A mid-market private equity firm with a portfolio of 14 operating companies was losing a senior associate's week, every month, to portfolio reporting, and the GPs still didn't have a clean view of trends across the book.
Every portfolio company submitted financials in a different format: different chart of accounts, different periods, different definitions of EBITDA, different file types. The 'reconciliation' work was actually an associate manually rebuilding 14 P&Ls into one comparable view, every month. GPs got trends late, and the trends were often wrong because the underlying reconciliation had errors nobody had time to catch. There was no single source of truth for any portco, let alone the portfolio, every conversation about a company started by re-establishing what the numbers even were. Timely portfolio visibility drives everything from add-on capital decisions to LP communications.
DealSage layered an AI reconciliation workflow onto the firm's existing process, no rip-and-replace. Portfolio companies email financials in any format (PDF or Excel) straight to the DealSage agent; Google Gemini extracts, a GPT model structures the data into a deterministic P&L schema (COGS, OPEX, gross profit) with validation, and the platform maintains a single source-of-truth P&L per asset that updates monthly and is queryable in natural language.
Monthly reconciliation time reclaimed across 14 portfolio companies, roughly 42 hours a month, split between the investment team's juniors doing the reconciling (~1.5 hrs per portco) and the portcos' own finance teams prepping data into templates (~1.5 hrs per portco).
From kickoff to live use on real monthly reporting cycles.
GPs moved from reactive cleanup, stepping in only when something was already on fire, to proactively managing the book with no surprises, freeing time to actually talk with portcos and guide them.
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