FOR AI PLATFORM TEAMS

# Give AI platform teams a shared system record .

Viorant gives AI platform teams a neutral way to define complete AI systems, preserve meaningful components as signed, versioned artifacts, and carry the resulting system definition into supported deployment workflows.

[Explore Viorant Hub →](/hub)[Talk to Viorant →](/contact)

Editorial visual for AI platform teams

AI SYSTEM RECORD

01

Artifacts Signed, versioned system parts

02

.vio Portable system composition

03

Supported target Explicit transformation or deployment choice

WHAT THIS MAKES POSSIBLE

## Make the AI system easier to understand .

01

### Create a durable boundary

Compose the instructions, tools, policies, evaluations, and target choices that belong together into a portable `.vio` system definition.

02

### Make handoffs legible

Give application teams a shared record of what a system contains and how its components relate without making one runtime the source of truth.

03

### Keep evidence connected

Use Trust where verification is part of the workflow to check artifact identity, integrity, provenance, signatures, and stated evidence.

USE CASES

## Put the system record to work .

Three practical ways ai platform teams can use a declared AI system boundary to move a real decision forward.

01 USE CASE

### Create a reusable intake for a new AI capability

Situation. A product team wants platform help, but its model, prompts, tools, policies, and intended environment live in separate tickets and repositories.

Use the intake to establish a declared system boundary before the work is handed to another team.

- 01 Identify the meaningful components the team is asking the platform to support as distinct artifacts.

- 02 Compose the proposed system, its relationships, and its stated deployment choices in `.vio`.

- 03 Use the definition as the shared object for platform review before selecting an explicitly supported next target.

Review point. Can every team describe the same intended system without rebuilding context from the intake?

02 USE CASE

### Review a cross-team release boundary

Situation. A release now involves a platform owner, an application team, and an operations team, each holding only part of the context.

Give the release discussion one portable definition rather than a chain of partial handoffs.

- 01 Ask each owner to identify the artifacts and declared evidence that belong to the release.

- 02 Review the composed `.vio` definition for missing relationships, ownership gaps, and stated target choices.

- 03 Verify relevant artifact evidence with Trust where the release process calls for it.

Review point. Is the boundary that moves between teams explicit enough to be reviewed independently of any one runtime?

03 USE CASE

### Transfer a platform pattern to another application team

Situation. A proven system pattern is being adapted by a second team that must understand the original composition without inheriting hidden assumptions.

Use the original definition as a visible starting point for a controlled adaptation.

- 01 Keep the source components as identifiable artifacts instead of copying them into an opaque bundle.

- 02 Fork or compose the `.vio` definition for the new team’s declared system boundary.

- 03 Make any different evidence or supported-target decision part of the new review.

Review point. What is shared, what changed, and who owns the newly declared system?

THE DEPLOYMENT PATH

## From system parts to a supported target .

A `.vio` definition keeps the complete AI system composition legible through the next workflow decision.

- 01

Keep meaningful system parts as signed, versioned artifacts.

- 02

Compose the parts and deployment choices in a `.vio` definition.

- 03

Verify stated artifact evidence with Trust when your process requires it.

- 04

Use Helix to transform and deploy the definition to a supported target.

THE VIORANT SYSTEM

## Use the surfaces that fit your workflow .

[Hub Optional local-first workspace for working with artifacts and definitions. →](/hub)[.vio Portable composition of the complete AI system. →](/vio)[Trust Verification of stated artifact identity and evidence. →](/trust)[Helix Transformation and deployment for supported targets. →](/helix)

QUESTIONS, ANSWERED

## For AI platform teams .

01 What can a platform team define in `.vio`? +

A `.vio` definition can express the complete AI system composition: the artifacts that belong together, their declared relationships, and the deployment choices made for the system.

02 Does Viorant require a central runtime? +

No. The standard is neutral. Hub and other Viorant services are optional surfaces around the portable system definition.

03 How does this help application teams? +

It gives teams a common system record to review, discuss, verify, and prepare for supported deployment paths.

AI DEPLOYMENT INFRASTRUCTURE

## Start with a system record your team can review .

Explore the local-first Hub workspace or talk with Viorant about the deployment path you are considering.

[Download the Hub →](/download)[Talk to Viorant →](/contact)
