Skip to main content

Enterprise Platform

Configure enterprise data with visibility and control

Manage models, rules and permissions, with tools to review model changes and understand rule impact.

The capability

Make configuration understandable

Model and rule changes affect how enterprise data is managed. Administrators need visibility into those changes and clear controls over access.

Autonera provides configurable data models, model snapshots and differences, rule previews and role-based permissions. These support informed administration without treating every change as an isolated manual task.

Problems it solves

Where this work usually breaks down

01

Unclear rule impact

Teams need to understand which records a proposed rule affects.

02

Untracked model changes

Administrators need a way to review how a model has changed.

Functional capabilities

What Enterprise Administration & Configuration includes

AI policies and provider controls
Review effective policies and their history by scope, and configure AI providers and features, including OpenAI and Anthropic adapters.
AI budgets and usage
Set budgets and alerts, inspect a usage ledger by user, feature, Mission and model, and export audit evidence.
Model configuration
Manage entities, attributes and relationships.
Model snapshots
Review model differences and restore model snapshots.
Rule previews
Review affected-record counts before activating validation rules.
Access controls
Manage roles and domain or attribute permissions.

How it works

Explore administration controls

Choose an area to see its configuration and review tools.

Data models

Configure entities and attributes. Review model snapshots and their differences.

Model snapshots and impact analysis

In industrial operations

A team reviews a new product validation rule

Administrators need to understand the impact before activating a rule.

  1. Define the validation rule.
  2. Review affected-record counts.
  3. Review the proposed change with its owner.
  4. Activate the agreed rule.

Result: The team understands the rule's impact before applying it.

Autonomous operations

How autonomous execution changes enterprise administration & configuration

People configure the policies and permissions within which autonomous operations execute.

Agents carry out

  • Apply configured rules during operations
  • Record execution evidence

People decide

  • Own model and rule definitions
  • Review impact
  • Manage access

Evidence recorded

  • Model snapshots
  • Rule previews
  • Audit records

Buyer FAQs

Questions evaluators ask

How is AI use administered?

AI Governance combines scoped policies and their history, provider and feature configuration, prompt and privacy policies, budgets and alerts. A usage ledger records calls by user, feature, Mission and model, with audit export.

Does model restoration mean a full environment rollback?

No. Model snapshot restoration concerns the data model, not a release pipeline for all platform configuration.

Who sets the operating controls?

People define the models, validation rules and permissions used by governed operations.

Can model changes be reviewed?

Model snapshots, differences and impact analysis support reviewing changes to data models.

Can rules be checked before activation?

The validation rule builder provides affected-record previews before activation.

How is access controlled?

Roles and domain or attribute permissions define access.

Your next step

See Enterprise Administration & Configuration on data like yours.

Bring a real file, catalog or record set. We will walk through how Autonera would handle it and where your team keeps the final say.

Book a Demo