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

Data Abstraction Layer

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
Agent Mesh

Core orchestration system where specialized AI agents collaborate in configurable workflows.

  • Orchestrator agents
  • Data processing agents
  • Compliance validators
  • Human interface agents
Governance Kernel

Enforces policies, security controls, and maintains comprehensive audit logs.

  • Decision tracking with attribution
  • Business rule enforcement
  • Approval management
  • Audit logging
Teleoperation Interface

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)