Frontier3-6 months to build exit readiness engine
AI-Augmented Exit Preparation
AI-powered exit readiness that automates data room preparation, generates sell-side narrative documentation, identifies optimal buyer universe, and predicts timing windows. Compresses months of exit preparation into weeks.
EBITDA Impact
~50% reduction in deck preparation time at Goldman Sachs (industry reporting)
Time to Value
3-6 months to build exit readiness engine
Complexity
Medium
Use Cases
- Pre-exit data room automation and quality assurance
- Sell-side CIM and management presentation generation
- Buyer universe mapping and prioritization
- Exit timing optimization (market conditions, company momentum)
- Vendor due diligence preparation and anticipation of buyer questions
Technology Building Blocks
LLMs for document generation and narrative creationFinancial data extraction and presentation automationBuyer intelligence (M&A databases, strategic priority analysis)Market timing models (interest rates, sector multiples, deal volume)Data room organization and quality scoring
Risks
- Over-polished materials that lose credibility with sophisticated buyers
- AI-generated narratives that don't match management's actual understanding
- Confidentiality risks with AI processing sensitive deal data
- Regulatory compliance with AI-generated financial documents
Case Studies
Goldman Sachs deployed the GS AI Assistant across its investment banking division for drafting pitch decks, financial analysis templates, and deal documentation. The tool now serves approximately 46,500 employees.
Bankers report deck preparation time reduced by approximately 50%, with first-draft pitchbooks assembled in minutes rather than days.
Source: SmartDev / industry reporting (2025)
Grounded In
Bain Exit PreparationBain & Company
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