What diligence looks like when you can see the logic.
Diligenz AI™ is built for different deal teams at different points in a transaction. The workflow varies. The underlying problem does not.
Every team works from imperfect information, in a compressed timeframe, taking on risk they cannot fully quantify with the tools they have.
Buy-side due diligence at a PE firm.
A mid-market PE firm is in exclusivity on a $180M acquisition. The target's three-statement model spans 24 tabs. The deal team has 10 working days before the LOI is finalised.
On the first pass through Model Maestro: a hardcoded revenue line, a working capital assumption that does not reconcile between the balance sheet and cash flow tabs, and a tax rate fixed inconsistently with the company's jurisdiction. None visible from reading the model — all required tracing the logic.
Legal-financial reconciliation on a cross-border transaction.
A corporate legal team runs diligence on a cross-border technology acquisition. The data room holds 340 documents; the model was built by a third-party adviser. No one has checked whether the two are consistent.
Contract Inspector extracts clause-level detail from the SPA, IP assignments, and employment contracts, then cross-references the model. Four discrepancies flag — most critically, the IP assignment excludes pre-cutoff technology while the revenue model attributes full value to it. Caught before signing, not in post-close review.
Growth assumption validation on a sell-side process.
An investment bank runs a sell-side process for a founder-owned business. Management projects 22% revenue growth over three years. The bank needs to know whether the projections are defensible before they go into the CIM.
Deal Scout benchmarks the growth assumption via the Syfter integration. Sector median over three years is 9%; no comparable in the size band has sustained more than 14% over a 36-month window. Not impossible — but a level that needs a specific, identifiable driver to be credible to a sophisticated buyer.
See what your current process is missing.
Use our integrated Diligenz Chatbot to ask high-level questions like “What is the primary driver of this quarter’s growth?” — and get an answer based on traced Excel antecedents.