Under the Hood

Built for reliability and scale

Enterprise-grade architecture that handles the complexity of multi-LLM orchestration, context management, and values-based governance - so you don't have to.

Architecture

A platform designed for AI orchestration

Three integrated layers work together to deliver intelligent, context-aware AI assistance.

1

Orchestration Layer

Multi-LLM Intelligence

Routes requests to the optimal AI model based on task requirements, cost, and performance characteristics.

  • 50+ AI models from leading providers
  • Automatic model selection and fallback
  • Real-time streaming responses
2

Context Layer

Intelligent Memory

Manages and injects relevant business context into every AI interaction automatically.

  • Token-aware context budgeting
  • Priority-based context ordering
  • Dynamic injection rules
3

Governance Layer

Values-Based Control

Ensures AI recommendations align with your principles through the Parthenon framework.

  • Configurable ethical guardrails
  • Integrity metrics tracking
  • Human-in-the-loop controls
LLM Registry

Multi-LLM Orchestration

Different AI models excel at different tasks. Claude is exceptional for nuanced analysis, GPT-4 shines at creative writing, and Perplexity excels at real-time research. Our orchestration layer leverages each model's strengths.

The LLM Registry maintains a comprehensive catalog of model capabilities - vision support, function calling, streaming, context windows, and performance characteristics. This enables intelligent routing and automatic fallback when needed.

  • Anthropic Claude (Opus, Sonnet, Haiku)
  • OpenAI GPT-4o and GPT-4 Turbo
  • Perplexity for real-time research
  • Specialized models for vision and embeddings
llmRegistry.js
// Model capability registration
{
  "claude-opus": {
    provider: "anthropic",
    capabilities: [
      "vision",
      "streaming",
      "function_calling"
    ],
    contextWindow: 200000,
    bestFor: [
      "complex_analysis",
      "nuanced_reasoning"
    ]
  }
}
Context Engine

Intelligent Context Injection

Every AI model has a finite context window - a limit on how much information it can process at once. Our context injection system intelligently manages this limited space to maximize relevance.

Context assets are prioritized and assembled at runtime based on the task at hand. Your company profile, client information, values, and relevant expertise are woven into each request - automatically and intelligently.

  • Token-aware budgeting prevents overflow
  • Priority ordering ensures critical context first
  • Conditional rules for task-specific context
  • Security-validated injection patterns

Context Assembly Pipeline

1
Asset Collection

Gather relevant context assets

2
Priority Sorting

Order by importance and relevance

3
Token Budgeting

Fit within model limits

Injection

Assembled context sent to LLM

Reliability

Built for production workloads

Enterprise-grade patterns ensure consistent performance even when external services hiccup.

Automatic Retry

Exponential backoff with configurable retry attempts. Transient failures are handled automatically without user intervention.

Circuit Breaker

Prevents cascade failures when AI providers experience issues. The system gracefully degrades rather than failing completely.

Timeout Management

Configurable request timeouts ensure responsiveness. Long-running requests don't block the system.

Provider Fallback

If one AI provider is unavailable, requests automatically route to alternative providers with similar capabilities.

Real-time Streaming

Server-Sent Events (SSE) enable real-time response streaming. See AI responses as they're generated.

Request Validation

ReDoS-safe regex validation and input sanitization protect against malicious inputs and injection attacks.

Governance

The Parthenon Framework

Named after the ancient Greek temple symbolizing wisdom and democracy, the Parthenon framework provides a structured approach to values-based AI governance.

Define "pillars" - the ethical principles and bright lines that guide your organization. The framework ensures AI recommendations are evaluated against these pillars, maintaining alignment with your values.

  • Configurable value pillars and bright lines
  • Integrity metrics and alignment tracking
  • Action proposals with governance review
  • Audit trails for accountability
Trust
Ethics
Growth
Service
Quality

Your values become the pillars that support every AI decision.

S2E Pipeline

From Strategy to Execution

A structured methodology that transforms strategic clarity into measurable action.

Align 120

Strategic alignment assessment and readiness scoring

Strategy 120

Strategic planning with prioritized initiatives and roadmaps

Execute 120

Execution tracking with progress metrics and accountability

Integration Architecture

Model Context Protocol (MCP)

A standardized protocol that enables AI to securely interact with your business tools.

The Model Context Protocol (MCP) is an open standard that allows AI systems to connect securely with external data sources and tools. Insight 360 uses MCP to integrate with your existing business applications without compromising security.

Through MCP, your AI assistant can read customer data from your CRM, access financial records from QuickBooks, retrieve email history from your marketing platform, and take actions on your behalf - all through natural conversation.

  • Standardized, secure protocol for AI integrations
  • Bidirectional data flow with granular permissions
  • Real-time sync with external systems
  • Extensible architecture for custom connectors
MCP Server Configuration
// MCP server connections
{
  "servers": {
    "salesforce": {
      "type": "crm",
      "actions": [
        "read_contacts",
        "update_opportunities",
        "create_tasks"
      ]
    },
    "quickbooks": {
      "type": "finance",
      "actions": [
        "read_invoices",
        "read_expenses"
      ]
    }
  }
}
Ecosystem

Connect your entire tech stack

Pre-built integrations with the tools SMBs rely on every day.

CRM Systems

  • Salesforce
  • HubSpot
  • Pipedrive
  • Zoho CRM
  • Monday.com

Email Marketing

  • Mailchimp
  • Constant Contact
  • ActiveCampaign
  • Klaviyo
  • ConvertKit

Financial Apps

  • QuickBooks
  • Xero
  • FreshBooks
  • Wave
  • Stripe

Productivity

  • Microsoft 365
  • Google Workspace
  • Notion
  • Slack
  • Asana

What You Can Do With Integrations

"Pull up the last 5 emails with Acme Corp"

AI reads your email history and summarizes the relationship

"What's our revenue this quarter?"

AI queries QuickBooks and provides real-time financial insights

"Create a follow-up task for John"

AI creates a task in your CRM with full context attached

Don't see your tool? We can build custom MCP connectors for your specific needs.

Request a Custom Integration

Modern, proven technology

Built on battle-tested foundations you can trust.

Node.js & Express

High-performance JavaScript runtime with robust API framework for reliable backend services.

Supabase PostgreSQL

Enterprise-grade PostgreSQL with Row Level Security for multi-tenant data isolation.

Security First

Helmet CSP headers, CORS protection, cookie authentication, and comprehensive input validation.

Ready to see the technology in action?

Schedule a technical deep-dive with our team. We'll show you how Insight 360 can integrate with your existing systems.