M&A / Private Markets Finance & Banking
Axial

Axial

AI Deal Screening & Transaction Data QA

The challenge

Axial's deal team was spending hours each week on manual screening and messy transaction records. We built two internal platforms: an AI deal screener that generates rationales and syncs to Salesforce, Slack, and Google Slides in a single click, and a QA engine that catches duplicates and validates every field across their deal database.

How we built it

We built two distinct internal platforms: a deal screening tool that generates AI rationales and summaries with one-click Salesforce sync and Google Slides export, and a transaction QA engine that runs fuzzy matching and field-level validation across deal records. Both were built to slot directly into Axial's existing workflows so deal analysts could get faster outputs without changing how they operated day-to-day.

How the system works

The actual AI architecture we designed and shipped for Axial.

Axial AI system architecture diagram

Specifically, what we built

  • AI-generated investment rationales, deal summaries, and tags
  • One-click Slack sign-off, Salesforce sync, and Google Slides decks
  • Duplicate detection, fuzzy matching, and confidence scoring
  • Field-level validation, enrichment, and QA dashboards

The measured impact

  • 50-60% reduction in manual deal screening
  • 70-80% faster generation of summaries and presentation-ready outputs
  • 40-60% improvement in transaction data QA efficiency

Key result

70-80%

faster rationales, summaries & decks

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Client

Axial

M&A / Private Markets