Documentation
Coreon Technical Documentation
Enterprise-grade AI orchestration platform for regulated environments
Introduction
Coreon is an enterprise AI orchestration platform that enables organizations to deploy intelligent agent systems with human oversight, complete auditability, and regulatory compliance. Unlike traditional AI solutions, Coreon creates interconnected agent networks that collaborate to solve complex tasks while maintaining governance controls.
Key Capabilities
Multi-Agent Orchestration
Coordinate specialized AI agents in complex workflows
Enterprise Security
End-to-end encryption and role-based access controls
Regulatory Compliance
Built-in controls for HIPAA, GDPR, SOC 2, and more
Human Oversight
Review interfaces and intervention controls
Coreon is designed specifically for enterprises in regulated industries where reliability, transparency, and compliance are mission-critical requirements. The platform enables organizations to implement AI systems that maintain human judgment for sensitive decisions while automating routine processes.
Platform Architecture
Coreon's architecture consists of four integrated layers that work together to provide secure, compliant AI orchestration with complete visibility and control.
Architectural Layers
Normalizes and validates enterprise data from multiple sources, enriches with context, and applies security metadata.
- Schema validation and error handling
- Context generation with NER
- Data lineage tracking
- Security classification
Core orchestration system where specialized AI agents collaborate in configurable workflows.
- Orchestrator agents
- Data processing agents
- Compliance validators
- Human interface agents
Enforces policies, security controls, and maintains comprehensive audit logs.
- Decision tracking with attribution
- Business rule enforcement
- Approval management
- Audit logging
Provides monitoring, review, and intervention capabilities for human operators.
- Live agent activity dashboards
- Review queues
- Approval workflows
- System health monitoring
This layered architecture enables Coreon to maintain separation of concerns while providing comprehensive visibility across the entire AI workflow. Each layer has specific responsibilities and interfaces with adjacent layers through well-defined APIs.
Agent Mesh Technology
The Agent Mesh is Coreon's core innovation, enabling the creation of specialized AI agents that collaborate to solve complex tasks while maintaining governance and auditability.
Agent Types
Data Processing Agents
- Document classifiers
- Information extractors
- Data transformers
- Content analyzers
Compliance Agents
- Regulatory validators
- Security monitors
- Policy enforcers
- Audit generators
Orchestration Agents
- Workflow coordinators
- Task dispatchers
- Error handlers
- System monitors
Interface Agents
- Human reviewers
- Notification managers
- Escalation handlers
- Feedback collectors
Agent Configuration
Agents are configured through a declarative API that specifies their behavior, connections, and governance controls. Below is a simplified example of an agent mesh configuration:
{ "name": "Claims Processing Workflow", "agents": [ { "id": "document-classifier", "name": "Document Classifier", "type": "data-processing", "model": "coreon-nlp-v2", "parameters": { "temperature": 0.2, "max_tokens": 2000 } }, { "id": "data-extractor", "name": "Data Extractor", "type": "data-processing", "model": "coreon-structure-v1", "parameters": { "temperature": 0.1, "max_tokens": 4000 } }, { "id": "compliance-validator", "name": "Compliance Validator", "type": "compliance", "model": "coreon-finance-secure", "parameters": { "temperature": 0.0, "max_tokens": 1000 } }, { "id": "human-interface", "name": "Human Interface", "type": "interface", "model": "coreon-interface-v3" } ], "connections": [ { "from": "document-classifier", "to": "data-extractor", "condition": "confidence > 0.85" }, { "from": "data-extractor", "to": "compliance-validator" }, { "from": "compliance-validator", "to": "human-interface", "condition": "compliance_score < 0.95" } ] }
This configuration creates a workflow where documents are classified, relevant data is extracted, compliance is verified, and human review is triggered when needed. The mesh approach allows for precise control over information flow while maintaining regulatory compliance.
Human-in-the-Loop Controls
Coreon's human-in-the-loop (HITL) controls ensure that AI systems maintain appropriate human oversight, especially for high-stakes decisions in regulated environments.
