Operations & Compliance

Speak-up and whistleblowing report triage

Triage speak-up reports for severity, category, and required escalation route, detect related reports that indicate a pattern, and track that each is handled within policy timescales.

Decision supportRepetitive judgmentAccuracyTime saving

30–50%

reduction in triage and case tracking effort

Opportunity assessment

Business Impact
2

Minor improvement. Small efficiency gain with limited effect on overall turnover or bottom line.

Feasibility
3

Moderate effort. Requires configuration, prompt engineering, and testing. A capable team can get there but expect several months.

Data Readiness
3

Moderate data needs. Works with data most businesses hold, but will likely need consolidation, cleaning, or reformatting before use.

Risk Exposure
2

High risk. Significant external exposure or regulatory implications. Requires robust oversight and clear accountability.

Change Complexity
4

Light people impact. A new tool slots into an existing workflow. Minimal training needed. Most people will adapt quickly.

Tooling required

Standard LLM

Things to consider

  • Confidentiality is the whole basis of a speak-up channel. Any AI processing must be in a controlled environment with strict access, no training on inputs, and no exposure of report content to general-purpose tooling.

  • Linking apparently unrelated reports is the genuine capability gain — serious issues usually generate several low-severity reports before anyone connects them.

  • Never let the model downgrade severity. It can escalate and it can flag connections, but the floor on severity must be set by policy and by a person.

  • Experiment starter: Run historic reports through pattern detection and check whether any issue that later became serious had earlier related reports that were handled separately.

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