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Automated Spreadsheet Aggregation & Due Diligence for Financial Analysis

A mid market private equity firm evaluating manufacturing acquisitions, analyzing hundreds of unstandardized financial spreadsheets, historical general ledgers, and trial balance files.

Runs onBodham
financial spreadsheet analysis and due diligence preparation
85%financial spreadsheet analysis and due diligence preparation
accelerated target acquisition assessment cycles
3 weeksaccelerated target acquisition assessment cycles

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

  • Investment associates spent 40 hours per acquisition target manually cleaning, harmonizing, and consolidating messy Excel workbooks from disparate accounting systems.
  • Varying chart of accounts structures and mismatched fiscal calendar columns led to calculation errors during EBITDA normalization.
  • Due diligence timelines were compressed, risking missed bid deadlines or incomplete financial risk assessments.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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1

Instant Multi File Spreadsheet Ingestion

Associates upload unformatted XLSX and CSV files directly into Bodham, which automatically detects data types, headers, and dates.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

  • Financial spreadsheet analysis and due diligence preparation time reduced by 85%.
  • Zero formula calculation discrepancies during investment committee financial reviews.
  • Accelerated target acquisition assessment cycles from 3 weeks to 3 days.

Capabilities this relies on

  • nl to query
  • system connectors
  • workflow orchestration
  • evidence audit trail

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