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About This Automation
Historical cleanup scoping is the process of reviewing a client's past transaction data to identify missing entries, duplicates, and categorization errors, then estimating the effort needed to fix them.
Automated scoping analyzes transaction data systematically, flags all anomalies with severity levels, and generates a professional scope document in hours instead of days. the team can handle more clients in parallel and deliver more accurate estimates to clients.
Key features:
Scan transaction data automatically to identify duplicates, missing entries, and categorization gaps
Flag anomalies with severity levels so your team prioritizes high-impact issues first
Categorize issues by type and estimate cleanup effort without manual sorting
Generate a professional scope document ready for client presentation
Reduce revision cycles by catching issues upfront that manual review misses
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual transaction scanning
Bookkeeper manually reviews thousands of transactions to find anomalies, consuming 45 minutes per client and missing issues.
80%
2
Duplicate categorization work
Issues must be manually sorted into categories and severity levels, duplicating effort already done during review.
67%
3
Document formatting and compilation
Scope documents are manually assembled from notes and spreadsheets, consuming 35 minutes and introducing formatting inconsistencies.
53%
4
Revision cycles from missed issues
35% of scopes require revisions because initial manual review missed anomalies, extending client approval timelines.
40%
5
Effort estimation guesswork
Cleanup timelines are estimated roughly based on experience rather than systematic analysis of issue volume and complexity.
26%
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Automation readiness
How well-suited this process is for automation
Process Pain Score™Manual scoping is slow, error-prone, and blocks client onboarding; 35% of.
8.4/ 10
AI Fit Rating™Transaction analysis is highly structured and repetitive; automation excels at.
9.1/ 10
Automation Lift Index™Automation reduces scoping time by 73% and improves accuracy to 92%, enabling.
8.7/ 10
Hidden Overhead™Context switching between clients, rework from missed issues, and revision.
7.3/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. New Legacy Client Detectedtrigger
A new client record is created in the accounting system with a start date more than 90 days in the past and unreconciled transaction count exceeding 500. The automation is triggered automatically.
2. Extract Transaction Data
The automation connects to the client's accounting system and exports bank statements, transaction feeds, and ledger data for the historical period into a structured format.
3. Analyze Transactions for Anomalies
The automation reviews the transaction data to identify missing entries, duplicates, unusual amounts, uncategorized items, and reconciliation gaps. Results are flagged with severity levels.
4. Categorize Issues by Type
Issues are automatically sorted into categories such as missing invoices, duplicate entries, incorrect account codes, and reconciliation gaps based on the analysis.
5. Estimate Effort and Timeline
The automation calculates estimated hours to resolve each issue category based on historical data and complexity patterns, then drafts a project timeline.
6. Generate Scope Document
A structured scope document is automatically generated in a standardized format, including client summary, issue breakdown, effort estimates, timeline, and recommended approach.
7. Notify Bookkeeper for Review
The completed scope document is sent to the assigned bookkeeper with a link to review, approve, or request revisions before client delivery.
Everything you need to know before mapping this process.
The automation identifies missing entries, duplicate transactions, unusual amounts, uncategorized items, incorrect account codes, and reconciliation gaps. It flags each issue with a severity level so your team prioritizes high-impact.