Technical Architecture
AICP sits as a transparent gateway between your applications and LLM providers, providing complete audit trails, end-to-end lineage, and real-time policy enforcement.
Control Plane Coordination
AICP coordinates three execution planes—Data, Model, and Agent—through a centralized control plane that maintains metadata graphs, enforces policies, and creates immutable audit trails.
Data Plane
Manages datasets, features, and training data with full provenance tracking
Model Plane
Tracks models, prompts, and LLM configurations with version control
Agent Plane
Orchestrates AI agents with semantic context and policy awareness
Agentic Orchestration Flow
Every AI decision follows a propose→authorize→execute pattern with governance gates at each stage, ensuring compliance before execution.
1. Propose
Agent proposes an action with full context and metadata
2. Authorize
Policy engine evaluates against governance rules and compliance requirements
3. Execute
Approved actions execute with full audit trail and decision record
Semantic Observability
When business KPIs drop, AICP's knowledge graph enables instant root cause analysis by traversing from outcome back through decisions, models, features, and datasets.
Business Outcome
AI Action
LLM/Prompt
Input Data
Root Cause
Example: Subscription renewal rate drops 3%
Graph traversal reveals: Dataset schema change → Feature drift → Model degradation → Poor recommendations → Lower renewals
Integration
AICP integrates with your existing infrastructure through a simple import change or API base URL update. No migration project required.
Technical Stack
Core Components
- • LiteLLM Router: Multi-provider LLM routing with semantic caching
- • Policy Engine: YAML-driven runtime governance with PII detection (Presidio)
- • TimescaleDB: Time-series storage for immutable decision records
- • Neo4j: Knowledge graph for end-to-end lineage tracking
Key Features
- • Deterministic Replay: Reproduce any past decision with exact context
- • Impact Analysis: Query "what breaks if I deprecate this model?"
- • Human-in-the-Loop: Approval workflows for high-stakes decisions
- • Cost Attribution: Track LLM costs by team, project, or feature