Infrastructure · AI Safety

The Execution Layer
for AI Agents.

Where AI decisions become controlled actions.

AI reasoning is probabilistic.
Real-world execution must be deterministic.

Artexion enforces validation, policy, and safety
before AI actions reach production systems.

Start Building View Architecture

Zero silent retries

Immutable audit trail

Hard policy enforcement

Live Execution

Watch the Guard intercept.

A real validation run. Two violations detected. $4,200 saved. Zero side effects.

artexion · refund_workflow.ax · live

🔗

Webhook Trigger

POST /refund-ticket

01 Input

received

🤖

LLM Extract

claude-sonnet · structured

02 Enrichment

amount: 4200

📋

Schema + Policy Check

order #7821 · $89.00

03 Validation

age: 52d

🛡

Artexion Guard

safety rules executing...

04 Guard Enforcement

BLOCKED

💸

Issue Refund

never executed

05 Execution

Guard output · exec_8821f3

"violations": [
  "refund_amount(4200) > order_value(89)",
  "order_age(52d) > policy_window(30d)"
],
"action": "blocked",
"saved": $4,200

0.9ms

validation

blocked

outcome

$4,200

prevented

Built For

Designed for teams that
ship AI in production.

Not another AI playground. An execution layer for systems that must behave correctly under all conditions.

🤖

AI Agents

Execute actions safely across APIs and services. Artexion intercepts every agent decision before it reaches real infrastructure.

🔗

LLM Workflows

Validate outputs before they trigger real systems. One node between your LLM step and your action step — nothing else changes.

⚙️

Autonomous Systems

Enforce deterministic policies in production. Policies are code — the model cannot hallucinate past them.

The Problem

AI acts. Nobody validates.

LLMs produce probabilistic output. Production systems require deterministic behavior. The gap is where failures happen.

Without Artexion

AI output goes straight to production. No checks. Silent failure.

🤖

AI generates output

Output triggers system action

⚠

No validation

Corrupted state reaches production

💥

System failure

Live incident — exec_8821f3

"action": "refund_customer",

"amount": 500000, // hallucinated

"checks_run": 0

With Artexion Guard

Validation runs before execution. $500,000 blocked. Trace recorded.

Artexion intercepts between model output and real-world action. Policies are code — hallucinations cannot bypass them.

Artexion Guard

schema validation

policy enforcement

risk scoring

execution control

immutable trace written

Validates refund_amount ≤ order_value

Validates order_age_days ≤ policy_window

Blocks execution before any side effect occurs

Writes immutable trace to audit log

Execution Pipeline

A security checkpoint
for every AI action.

Five stages. Every AI output passes through all of them before touching production.

Sequential, explicit step execution order

Pre-runtime schema + policy validation

Runtime schema drift detection with stop rules

Hard max-step enforcement — no silent bypass

Sandbox isolation per execution context

Deterministic replay with full lineage

Input

AI Output Enters System

Model output arrives with explicit context, scoped API authority, and client identity attached.

Enrichment

Context + Metadata Added

Business metadata and runtime state are attached before validation begins.

Validation

Schema + Policy Checks

Input structure and field types validated against declared contract. Malformed inputs never proceed.

Guard Enforcement

Safety Rules Executed

Business rules run as code. Numeric bounds, date windows, rate limits checked. Violations blocked immediately.

Execution

Action Released

Only validated, policy-compliant requests proceed. Every decision appended to an immutable execution log.

Why Artexion Exists

LLMs produce probabilities.
Systems require guarantees.

AI is getting powerful enough to take real actions in real systems.
But probabilistic models and deterministic infrastructure don’t mix safely.
Artexion bridges the gap.

The Problem

AI reasoning
is probabilistic

↔
ARTEXION

The Requirement

Real-world execution
must be deterministic

API Reference

POST /validate

policy.json

Response

// POST https://api.artexion.com/v1/validate

{
  "workflow_id": "refund_workflow",
  "execution_id": "exec_8821f3",
  "action": "issue_refund",
  "payload": {
    "refund_amount": 4200,
    "order_value":  89,
    "order_age_days": 52
  }
}
          

// artexion.policy.json

{
  "workflow": "refund_workflow",
  "version": "2.1.0",
  "deny_if": [
    "amount > 1000",
    "order_age_days > 30",
    "refund_amount > order_value"
  ],
  "severity": "block"
}
          

// HTTP 422 — Validation Failed

{
  "status":       "blocked",
  "exec_id":      "exec_8821f3",
  "trace_id":     "trc_f3a8b2",
  "guard_status":  "enforced",
  "latency_ms":   0.9,
  "violations": [
    "refund-bounds: 4200 > 89",
    "policy-window: 52d > 30d"
  ],
  "trace_url": "api.artexion.com/t/exec_8821f3"
}
          

Developer Experience

Easy.
Observable.
Controllable.

REST API, native n8n / Make / Zapier nodes. Artexion fits into your existing stack in 60 seconds.

Easy — Schema Enforcement

guard = artexion.guard(
schema=RefundRequest,
max_amount=1000
)

Observable — Execution Trace

✓ validated schema
✓ policy check passed
✓ risk score: low
✓ execution released

Controllable — Policy Engine

deny_if:
  amount > 1000
  order_age_days > 30
  risk_score > 0.8

Capabilities

Every guarantee,
enforced at runtime.

Execution primitives that production AI systems require — not optional, not eventual, not approximate.

Schema Validation

Task structure and field types validated before execution begins. Malformed plans never produce side effects.

Policy Enforcement

Business rules defined as versioned code. Numeric bounds, date windows, rate limits — all enforced before action.

Hard Runtime Limits

Per-step timeouts, memory caps, and max-step counts. Unbounded loops and runaway agents are impossible by design.

Immutable Trace Log

Append-only execution history. Every decision, every violation, every pass — cryptographically sealed, replay-capable.

Sandbox Isolation

Execution in isolated contexts with explicit permission grants. No ambient access to external systems without declaration.

Failure Containment

Errors surfaced explicitly and contained. Step-level failures never cascade silently into dependent downstream nodes.

Integrations

Fits into your existing stack.

One node in your current workflow engine. Nothing else changes.

⚡

n8n

Native community node. Drag, drop, configure API key.

🔧

Make

Official Make module. Available in the app store.

⚙️

Zapier

Zapier action step. Works in any Zap, any plan.

🔌

REST API

POST /validate. Works anywhere that speaks HTTP.

Built for the next generation of AI systems

AI Agents

Autonomous Workflows

LLM Applications

AI Infrastructure Teams

Production Safety

Compliance Audits

The execution layer between AI reasoning and real-world systems

Build AI systems that
execute safely.

Add one node. Validate every decision. Prevent every hallucinated action. Record every execution. Ship with confidence.

Continue with Google Continue with GitHub Read the Architecture Documentation

10,000 executions/month free No credit card required 60-second setup

The Execution Layerfor AI Agents.