The Team

Diagnoses private company financial health across five analytical lenses — from cash and margins to capital efficiency and growth quality.

• ·Five-lens diagnostic framework (liquidity, profitability, cash generation, capital efficiency, growth)
• ·DuPont decomposition and owner normalization & EBITDA adjustments
• ·Three-scenario financial outlook (base / stressed / recovery)

Unlocks trapped cash by decomposing every AR, inventory, and AP lever — quantified in dollars, not percentages.

• ·Cash Conversion Cycle (CCC) decomposition and peer benchmarking
• ·Inventory ABC/XYZ segmentation and safety stock calibration
• ·Cash release waterfall construction with dollar quantification per lever

Assesses and rebuilds finance functions across all eight domains — from close cycle to FP&A to strategic business partnering.

• ·CFO function assessment across 8 domains (planning, reporting, controls, treasury, FP&A, business partnering, technology, org)
• ·Finance maturity scoring and benchmarking against industry peers
• ·Finance transformation roadmap with SOW generation

Builds management packs and variance analysis that tell executives exactly where actuals diverged from plan — and why.

• ·Full 8-combination variance matrix (Actual vs Budget, Re-forecast, Prior Year, Latest Estimate)
• ·Revenue P/V/M decomposition (price, volume, mix)
• ·Covenant compliance tracking with amber/red warnings and cure paths

Builds three-statement financial models driven by operational metrics — every assumption documented, every variance explainable.

• ·Revenue driver tree construction by business model (ARR bridge for SaaS, headcount-utilization for services)
• ·Scenario set construction (base, bull, bear) with named strategic assumptions
• ·Driver variance analysis decomposing forecast-to-actual gaps by individual driver

Constructs board-ready 5-year financial plans with explicit named mechanisms behind every material assumption.

• ·5-year three-scenario financial plan (base, bull, bear) with distinct strategic mechanisms per assumption
• ·EBITDA bridge specification across six components (volume, price/mix, gross margin, operating leverage, investment drag, efficiency gains)
• ·Board-ready assumption documentation with confidence ratings and named mechanisms

Evaluates capital projects with institutional rigor — WACC from first principles, NPV/IRR, and sensitivity matrices.

• ·WACC component specification from first principles (risk-free rate, beta, ERP, size premium)
• ·Multi-scenario NPV/IRR analysis (base, bull, bear) with payback period
• ·Sensitivity matrix across primary drivers at ±10% and ±20%

Maps every cash inflow and outflow by week — AR collections, payroll, debt service, taxes — so treasury always knows exactly where it stands.

• ·AR aging to weekly cash receipt schedule mapping with collection probability by bucket
• ·Liquidity gap identification with earliest available response options
• ·Downside stress scenario (AR slow 15%, AP tighten 30 days, revolver −20%)

Scopes and structures every cash-to-GAAP conversion engagement — entity profile, complexity flags, input path, and handoff package.

• ·Entity profile construction with accounting method identification
• ·Complexity flag assessment across 9 dimensions including revenue recognition
• ·Input path determination (ERP, file upload, hybrid) and specialist handoff

Converts cash-basis financials to GAAP with a full adjustment register, ASC citations, and audit-ready documentation.

• ·Systematic evaluation of all 12 GAAP adjustment types with full audit trail
• ·Three-column restated Income Statement (Cash Basis | Adjustments | GAAP)
• ·Indirect-method Statement of Cash Flows from restated figures

Applies the ASC 606 five-step model to classify performance obligations and produce period-by-period recognition schedules.

• ·ASC 606 five-step revenue recognition model application
• ·Performance obligation identification and standalone selling price allocation
• ·Deferred revenue rollforward and contract liability classification

Restates cash-basis balance sheets to GAAP across every asset, liability, and equity category — with mandatory equation verification.

• ·Balance sheet adjustment across all asset, liability, and equity categories
• ·ASC 842 ROU asset and lease liability computation (operating and finance leases)
• ·Mandatory balance sheet equation verification after every adjustment ($0 tolerance)

Drafts auditor-ready GAAP footnote disclosures — basis of presentation, leases, related parties, and concentration risk.

