DiligenceFlow: Automated General Ledger Mapping for LMM Deal Teams

In the lower middle market (LMM), deal teams are extremely lean (often 1-2 people). These individuals are responsible for complex financial diligence. The 'grunt work' involves taking messy accounting exports from target companies (who often have poor bookkeeping) and turning them into a 'Quality of Earnings' (QofE) report. This process is highly manual, repetitive, and currently being outsourced to offshore teams because it is too bandwidth-intensive for US-based associates.

• Primary: Investment Associates and VPs at boutique Private Equity funds.
• Secondary: Solo CPA practitioners who provide fractional CFO or diligence services to M&A buyers.

Source discussions highlight that these teams are "often 1-2 person teams, sometimes 3-4 at most." The reliance on offshore teams for "Financial Diligence and CFO services" indicates a desperate need for scale that human capital alone isn't solving efficiently. The frequency of the 'lean team' complaint (23 mentions) suggests a systemic resource gap.

DiligenceFlow Lite: A web-based tool where a user uploads a General Ledger (GL) export. The software uses a pre-trained mapping engine to:

1. Categorize all accounts into standard EBITDA categories (Revenue, COGS, OpEx, etc.).
2. Detect and flag 'potential adjustments' (e.g., owner personal expenses, one-off legal fees).
3. Export a clean, formatted Excel 'Bridge' chart that the associate can drop into their investment memo.

For an Associate, this is a 'quality of life' purchase. Saving 10-20 hours of manual Excel mapping per deal allows them to focus on actual deal analysis and sourcing. For the fund, it reduces the need for expensive third-party consultants or the security risks associated with offshoring sensitive financial data.

Moderate. The core challenge is the variety of accounting data formats. However, modern LLMs (GPT-4o/Claude 3.5) are exceptionally good at mapping messy strings (account names) to standardized categories, which was previously a hard deterministic coding problem. A solo dev can build the wrapper around these APIs in weeks.

There are thousands of LMM PE funds and boutique M&A firms. 100 subscribers at $20/month is a very conservative floor ($2k MRR). In reality, this product could easily command $100-$300/month/seat or a $500 'per-deal' fee, as it replaces thousands of dollars in consulting or offshoring costs. Reaching $20k-$50k MRR is plausible if the tool becomes the standard 'first step' in LMM diligence.