What does the AI Agent Production Readiness Test measure?

It measures whether an enterprise AI agent is safe to let act in production, not only whether it can complete a task. The score covers decision validity, policy compliance, authority, tool action safety, and auditability.

Why is 80 the production-grade threshold?

A score below 80 usually means at least one control layer is still reactive, manual, or prompt-based. Production-grade agents need pre-execution controls that can approve, block, escalate, and trace actions before they affect systems or customers.

Do I need to enter an email to see my score?

No. The score appears immediately. Email is only used when you request the remediation plan or want Rippletide to help benchmark a high-risk workflow.

How does Rippletide help improve the score?

Rippletide builds the decision reference with Automatic Ontologies, then enforces proposed agent actions through a decision runtime before execution. That improves decision validity, policy compliance, authority checks, and auditability.

AI Agent Production Readiness Test

The gap

Your agent can answer. Can it act?

Enterprise reliability is not just model quality. It is the ability to authorize the right action, in the right context, before execution. Use this scorecard on the workflow where a wrong action would create customer, compliance, security, or operational risk.

Interactive scorecard

Score your agent in 10 questions

Answer based on the highest-risk workflow you want an AI agent to run. The score updates immediately.

01Validity

Current context

Can the agent decide whether an action is valid for this account, contract, ticket, case, or environment right now?

02Validity

Conflicting evidence

Can it detect conflicting facts, stale documentation, or contradictory precedents before deciding?

03Policy

Rules outside prompts

Are the business rules and policies represented outside the prompt, in a controlled system the agent cannot casually ignore?

04Policy

Policy updates

Can a policy change update agent behavior without rewriting prompts, retraining, or relying on manual reminders?

05Authority

Permission before action

Is authority checked before the tool call, workflow update, code change, refund, escalation, or external commitment happens?

06Authority

Human review threshold

Can the agent route actions to human review when confidence, amount, risk, jurisdiction, or policy scope requires it?

07Actions

Pre-execution blocking

Can unsafe or unauthorized actions be blocked before execution, rather than detected later in logs or monitoring?

08Actions

Blast-radius control

Are actions scoped, reversible, rate-limited, or staged when the potential production impact is high?

09Audit

Why this decision

Can you prove why the agent took or did not take a specific action, with the rules and facts it used?

10Audit

Source-backed trace

Is every critical decision traceable to source data, policy versions, timestamps, and the identity of the agent or service?

How to read the score

Production-grade starts at 80

Below 80, the agent may be useful, but one or more controls are still reactive, manual, or prompt-based. Rippletide helps teams move above that threshold by turning business rules into enforceable decisions before the agent acts.

0-49

Demo Agent

Experiments only.

50-69

Monitored Agent

Failures are visible after the fact.

70-84

Governed Agent

Close, but not yet fully provable.

85-100

Production-grade Candidate

Ready for adversarial validation.