AI Agent Readiness Audit is a practical review for teams building AI agents, RAG workflows, support bots, or tool-using LLM applications. We test whether your system is ready for real users by looking at task success, prompt injection exposure, guardrails, tool permissions, cost, latency, and observability.
This is not a legal compliance certification or a formal penetration test. It is a focused technical review designed to help product and engineering teams find the highest-priority issues before production use.
Not ready to request a manual audit yet? Start with the AI Agent Readiness Self-Assessment for an instant rule-based readiness estimate.
What you get
- A written readiness report with prioritized findings.
- Prompt injection and indirect injection test cases.
- Review of RAG answer quality, citations, and retrieval failure modes where applicable.
- Tool-call and permission-boundary review for agentic workflows.
- Guardrail coverage review: what is blocked, what is missed, and where human approval is required.
- Cost and latency observations based on available traces, logs, or reproducible workflows.
- A 30-day improvement roadmap with concrete engineering actions.
See the broader AI Agent Production Readiness solution, copy the free readiness checklist template, and review the sample audit report before requesting a review.
Best fit
- AI SaaS teams preparing to launch an agent feature.
- Teams using RAG over internal documents or customer-facing knowledge bases.
- Support, sales, or operations teams adding tool-use automation.
- Founders who need a fast, independent review before giving an AI agent more permissions.
Packages
| Package | Price | Scope | Delivery |
|---|---|---|---|
| Starter | $299 | One workflow, limited traces or demo access, concise findings report. | 48 hours after receiving materials. |
| Pro | $799 | Up to three workflows, deeper test set, remediation roadmap, one review call. | 3-5 business days. |
| Team | From $1,500 | Custom scope for production systems, multiple workflows, retest option. | Quoted after intake. |
How the audit works
- Intake: you send the system overview, target workflows, constraints, and safe test access.
- Evaluation: we review traces, run focused test cases, and inspect the permission and guardrail design.
- Report: you receive findings grouped by severity, evidence, and remediation priority.
- Follow-up: Pro and Team packages include review or retest options.
What we need from you
- A short product or workflow description.
- Demo access, screenshots, traces, logs, or sample conversations where available.
- Tool/function schemas and permission model, if your agent can take actions.
- RAG document samples, retrieval outputs, or citation examples, if applicable.
- Clear scope boundaries: what we can test, what we must not touch, and any sensitive data rules.
Request an audit
To request the first available audit slot, email support@ibbs.ai with the subject line AI Agent Readiness Audit request. Include your product URL, the workflow you want reviewed, and which package you are considering.
Payment: We currently confirm scope manually before payment. Supported payment methods may include invoice, PayPal, Wise, bank transfer, or another agreed provider depending on customer location and project scope.
Want to see the deliverable first? Review the sample AI Agent Readiness Audit report.
Production readiness resources
- Free AI Agent Production Readiness Checklist Template
- Free Prompt Injection Test Set for AI Agents
- AI Agent Production Readiness Checklist
- LLM Regression Test Suite: What to Test Before Every Model or Prompt Change
- AI Agent Sandbox Checklist
- AI Agent Tool Permissions Checklist
- AI Agent Secrets Management Checklist
- How to Evaluate an AI Agent: Task Success, Safety, Cost, and Latency
- AI Agent Guardrails: What They Catch, What They Miss, and How to Test Them
- Prompt Injection in RAG and Tool-Using Agents: Threats and Defenses