One line change. Full governance.
from openai import OpenAI
# After — one line change, full governance
from aicp import OpenAI
Why AICP Exists
Your company is deploying LLM-powered features faster than your governance can keep up. You can't answer basic questions like "Which models break if this training dataset changes?" or "Did this AI decision comply with our data policy?"
But only 6% of organizations have advanced AI security strategies.
The governance gap is growing faster than the AI adoption gap.
What AICP Does
Immutable Decision Records
Every AI decision is captured as a structured, immutable, context-rich artifact.
- Tamper-proof decision records
- Time-series storage
- Point-in-time queries
Metadata Knowledge Graph
A knowledge graph that connects datasets, features, models, prompts, decisions, and outcomes.
- Full provenance tracking
- Impact analysis via graph
- Blast radius queries
Runtime Governance
Define governance rules in simple YAML. Policies evaluate at runtime, before execution.
- Policy-as-code (YAML)
- PII detection
- Human-in-the-loop approvals
How AICP Works
A transparent gateway that sits between your applications and their LLM providers.
Control Plane Coordination
Three execution planes coordinated by the control plane
Agentic Orchestration Flow
Propose → authorize → execute pattern
See AICP in Action
Explore the metadata graph, enforce policies, and trace every decision
End-to-End Lineage
Trace from datasets to business outcomes
Policy Enforcement
Define and enforce governance rules
Metadata Graph Details
Inspect node metadata, relationships, and policy tags
Built for Regulated Industries
Deploy AI agents with confidence in FinTech, HealthTech, and LegalTech.
Financial Services
Ensure every trading decision, loan approval, and customer interaction is traceable and compliant.
Healthcare
Protect patient data with real-time PII detection while enabling AI-powered diagnostics.
Enterprise SaaS
Scale AI features without scaling your debugging team. Reduce diagnostic time dramatically.
Who This Is For
Platform Teams
Manually stitching together observability tools, struggling to answer "what changed?"
Unified control plane with end-to-end lineage and real-time policy enforcement
ML Engineers
No visibility into which models depend on which datasets or features
Graph-based lineage showing full dependency chains and impact analysis
Data Engineers
Breaking production models when updating datasets, no way to predict impact
Blast radius queries showing exactly what breaks before you push changes
Compliance Officers
Weeks of manual audit preparation, incomplete decision trails
Immutable audit trails with complete context, audit-ready in minutes
Built for AI Agents Who Execute
AICP provides the semantic context agents need for operational orchestration.
Without Semantic Context
- Blind execution with no awareness of dependencies
- No lineage awareness, can't trace decisions
- Policy ignorance leads to compliance violations
- Stateless execution, no reproducibility
With AICP Semantic Control Plane
- Context-aware execution with full dependency graph
- Runtime impact analysis before taking action
- Policy-guided operations with automatic compliance
- Reproducible decisions with complete audit trails
Ready to govern your AI systems?
Join the waitlist to get early access to AICP.