Agentic Risk Analyst

What could go wrong with this AI use case, and what should we do about it?

Chirag Dani · ARA v3.2.1
LLM: huggingface · meta-llama/Llama-3.3-70B-Instruct · Secure-RAG: connected

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Run the same scenario through the full pipeline on two to four models and see whether they reach the same decision and residual risk. Agreement is a useful signal of how stable a conclusion is; disagreement marks items for human review.

Samples: Autonomous loan approval (Australia)AI-assisted AML transaction monitoringGenerative AI chatbot for internal HR policyAutonomous incident-response agent (SOC)

Each model runs the whole pipeline (about six model calls), one model after another, so this can take several minutes.

Decision support only, not legal or regulatory advice. AI-generated ratings and citations must be reviewed by a qualified person before they are relied on.