Warren — PE Operating Partner Intelligence

🏗️ Company Standup

Build from scratch → operational company

When you're standing up a new portfolio company

📊 Portfolio Operations

Ongoing intelligence → compounding value

When you're optimizing across the portfolio

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Business Case & Market Entry

PKG: Rapid Market Assessment

Validate the thesis before committing capital

Feed: market data, competitor intel, exec vision → Deliver: structured business case

TAM/SAM sizing with bottoms-up validation
Competitive landscape mapping — who's there, who's vulnerable, what's the gap
Go/no-go recommendation with financial framework
Investment thesis stress-testing against market data

📄 Deliverable: Market assessment + competitive positioning + go/no-go recommendation — delivered in hours, not weeks

PKG: Portfolio Company Business Case

Ongoing market intelligence as companies evolve

Recurring: market shifts, competitive moves, portfolio data → continuous intelligence

Market condition monitoring across portfolio verticals
Competitor move detection and impact analysis
Adjacency opportunity identification for portfolio companies
Thesis validation updates as new data emerges

🔄 Deliverable: Living market intelligence brief — updated as conditions change

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Operating Model Design

PKG: Operating Model Blueprint

Design the company before you hire

Feed: exec interviews, org goals, existing processes → Deliver: operational blueprint

Org structure design with role definitions and reporting lines
Process maps for core business operations
Hiring priority sequence — who you need first and why
Operational playbook for the first 6 months

📄 Deliverable: Complete operating model blueprint — org chart, role definitions, process maps, hiring priorities

PKG: Vendor & Technology Selection

Make build/buy/partner decisions with data

Feed: requirements, budget constraints → Deliver: evaluated vendor shortlist

Vendor landscape analysis for each capability gap
Build vs. buy vs. partner economic modeling
Technology stack recommendations per company stage
Contract leverage analysis — what to negotiate hard on

🔄 Deliverable: Vendor shortlist with build/buy/partner recommendations and economic justification

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Financial Architecture & Unit Economics

PKG: Financial Model & Unit Economics

Build the financial engine from Day 1

Feed: revenue assumptions, cost structure, market data → Deliver: investor-ready financials

Revenue model construction with scenario analysis
Unit economics breakdown — CAC, LTV, payback period, contribution margin
Break-even analysis with sensitivity tables
Investor-ready projections with assumption transparency

📄 Deliverable: Financial model + unit economics analysis + investor-ready projections — same day

PKG: Cost Structure Optimization

Find the EBITDA buried in operational inefficiency

Feed: current P&L, operational data → Deliver: cost reduction roadmap

Line-by-line P&L analysis against industry benchmarks
EBITDA improvement modeling — what moves the needle most
Headcount optimization without capability loss
Implementation timeline with phased savings realization

🔄 Deliverable: Cost reduction roadmap + EBITDA improvement model + implementation timeline

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Execution Planning & Resource Allocation

PKG: 100-Day Plan Generation

From strategy to action in hours

Feed: strategy, resources, constraints → Deliver: phased execution plan

Phased 100-day plan with milestones and dependencies
Resource allocation matrix — who does what, when
Risk register with mitigation plans per phase
Decision gates — what needs sign-off before advancing

📄 Deliverable: 100-day execution plan with milestones, dependencies, resource assignments — ready to execute

PKG: Hiring & Team Buildout Plan

Staff the company in the right sequence

Feed: org design, budget, timeline → Deliver: hiring roadmap

Hiring sequence tied to operational milestones
Job descriptions calibrated to stage and market
Interview frameworks per role — what to evaluate, how to score
Onboarding plans so new hires produce value in Week 1

🔄 Deliverable: Hiring sequence + JDs + interview frameworks + onboarding plans

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Portfolio Intelligence & Ongoing Operations

PKG: Portfolio Company Dashboard

See everything, miss nothing

Ongoing: KPIs, financials, milestones → Deliver: real-time portfolio view

Real-time KPI tracking across all portfolio companies
Variance detection — flagged before the board meeting, not during
Milestone tracking against 100-day plans
Cross-company pattern recognition — what's working where

📄 Deliverable: Live portfolio dashboard with automated variance detection and alerts

PKG: Board & Investor Reporting

Board packages that write themselves

Recurring: operational data → Deliver: board-ready reporting packages

Automated board deck generation from operational data
Investor update drafts with narrative and metrics
Quarterly performance summaries with trend analysis
Ad-hoc reporting for LP requests — minutes, not days

🔄 Deliverable: Board-ready reporting packages + investor updates — generated on demand

How It Works

Four steps from first conversation to operational output. Warren works alongside you — your expertise directs, Warren executes.

