Risk Management | Hokstad Consulting

Risk Management

Blog posts in the Risk Management category

LLM Retries vs Circuit Breakers: Handling API Errors

When to retry LLM API calls, when to open a circuit and how to switch fallbacks safely within shared deadlines and budgets.

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Multi-Agent Consensus: Debate vs Voting

Compare parallel voting and limited debate for multi-agent decisions—use voting for fixed outputs and bounded debate for disputes.

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AI Change Communication Plans: What to Tell and When

Staged messaging for AI pilots to rollout: owners, approvals, audience timing, evidence, and pause rules.

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AI Agent Stagnation: How Progress Checks Catch Stalls

Measure verified results, enforce windowed progress checks and block further calls when AI agents show no measurable improvement.

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AI Champions Support Peer Learning: Roles and Skills

Peer AI champions coach safe, task-focused AI use with clear role limits, protected time and escalation for specialist risks.

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Conditional Parallel Tool Execution: Agent Pattern

Run independent tool calls concurrently with permission checks, timeouts and safe retries to cut latency while preserving state.

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Progressive Perturbation for Backdoor Sample Screening

Flag potential poisoned training samples with controlled, label‑preserving perturbations, calibrated on clean data and routed for human review.

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AI Agent Fan-In: Resolving Conflicting Results

Match fan-in to conflict: rules for structured data, rank evidence for facts, use synthesis for interpretation, and surface uncertainty.

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Chain-of-Verification Prompts: 4 Steps for LLM Checks

Four-step CoVe method: draft claims, create neutral checks, run isolated evidence-based checks and revise with uncertainty noted.

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Self-Consistency Prompts: How Majority Voting Works

Use self-consistency: sample varied LLM answers, normalise final responses, count votes and independently verify the leading answer.

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