- name
- olo-deal-memo
- version
- 1.0.0
- description
- Investment memorandum generation for M&A — structured deal write-ups from the acquirer's perspective with data-backed analysis
- author
- ololand.ai
- author_url
- https://ololand.ai
- license
- MIT
- triggers
- tags
Investment Memorandum Generation
Generate structured investment memos from the acquiring company's perspective.
Perspective
- Written for the acquiring company (use "we" for acquirer)
- Written about the target company (use company name or "the target")
- Align with acquirer's investment thesis and acquisition strategy
- Present balanced view: opportunity AND risk
Memo Structure
1. Executive Summary (1 page)
- Transaction overview: target name, sector, deal size, structure
- Strategic rationale in 3-4 bullet points
- Key financial metrics (revenue, EBITDA, growth, valuation)
- Recommendation: Proceed / Proceed with Conditions / Pass
2. Company Overview
- Business description and history
- Products/services and revenue mix
- Customer base (count, concentration, retention)
- Management team assessment
- Organizational structure and headcount
3. Market & Competitive Position
- Industry overview and growth outlook (reference market intelligence)
- Competitive landscape and target's positioning
- Sustainable competitive advantages (moats)
- Key risks to market position
4. Financial Analysis
- Historical financials (3-5 years): revenue, EBITDA, margins, FCF
- Revenue quality: recurring %, customer concentration, cohort analysis
- Working capital dynamics and cash conversion
- CapEx requirements and capital intensity
- Key financial trends and inflection points
5. Valuation
- DCF analysis (base/bull/bear cases)
- Comparable company analysis (public comps)
- Precedent transaction analysis
- Implied valuation range and recommended offer price
- Sensitivity analysis on key assumptions
6. Strategic Rationale & Synergies
- Revenue synergies (cross-sell, market expansion, pricing)
- Cost synergies (overlap elimination, procurement, shared services)
- Timeline to achieve synergies (Year 1 / Year 2 / Year 3)
- Integration complexity and risk assessment
- Synergy value vs. premium paid analysis
7. Risk Assessment
- Deal-specific risks (top 5, ranked by impact × likelihood)
- Mitigation strategies for each risk
- Deal-breaker thresholds
- Sensitivity of returns to key risk scenarios
8. Transaction Structure & Returns
- Proposed structure (asset vs. stock, cash vs. equity mix)
- Sources and uses of funds
- Pro forma leverage and coverage ratios
- Expected returns: IRR, MOIC, payback period
- Key assumptions driving returns
9. Recommendation & Next Steps
- Clear recommendation with confidence level
- Conditions or diligence items to resolve
- Proposed timeline for next phase
- Required approvals and process steps
Data Aggregation Strategy
- Pull existing DD data from platform (fast, <1s)
- Fill gaps with RAG queries over uploaded documents (medium, ~3s)
- Augment with market context via web research (slower, ~5s)
- Synthesize into narrative sections with AI (~5-10s)
Quality Standards
- Every claim backed by data point with source
- Financial figures must reconcile across sections
- Clearly separate facts from assumptions from opinions
- Use conditional language for projections ("we estimate", "management projects")
- Flag data gaps explicitly rather than filling with generic text
- Total generation target: 15-20 seconds
Output Formats
- Markdown: Primary format for platform display and editing
- PDF: Professional layout for IC distribution
- PPTX: Presentation format for deal committee meetings
- Excel: Supporting financial model and sensitivity tables