Reliability engineering

Design for failure before failure chooses the time

Versioned releases, rollback, backup, restoration, acceptance evidence, and a recovery roadmap for managed AI Employees.

Direct answer

Foundry reliability is based on controlled releases, rollback, isolated state, verified backups, restoration testing, and explicit recovery authority—not on unverified promises of zero downtime or zero data loss.

Inside the system

Built around the work that matters

Every capability is tied to a role, a boundary, and a reason to exist.

01Managed pilot

Versioned releases

Identity, configuration, skills, policies, and code move through an identified release rather than ad hoc machine edits.

02Managed pilot

Acceptance evidence

A release earns production responsibility through preflight and role-specific acceptance checks.

03Roadmap

Restore drills

Recovery claims will become measurable only after repeated, evidenced restoration drills.

04Roadmap

Active/passive recovery

The design prevents two copies from holding the same active authority during failover.

Common questions

What buyers ask next

01What is an AI Employee?

An AI Employee is a named, role-based digital worker with a defined mission, connected business systems, documented authority, approval gates, operating memory, and measurable work. It is designed around a job—not around an open-ended chat window.

02Does an AI Employee replace human authority?

No. Cloud Radix defines what the AI Employee may do, what requires approval, and what it is prohibited from doing. Humans retain authority over consequential business decisions.