AI workflow: Multi-bidder comparison

MANUAL

time required

∼10 h
per review

AI

time required

∼ 4 h
per review

AI workflow: Multi-bidder comparison – cluster term sheets + highlight deviations → reach your negotiating position faster

Introduction

When there are several bidders at the table, it is not the one with the longest memo who wins, but the one with the clearest comparison matrix. The bottleneck: conditions differ subtly—and it is easy to overlook "small" clauses with a big impact.

use case

DEALPOINT created:

  • Term sheet extraction: purchase price logic, earn-out, WC mechanism, escrow, W&I, closing conditions
  • Comparison matrixfor all bidders
  • Deviation highlights(“Bidder A: better at X, riskier at Y”)
  • Quotes/referencesin the term sheets/LOIs

Why DEALPOINT DMS works better

  • Everything in the deal workspace:term sheets, emails, attachments, versions—consistent.
  • Rapid iteration:With new versions, the matrix updates itself with traceable change logic.
  • Partner-ready output:Export as memo/slide outline without manual copy errors.

procedure

  1. Mark term sheets/LOIs in the room
  2. DEALPOINT extracts terms and builds the comparison matrix
  3. Team adds negotiation labels (must-have/trade-off)
  4. Export for Steering/Partner/Client

time saving

  • Manual: 4–10 hours (per round, depending on the number of bidders)
  • With DEALPOINT: 1.5–4 hours Review/fine-tuning
    Savings: 2.5–6 hours per round
    For 2–3 rounds: ~5–18 hours

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