HITL Control Mechanisms
Supervision Modes
- Full Oversight: All decisions require explicit human approval
- Threshold-Based: Review triggered by confidence scores or risk levels
- Sampling: Random subset reviewed for quality control
- Exception-Only: Only flagged cases require human intervention
Review Interface
- Prioritized task queues with deadlines
- Context-rich decision support information
- One-click approval/rejection with comments
- Historical performance metrics
Intervention Controls
- Emergency stop capabilities for individual agents or workflows
- Runtime parameter adjustments
- Manual overrides with justification tracking
- Feedback collection for model improvement
HITL controls are configurable at both the platform level and for individual workflows. This allows organizations to implement the appropriate level of human oversight based on risk profiles, regulatory requirements, and operational needs.
Security & Compliance
Coreon includes enterprise-grade security measures and native compliance enforcement for regulated industries.
Security Features
End-to-end Encryption
Secure data transmission and storage
Role-based Access Controls
Granular permissions for secure operations
Immutable Audit Logging
Complete, tamper-proof audit trail
Per-region Data Residency
Regulatory compliance for data location
Supported Compliance Frameworks
HIPAA
Healthcare data protection
GDPR
Data privacy and subject rights
SOC 2
Service organization controls
ISO 27001
Information security management
Compliance Enforcement
Automated Policy Checking
Before agent execution
Data Lineage Tracking
For full provenance
Retention Policy Enforcement
With secure deletion
Consent Management
Integration
Enterprise Integration
Coreon is API-first and supports flexible deployment strategies to integrate into both modern and legacy infrastructure.
Integration Capabilities
RESTful APIs
For all platform components
GraphQL Endpoints
For complex data operations
SDKs
Python, Go, TypeScript, and Java
Webhooks
Real-time events and notifications
Message Queue Integration
(Kafka, RabbitMQ, SQS)
Enterprise Connectors
Salesforce
CRM integration
SAP
ERP workflows
Oracle
Database operations
ServiceNow
IT service management
Microsoft 365
Document processing
Workday
HR processes
Data Integration Patterns
Batch Processing
For large datasets
Real-time Streaming
For continuous operations
Change Data Capture
For incremental updates
Event-driven Architecture
For reactive workflows
Deployment Models
Coreon can be deployed in various environments to meet enterprise constraints.
Deployment Options
Fully Managed SaaS
With enterprise SLAs
Customer-deployed
AWS, Azure, or GCP
Hybrid Deployments
On-premise data protection
Full On-premise Deployment
For sensitive infrastructure
Edge Deployment
For latency-sensitive applications
Recommended Practices
Start with Conservative Agent Permissions
Minimize risk
Enable Audit Logging and Metrics
From day one
Review Mesh Configuration
Before Production Deployment
Use Versioning and Rollback
For All Workflows
Regularly Test and Validate
HITL Thresholds and Approval Rules
Implement Staged Rollout
For Critical Workflows
Establish Clear Escalation Paths
For Exceptions
Performance Optimization
Agent Caching
For Repetitive Tasks
Parallel Execution
For Independent Workflow Branches
Asynchronous Processing
For Non-blocking Operations
Resource Allocation
Based on Priority Tiers
Scheduled Scaling
For Predictable Workloads
Industry Use Cases
Coreon is purpose-built for sectors where reliability, transparency, and compliance are mission-critical:
Healthcare
- Patient intake automation with compliance documentation
- Clinical triage systems with physician oversight
- Medical record analysis and summarization
- Treatment protocol adherence verification
- Regulatory documentation generation
Finance
- Multi-stage fraud detection with human review thresholds
- Audit trail generation for regulatory reporting
- Automated compliance checks with exception handling
- Risk assessment with explainable decision paths
- Regulatory report creation and validation
Insurance
- Multi-agent claim processing workflows
- Policy validation and exception handling
- Risk assessment with human oversight
- Customer communication with compliance checks
- Fraud detection with explainable flagging
Public Sector
- Document automation with security clearance controls
- Eligibility verification with audit trails
- Decision support with transparency requirements
- Case management with oversight thresholds
- Compliance verification for regulatory processes
API Reference
Coreon provides a RESTful API for all platform components, allowing for seamless integration and automation.
Available Resources
REST API
For all platform components
GraphQL Endpoints
For complex data operations
SDKs
Python, Go, TypeScript, and Java
Webhooks
Real-time events and notifications
Message Queue Integration
(Kafka, RabbitMQ, SQS)