consumer loans

  • Pre-qualification decisions

  • Limit increases

  • Renewal processing

Hybrid Decision Pattern

Configuration Components:

  • Initial automated Assessment through Workflows

  • Yellow zone triggers for Manual Underwriting

  • Warning Fact generation with department routing

  • FormBuilder forms for specialist decision capture

Applications:

  • Complex credit product evaluations

  • High-value transaction assessments

  • Exception case Manual Underwriting

  • Compliance-required manual reviews

Multi-Stage Pattern

Design Features:

  • Sequential Workflow execution at different Business Process stages

  • Progressive Data Source integration and Feature accumulation

  • Stage-based Profile attribute population

  • Conditional Assessment progression based on prior results

Implementations:

  • Tiered approval processes

  • Risk-based workflows

  • Graduated assessments

  • Phased evaluations

Integration Architecture

System Connections

Decision configuration integrates with:

  • Business Processes: Workflow triggering

  • Data Sources: Information retrieval

  • Notification Services: Communication triggers

  • Analytics Platform: Performance monitoring

  • Offer Engine: Profile-based offer calculation using populated attributes

Data Flow Management

Information movement includes:

  • Input Collection: Application data gathering

  • External Retrieval: Third-party information

  • Processing Logic: Calculation execution

  • Result Distribution: Decision communication

  • Profile Formation: Save to Profile node execution for attribute population

  • Storage: Audit trail maintenance

Monitoring and Optimization

Performance Metrics

Track decision system health through:

  • Processing Times: Decision duration monitoring

  • Automation Rates: Straight-through percentages

  • Approval Metrics: Outcome distribution

  • Error Tracking: Failed process identification

  • Quality Indicators: Decision consistency

Optimization Tools

Improve performance using:

  • A/B Testing: Strategy comparison

  • Threshold Tuning: Parameter adjustment

  • Flow Analysis: Bottleneck identification

  • Rule Refinement: Logic optimization

  • Integration Monitoring: Connection health

Configuration Best Practices

Design Principles

  • Start with simple workflows

  • Test thoroughly before deployment

  • Document all logic

  • Monitor performance continuously

  • Iterate based on results

Implementation Guidelines

  • Map processes completely

  • Validate data quality

  • Handle exceptions gracefully

  • Maintain audit trails

  • Plan for optimization

Key Considerations

Compliance Requirements

  • Document all decision logic

  • Maintain complete audit trails

  • Ensure consistent application

  • Support regulatory reviews

  • Enable policy updates

Operational Excellence

  • Balance automation with control

  • Provide override capabilities

  • Monitor system health

  • Track decision quality

  • Optimize continuously


timveroOS: Configurable decision automation for lending operations

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