Building trust infrastructure for AI agent execution.

Agents can act. But can you prove what they did?

We're building Luai — a deterministic execution layer for AI-generated workflows, with policy controls and audit-ready traces.

luai trace — payment-approval-workflow
10:42:01 ▶ workflow.start payment-approval-workflow
10:42:01 ● policy.check PASS amount ≤ $10,000 threshold
10:42:02 ▶ action.execute initiate_bank_transfer
10:42:03 ● policy.check PASS recipient in approved-vendors list
10:42:04 ✓ action.complete transfer $4,200 → Acme Corp
10:42:04 ■ transcript.sealed hash: a3f8c2…e91d — audit-ready

The Problem

Agent execution is a black box

Enterprises can deploy agents, but production trust breaks on execution:

Actions are hard to govern in real time

Failures are hard to replay and debug

Audit evidence is incomplete or inconsistent

High-risk workflows still require manual fallback

If AI can move money, modify systems, or execute operations, execution must be controlled and verifiable.

The Solution

Meet Luai

An execution assurance layer for agent actions.

Currently in development

Policy-gated execution

Enforce controls before sensitive actions run.

Deterministic transcripts

Full replay and root-cause analysis of every action.

Reliability controls

Retries, recovery, and safe failure handling built in.

Audit-ready evidence

Complete compliance and governance trails from day one.

Built for high-stakes workflows where trust matters more than demo speed.

Who It's For

Built for teams running real agent workflows

AI Platform teams
Security / Governance teams
Finance & Operations leaders
Compliance and audit stakeholders

Use cases: payment approvals, IT runbooks, reconciliation workflows, and other risk-sensitive automations.

Why Now

Agent adoption is accelerating, but execution assurance is fragmented.

The next wave of agent products will be won on control, reliability, and provability — not orchestration alone.

Design Partner Program

Become a design partner

We're working with a small set of teams building high-stakes agent workflows.

As a design partner, you get:

  • Early product access
  • Direct roadmap input
  • Implementation support
  • Priority onboarding

Frequently asked questions

No. Luai is being designed to sit between orchestration and action execution.

Core runtime components are planned to be open, with commercial infrastructure for enterprise controls and governance.

Currently in implementation. Join the design partner list for early access.

High-consequence operations: financial actions, system changes, and compliance-sensitive tasks.

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