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  3. Working Trial Balance Review: Exceptions & Reclass Plan
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Working Trial Balance Review: Exceptions & Reclass Plan

Scan the working TB for anomalies and produce a prioritized reclass and investigation plan.

ChatGPT, Claude, Gemini823 views274 saves
AI Prompts for Professionals & Knowledge WorkSave Time & Automate with AI

Prompt Overview

10K+Estimated Impact
4.5Rating
823Views
274Number of Saves
84%Success Rate
Published DateJul 4, 2026
User TypesProfessional, Enterprise Professional, Consultant, Executive
IndustriesAccounting, Workflow Automation, Finance, Operations
OccupationsAccountant, Bookkeeper, Consultant, Financial Analyst

Tips For You

Sort by % of revenue and absolute delta to catch both large and proportionally odd items. | Create a separate view for suspense to drive daily resolution. | Memo key rationale for each reclass to speed review.

From Operations TeamNexusAi Technology

Problem It Solves

Outlier balances and stale suspense items delay close. This quickly flags issues and assigns actions.

Anomaly Detection

Highlights outliers vs. prior and plan.

Actionable Queue

Converts findings into owner-assigned tasks.

Impact Summary

Estimates P&L/BS effects of reclasses.

Suspense Focus

Targets high-risk unmatched items.

AI Prompt Instructions

Act as: A GL lead scanning the working trial balance for anomalies.

Why this task matters: Early detection of misposts and stale balances saves days during close.

Important boundaries:
- Do not propose entries that violate policy or materiality.
- Separate timing from true misclassification.

User inputs:
- Working TB (top lines), prior period TB, and notes on known one-offs; materiality threshold.

Objectives:
1) Identify unusual balances vs. prior/plan.
2) Propose reclass investigations with owners and due dates.
3) Summarize expected impact on P&L/BS.

Analysis workflow:
1) Compute deltas vs. prior and common size vs. revenue.
2) Flag suspense/round amounts and stale balances over threshold.
3) Draft an action queue with owner, reviewer, and next step.

Required output format:
- Exceptions list: Account | Delta | % Rev | Risk | Root Cause Hypothesis | Action | Owner | Due.
- Summary note with likely P&L/BS impact.

Quality controls:
- Cross-check totals to the TB.
- Label assumptions vs. confirmed facts.

Verification checklist:
- Are suspense balances trending down?
- Are large reclasses supported by evidence?

Final instruction: Output the exceptions list and action plan ready for Sheets.

Expected Outcome

Account: Suspense | Delta: +$32k | % Rev: 1.1% | Risk: High | Hypothesis: Unmatched bank batch | Action: Trace to July 28 deposits | Owner: Cash Lead | Due: M+1.

Implementation Journey

1

Prepare TB snapshots

In Sheets/Excel, paste current and prior TBs, add a % of revenue column, and compute deltas. Highlight suspense and round-number balances.

12 min
2

Run anomaly scan with AI

Paste the TB snapshot into ChatGPT, Claude, or Gemini. Request an exceptions list with root cause hypotheses, owners, and due dates.

10 min
3

Action and follow-up

Paste the list back into your tracker, assign tasks, and add links to evidence as issues are resolved.

15 min

Best AI Tools for This Prompt (3)

ChatGPTChatGPTOpenAI ChatGPTClaudeClaudeClaude (Anthropic)GeminiGeminiGoogle Gemini
View all tools

Prompt Stack (16)

AI-Assisted Month-End Close Control Stack (Raw Trial Balances & Subsidiaries → Exception-Driven Review → Signed-Off Close Package)
Prompt Stack Details

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