Free tools for AI agent teams

Estimate the financial return on a production AI agent deployment: time saved, deflection rates, cost-to-serve impact, and net annualized value.

Generate an AI acceptable-use and governance policy from your industry, scale, and risk tolerance.

A purpose-built security and AI governance questionnaire to send to AI vendors during procurement.

Build an agent-specific audit readiness checklist for SOC 2, ISO 42001, HIPAA, or EU AI Act scoping.

Starter eval suite template for a production agent — input categories, scoring rubrics, dataset structure.

20-question assessment of your agent observability practice — produces a maturity score and recommended next steps.

A structured template aligned to NIST AI RMF for assessing a specific agent's risk before production launch.

Total cost of ownership for production AI agents — LLM spend, infra, observability, eval, security, compliance, and engineering time.

Quickly determine whether your agent qualifies as prohibited, high-risk, limited-risk, or minimal-risk under the EU AI Act, and what controls apply.

Estimate monthly LLM costs from your token volume, model mix, and prompt caching ratio across OpenAI, Anthropic, Google, and Bedrock.

Compare LLM model costs across providers for your specific workload patterns; recommend cheaper substitutes with quality caveats.

Run your agent against a battery of public prompt-injection patterns and see which it falls for.