Capability · AI Deployment

One command takes an app the rest of the way

Your teams build in the AI assistant they already use. Helix takes what they built to production on Tray's managed runtime, and applies governance as it ships.

Claude Code

> helix deploy

Managed auth applied (via auth aliases, no secrets)

Registry entry created (visible to IT)

Access scoped (Marketing workgroup)

● Running on Helix · https://apps.tray.ai/campaign-reporter

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Helix handles integration, credentials, deploy, and runtime. Helix

An app that works on someone’s machine is not yet in production. Sitting on a laptop, it is a liability waiting to be discovered. Helix takes an app from any AI coding assistant to a real production deploy and runs it on Tray’s managed runtime, with managed auth, identity, and a registry entry applied along the way. It is built to be easier than the workaround, so builders choose it instead of going around IT.

The last mile is where AI-built apps die

A working prototype is not a production app. The gap between the two is infrastructure nobody on the build side owns.

Infrastructure nobody owns

The person who built the app in Claude Code cannot stand up hosting, TLS, identity, and secrets management. So the app stays on their laptop.

A ticket queue between idea and live

Every deploy becomes a request to a platform team that is already at capacity. Weeks pass, and the business moves on without the app.

Credentials pasted to get moving

When the governed path is slow, builders take the fast one. An API key goes in an environment variable, and nobody records where.

Shipped, then invisible

Apps that do reach production arrive with no owner, no access record, and no place IT can see them.

Vibe-coded to production.
Safely.

A paved road to production

Take an app from an AI coding assistant to a governed production deploy without hand-rolled scripts, copied credentials, or a forgotten server running under someone's desk.

Works from any AI assistant

Build in Claude Code, Codex, Cursor, or another AI assistant. Helix is the deploy path they all share, not a new tool builders have to adopt.

Governance applied at deploy

Managed auth, identity, and the registry entry are applied as the app ships, so governance is the default of going live rather than a cleanup that happens later.

Repeatable, reviewable deploys

Every deploy follows the same path, so IT can review, approve where needed, and reproduce exactly how an app reached production.

Runtime services included

A managed runtime with built-in key-value persistence, so an app has what it needs to run without a builder filing a request for infrastructure.

Optional approval gates

Add an approval step where the risk warrants it and let low-risk apps flow straight through, so control scales with stakes instead of blocking everything equally.

The governed path to production

Helix is how an app built with AI reaches production safely. It is the route that is easier than the workaround, so builders take it on their own and IT gets control without slowing anyone down.

  • Build in Claude Code, Codex, or Cursor
  • Deploy to production through one path
  • Managed auth and identity applied at deploy
  • An app registry entry created automatically
  • Optional approval gates where risk warrants it

Why builders take this path instead of going around it.

Easier than going around it

Control planes fail when routing around them is simpler. Helix is built to be the easiest way to ship, so builders take the governed path by choice, not by mandate.

No workflow change for builders

Builders do not switch tools or learn a platform. They keep building with AI the way they do today and deploy through Helix when it is time to go live.

Governance without a ticket queue

Policy is applied at the deploy path, not through a manual ticket and a human bottleneck, so saying yes does not slow anyone down.

One path for every AI tool

Instead of a different deploy hack per team and per tool, every app built with AI follows the same governed route to production.

From an AI assistant to live software.

Ship a vibe-coded internal tool

A team builds an internal dashboard in Cursor and deploys it through Helix, with managed auth and a registry entry from the first day it is live.

Promote a prototype to production

An app that started as a Claude Code experiment graduates to a governed production deploy without a rewrite or a separate hand-off to engineering.

Replace the rogue deploy

Instead of running on someone's personal cloud account, an app ships through Helix where IT can see, secure, and control it.

Standardize how a team goes live

A team adopts Helix as its default deploy path, so every app it builds with AI follows the same governed route instead of a new workaround each time.

Gate a high-risk app, not all of them

An app that touches customer data gets an approval step, while an internal lookup tool flows straight through, so review effort matches risk.

Redeploy a fix in minutes

When an app needs a change, the builder ships the update through the same path, and the registry entry and managed auth carry forward automatically.

AI Deployment, answered.

Do developers have to change how they build?

No. They keep using their AI coding assistant of choice. Helix is the path they deploy through, not a tool they build in, so there is nothing new to learn before going live.

Won't developers just route around it?

Only if going around is easier, and Helix is designed so it is not. When the governed path is simpler than spinning up a personal server and pasting in credentials, builders choose it on their own.

Is this just a deploy button?

No. The deploy path is where governance is applied: managed auth, identity, and a registry entry all attach as the app ships. The button is the easy surface over real control underneath.

What if an app needs IT sign-off before it goes live?

Add an approval gate on the deploy path for apps that warrant it, and let low-risk apps flow straight through. Control scales with the stakes instead of blocking everything.

Give your builders a path that beats the workaround

See how an app goes from an AI assistant to a governed production deploy.