AI workflow: Risk assessment

MANUAL

time required

∼15 h
per reporting

AI

time required

∼ 6 h
per reporting

AI workflow: Risk assessment

Introduction

The red flag memo determines speed: management, IC, buyers, and lawyers want a clear list of risks—not 5 GB of documents. The hard work is consolidatingfindings, substantiatingthem, and prioritizing them.

use case

DEALPOINT created:

  • Folder/topic summaries(corporate, HR, IP, finance, compliance, litigation, etc.)
  • Red flag suggestions(with severity assessment according to your rules)
  • Issue Tracker: Risk → Evidence → Owner → Status → Next question
  • Cited referencesper finding
  • Optional: Executive Snapshot(Top 10 risks + "deal blockers" + open documents)

Why DEALPOINT DMS works better

  • Context from the data room:Findings are based on the actual inventory, including versions.
  • Clean evidence chain:Each statement is linked to its source—ideal for partner reviews and buyer communication.
  • Less duplication of work:Findings, Q&A, and memos are interlinked (find once → use everywhere).
  • Human-in-the-loop:AI provides structure and suggestions, the team makes the decisions.

procedure

  1. Select topics (DD checklist)
  2. DEALPOINT generates summaries + red flags + trackers
  3. Reviewer prioritizes, adds measures/to-dos
  4. Export as memo (DOCX/PDF) and further processing in Slides/IC

time saving

  • Manual: 6–15 hours per reporting iteration
  • With DEALPOINT: 2–6 hours review/fine-tuning
    Savings: 4–9 hours per iteration
    For 2–3 iterations (mid-DD, pre-IC, final): ~8–27 hoursper deal

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