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About This Automation
Quality assurance review of engineering calculations and reports is a manual, time-intensive process where reviewers verify input data, audit formulas, and check formatting across dozens of submissions monthly.
Automation extracts and validates input data, audits formulas and unit conversions, spot-checks results, and verifies report formatting in parallel. Reviewers receive a detailed audit log and can focus on exception handling and final approval rather than routine verification.
Key features:
Extract and validate input values against source documents and project contracts automatically
Inspect spreadsheet formulas, verify unit conversions, and flag calculation errors with an audit log
Spot-check key results and confirm outputs match documented calculation methods
Validate report structure, heading consistency, table formatting, and figure labelling against company template
Route submissions with findings to reviewers for exception handling and final sign-off
Log all QA decisions and audit trails in a centralized tracker for compliance
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual formula cell inspection
Reviewers spend 45 minutes per submission opening and visually checking each formula, making it difficult to catch logic errors and unit conversion mistakes.
80%
2
Transcription error detection
Comparing input values across multiple source documents and spreadsheets is tedious and error-prone, with mistakes often discovered only after client delivery.
67%
3
Rework cycles and resubmission delays
Engineers must correct issues and resubmit for a second QA pass, extending cycle time to 2-3 days and creating bottlenecks in project delivery.
53%
4
Formatting inconsistencies
Manual checking of report structure, table alignment, and figure labelling is time-consuming and subjective, leading to inconsistent client deliverables.
40%
5
Audit trail and compliance gaps
Tracking QA decisions and maintaining a complete audit log across multiple spreadsheets creates compliance risk and makes it hard to trace error origins.
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 cell-by-cell formula auditing and data verification consume 90 minutes.
8.7/ 10
AI Fit Rating™Data extraction, formula validation, unit conversion checks, and formatting.
9.1/ 10
Automation Lift Index™Automation reduces review time by 77%, cuts rework from 12% to 2%, and enables.
8.7/ 10
Hidden Overhead™Context switching between email, spreadsheets, and shared drives, plus mental.
7.3/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. Report Submitted for QAtrigger
A calculation spreadsheet or report is uploaded to the QA folder or submitted via email. The automation platform detects the new file and extracts metadata.
2. Extract Data and Formulas
The automation reads the spreadsheet, extracts all input values, formulas, and calculated results into a structured format for validation.
3. Validate Input Data
The automation compares extracted input values against source documents and known project parameters, flagging any mismatches or missing data.
4. Audit Formulas and Units
The automation reviews formula structure, checks unit conversions, and validates calculations against documented methods, logging any errors or inconsistencies.
5. Verify Report Structure
The automation checks report formatting, heading consistency, table alignment, and figure labelling against the company template.
6. Generate QA Report
The automation compiles all findings into a structured QA report with pass/fail status, error list, and recommendations.
7. Notify Reviewer and Engineer
The automation sends a summary email to the QA reviewer and project engineer with the QA status, findings, and next steps and.
Everything you need to know before mapping this process.
The automation flags the error with a detailed explanation and audit log, which is routed to the QA reviewer for assessment. The reviewer decides whether to request corrections or reject the submission based on severity.
Microsoft Excel
Gmail
Google Drive
Airtable
Slack