Give your AI agents a record reviewers can trust
Responsible AI for agents goes beyond checklists and screenshots by connecting every evaluation, scorer, and reviewer decision to a single, reproducible record. Build a defensible RAI workflow with W&B Weave.
Curious where your organization stands? You can download this quick maturity assessment to start the process.
Benefits of mature AI governance
Reduce incident risk by testing agents against adversarial and edge-case scenarios before release.
Ship faster by replacing ad hoc reviews with a repeatable, versioned gate.
Reopen any decision months later with the exact version, prompts, data, and scorers it was based on.
Map to the frameworks you’re accountable to — EU AI Act, NIST AI RMF, HIPAA — without duplicating evidence collection.
How Weights & Biases can help your team
Weave Evaluations
Weave Evaluations lets you run structured, repeatable assessments against curated and adversarial datasets, in the same workspace your team already uses for development.
Weave Guardrails
Weave Guardrails offer pre-built scorers for safety, policy compliance, and quality that run at review time and in production.
Weave Traces
Weave Traces means every agent call is captured automatically, so reviewers see the same trace engineers debug in production.
Governance workflows for AI agents
Generative AI raises the stakes for Responsible AI: outputs are open-ended, behavior is non-deterministic, and failure modes like hallucination and prompt injection didn’t exist for predictive models. This whitepaper walks through how to move from RAI principles to an auditable record, covering the frameworks shaping the field and a five-stage review-gate pattern, demonstrated end-to-end through a clinical triage assistant case study.
