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Human Oversight

HITL Oversight Checklist

6-point review protocol with audit trail — implement in 1 hour

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Features List

6

Review Checkpoints

8

Quality Criteria

1 hour

To Implement

Why Finance and Risk Teams Use This Checklist

Ready Before You Deploy

Most teams add human review as an afterthought. This checklist walks you through every control to put in place before your AI application goes live. Six sections, each with specific tick-box items, take you from workflow design to audit logging in one sitting.

Tier-Matched Requirements

Green, Amber, and Red tier applications don't all need the same controls. This checklist maps HITL requirements to each tier — optional for Green, 15% sampling for Amber, 100% coverage for Red. Your reviewers know exactly what's required for each deployment.

Audit Trail Built In

Section 2.6 specifies 10 mandatory log fields — review ID, timestamp, reviewer ID, decision, rejection reason, and more. Your HITL process leaves a documented record that auditors can trace from output to approval. No improvising when questions come.

Quality Standards with Numbers

Vague review criteria produce inconsistent results. This checklist gives reviewers 8 specific criteria with pass thresholds: factual accuracy at 95%, zero hallucinations, zero PII violations, 100% compliance. Everyone reviews against the same bar.

30-Day Review Built In

Active AI systems drift. The 30-day periodic review checklist keeps your HITL program current — KPI review, rejection trend analysis, golden question updates, reviewer training verification, and log integrity checks, all in one recurring template.

What You Get

  • HITL Implementation Checklist (6 sections)

    The core document. Six structured sections with tick-box items covering every aspect of HITL deployment: workflow design, reviewer roles, review criteria, golden questions, sign-off requirements, and logging.

  • HITL Requirements by Risk Tier

    A reference table mapping Green, Amber, and Red tier applications to their minimum HITL coverage requirements. Green: optional (5% if elected). Amber: 15% sampling, 100% for high-risk. Red: 100% mandatory.

  • Review Criteria Quality Standards Table

    Eight review criteria with verification methods and pass thresholds: factual accuracy (95%), completeness (100%), relevance, tone, compliance (100%), bias detection, data classification (zero violations), hallucination check (zero).

  • Golden Question Registry Template

    A structured template for building and maintaining 20+ benchmark test questions with verified answers, categories, and last-tested dates. Includes scoring guidance and a weekly testing cadence requirement.

  • Sign-off Requirements by Output Type

    A ready-to-use SLA table covering five output types: financial decisions (Senior Manager, 4 hours), legal/compliance content (Legal + Compliance, 24 hours), customer communications (Team Lead, 2 hours), internal reports, and productivity outputs.

  • Mandatory Audit Log Field Specification

    Ten required log fields with format specifications: review_id (UUID), timestamp (ISO 8601), model_id, output_id, reviewer_id, review_decision, rejection_reason, modifications_made, review_duration, and quality_score.

  • Feedback Categories and Escalation Table

    Six feedback categories — accuracy, hallucinations, bias, PII leakage, tone/style, completeness — each with example issues, action thresholds, and escalation owners. PII leakage and bias trigger immediate escalation.

  • Review Decision Workflow

    A five-decision framework for reviewers: Approve, Approve with Edits, Reject, Escalate, and Suspend. Each decision has defined criteria and required action, giving reviewers a clear path for every output they review.

  • 30-Day Periodic Review Checklist

    A 10-item recurring checklist for active production systems. Covers KPI review, rejection trend analysis, reviewer capacity, golden question updates, training verification, feedback loop confirmation, and log integrity validation.

  • Model-Specific HITL Configuration Template

    A fillable configuration template for each GenAI model under HITL oversight. Covers risk tier, requirement level, review coverage target, reviewer assignments, escalation approver, SLA, log retention period, and approval sign-off.

When to Use This Policy

Setting up HITL before first AI deployment

Your team is about to put a GenAI application into production and needs a structured approach to human oversight. Work through the checklist section by section before go-live. It takes under an hour and covers every control your governance policy requires.

Preparing for an internal or external AI audit

Auditors are asking how AI outputs are reviewed before being acted on. This checklist gives you a documented HITL process — reviewer roles, approval authority, audit log fields, and a 30-day review record — to present with confidence.

Onboarding new AI reviewers

You're adding people to your HITL review team and need a consistent standard. Section 2.2 and 2.3 define reviewer qualifications, RACI responsibilities, and the eight quality criteria every reviewer must apply. Training is built into the checklist itself.

Running a 30-day HITL program review

Your AI system has been in production for a month. Use Section 5 to run the full 30-day review: KPIs, rejection trends, reviewer capacity, golden question updates, and log integrity. Sign off and document findings in one structured pass.

Responding to an AI quality or compliance issue

An AI output caused a problem — wrong data, potential bias, or a compliance concern. The escalation procedures in Section 3.3 and feedback taxonomy in Section 2.7 give your team a documented path from detection to resolution and escalation owner.

Common Questions

Your AI Reviewers Need a Protocol. Here It Is.

A complete HITL implementation checklist for finance and risk teams. Free. Updated for 2026.

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