AI operations and security

Ship safer AI workflows without rebuilding the controls from scratch.

Move one workflow from experiment to a source-grounded, permission-aware, testable pilot. Start free, then add only the implementation depth your team actually needs.

  • Source-grounded
  • Approval-gated
  • Evaluation-ready
Pilot control planeReviewable
01ScopeOne workflow
02GroundOwned sources
03GuardLeast privilege
04EvaluatePass criteria
05PilotRollback ready
01

Unowned sources

Answers look useful, but nobody can explain who approved the source or when it expires.

02

Permission sprawl

Read, draft, and write capabilities are mixed before the workflow earns that level of trust.

03

No release gate

Prompt and model changes ship without repeatable cases or zero-tolerance failure criteria.

Choose your build depth

Start small. Add control when the workflow proves useful.

The free route proves the operating method. The flagship route delivers the complete build, evaluation, and rollout system.

How the work becomes repeatable

A release path with visible gates.

  1. 01
    Prove one workflow

    Define the user, approved sources, prohibited actions, and completion criteria.

  2. 02
    Separate capability levels

    Keep reads, drafts, approvals, and denied writes explicit and testable.

  3. 03
    Release with evidence

    Run evaluations, review failures, record the version, and keep rollback ready.

Need help choosing?

Bring us the blocker. We’ll point you to the smallest useful next step.

Talk through the use case