Intake

Share your company thesis, market data, exec team profiles, and any existing assets. Warren ingests everything.

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Discovery Session

30–60 min recorded session. Warren listens, extracts operational requirements, and identifies the highest-value targets.

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Same-Day Delivery

Warren builds your structured plan, financial models, and operational blueprints — same day as the discovery session.

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Operator Sign-Off

You review, correct, refine. Phase gates ensure nothing advances without your approval. Warren adapts and iterates.

Engagement Process

Every engagement combines deterministic steps (always happen, guaranteed outputs) with probabilistic methods (Warren adapts to your specific context). Not scripted, not freeform — the right mix.

Design Principle: Deterministic Outcomes + Probabilistic Methods

Set deterministic triggers for outcomes — what must be produced, what gates must be passed, what you receive. Let probabilistic capabilities figure out how — which questions to ask, how to extract insights, what patterns to surface from your unique situation.

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Thesis Validation & Market Entry

🔒 Deterministic Steps (always happen)

Intake checklist: company thesis, target market, competitive landscape, available capital, timeline constraints
Discovery session: 30–60 min recorded with the operator. Transcribe and extract.
TAM/SAM analysis: bottoms-up market sizing with data sources cited
Competitive positioning map: where you fit, where the gaps are
Go/no-go recommendation: structured business case with financial projections
Operator review: walk through deliverables, capture corrections

🎯 Probabilistic Methods (Warren adapts)

Question selection: Warren picks the highest-signal questions based on your industry, stage, and stated goals
Market pattern matching: cross-reference against analogous company formations to surface relevant playbooks
Financial model calibration: choose the right margin, cost, and timeline assumptions based on your vertical
Blind spot detection: identify market risks or opportunities the operator hasn't considered

✅ Phase Gate: Operator confirms business case → market entry validated → top priorities selected for operating model design

🏛️

Operating Model & Financial Architecture

🔒 Deterministic Steps (always happen)

Org design: structure, roles, reporting lines, decision rights
Process mapping: core operational workflows from customer to cash
Financial model: revenue assumptions, cost structure, unit economics, break-even
Vendor/technology assessment: build vs. buy vs. partner for each capability
Hiring priority matrix: who, when, why, in what order
Operator review: validate model against your experience and domain knowledge

🎯 Probabilistic Methods (Warren adapts)

Org pattern optimization: recommend structures based on industry, scale, and operator's management style
Cost benchmarking: calibrate financial assumptions against comparable companies at similar stage
Risk pattern surfacing: flag operating model decisions that historically create problems at scale
Lean-start identification: find the smallest team and lowest cost structure that validates the business

✅ Phase Gate: Operating model approved → financial architecture validated → ready for execution planning

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Execution Planning & 100-Day Buildout

🔒 Deterministic Steps (always happen)

100-day plan: phased milestones, dependencies, resource assignments
Hiring roadmap: JDs, interview frameworks, onboarding plans for each role
Vendor engagement plan: RFP support, contract terms, negotiation points
Risk register: what could go wrong, mitigation plan per risk
Decision gate calendar: what needs sign-off, by when, by whom
Kickoff brief: one-page summary for the execution team

🎯 Probabilistic Methods (Warren adapts)

Sequencing optimization: arrange tasks to minimize idle time and maximize parallel execution
Buffer calibration: add appropriate slack based on risk profile — high-risk items get more buffer
Scenario modeling: "What if this hire takes 6 weeks longer?" — cascade impact analysis
Quick-win identification: find 2-3 actions in the first 30 days that create visible momentum

✅ Phase Gate: 100-day plan approved → resources allocated → execution begins with clear accountability

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Portfolio Intelligence & Ongoing Operations

🔒 Deterministic Steps (always happen)

KPI framework: define, track, and report metrics per portfolio company
Board reporting: automated board deck generation from operational data
Variance detection: flag KPIs trending off-plan before they become problems
Cross-portfolio analysis: identify patterns, share playbooks, surface synergies
Investor updates: draft LP communications with narrative and metrics

🎯 Probabilistic Methods (Warren adapts)

Anomaly detection: surface unexpected patterns in financial or operational data
Narrative generation: translate raw metrics into the story the board needs to hear
Opportunity correlation: when one company learns something, identify which others benefit
Intervention timing: recommend when to engage deeply vs. let the team run

✅ Ongoing: Continuous monitoring → operator-triggered deep dives → quarterly portfolio reviews