• ·Mandatory GAAP disclosure drafting (Basis of Presentation, Accounting Policies, Revenue, PP&E)
• ·ASC 842 lease disclosure with full maturity schedule
• ·Auditor-ready footnote prose generation with ASC citations

Computes and documents EBITDA, Adjusted EBITDA, FCF, and industry-specific metrics with SEC-aligned bridge tables.

• ·Universal non-GAAP metric computation (EBITDA, Adjusted EBITDA, FCF, NWC)
• ·Industry-specific metrics (SaaS: ARR/MRR/NRR/CAC; PE: leverage ratio/EV multiple)
• ·Bridge table production with SEC guidance alignment and add-back risk classification

Verifies every financial statement before delivery — balance sheet equation, cross-statement tie-outs, and ASC citation completeness.

• ·Balance sheet equation check (Assets = Liabilities + Equity, $0 tolerance)
• ·Net income flow-through verification across all four financial statements
• ·Adjustment register completeness audit with ASC citation check

Diagnoses revenue engine failure — pipeline health, territory design, comp plan effectiveness, and RevOps maturity.

• ·Pipeline health assessment and stage conversion rate analysis
• ·RevOps maturity assessment and CRM data quality audit
• ·Incentive plan redesign with OTE competitiveness benchmarking

Builds commercial value creation initiatives for PE-backed businesses — NRR improvement, pricing power, and GTM optimization.

• ·Customer cohort retention waterfall (GRR and NRR computed separately)
• ·LTV:CAC ratio analysis and capital efficiency benchmarking
• ·Commercial initiative sizing with incremental EBITDA impact and confidence levels

Finds where margin is leaking — SKU by SKU, channel by channel — and builds the governance framework to recover it.

• ·Whale Curve analysis and SKU portfolio stratification
• ·SKU-level profitability bridge (price, volume, mix, direct material, direct labour, overhead)
• ·Price realization waterfall analysis with discount governance framework

Benchmarks cost structure and operational efficiency — from OEE to procurement renegotiation — sizing every initiative in EBITDA.

• ·COGS and OpEx cost structure benchmarking against industry peers
• ·OEE (Overall Equipment Effectiveness) measurement and improvement sizing
• ·Procurement sprint programme design with vendor spend analysis

Leads final delivery across every playbook — transforming analytical findings into polished, client-ready deliverables in any format.

• ·Spec-driven deliverable drafting following topics, format, tone, and structure guidelines
• ·Multi-format compilation (presentation, document, PDF, web page, spreadsheet)
• ·Cross-reference integrity verification — all numbers consistent across narrative and tables

Guides every new engagement through onboarding — building the company profile, verifying data connections, and routing to the right playbook.

• ·Company profile data extraction across identity, financials, stakeholders, and context
• ·Adaptive onboarding conversation flow with partial-profile awareness
• ·Intent classification from free-text description with playbook routing signals

Surfaces improvement opportunities that only become visible by analyzing patterns across multiple engagements and playbooks.

• ·Cross-playbook opportunity synthesis across the full engagement record
• ·Multi-finding signal aggregation — patterns visible only when findings are viewed together
• ·Opportunity ranking by composite of confidence, evidence breadth, and supported impact

Reviews every deliverable across five quality dimensions before it reaches the client — claims, sources, authority, materiality, and routing.

• ·Deliverable review across five quality dimensions
• ·Source verification: existence, citation resolution, support validity, authority alignment
• ·Failure mode attribution and recommendation routing

Redesigns org structure around performance — spans of control, headcount benchmarking, compensation alignment, and workforce mix optimization.

• ·Span of control analysis with thin-span manager identification and EBITDA drag calculation
• ·Headcount benchmarking by function against industry peers
• ·Total rewards optimization (compensation, benefits, incentive alignment)

Assesses C-suite capability against PE value creation requirements and designs MIP structures that align management with the exit thesis.

• ·C-suite capability assessment against PE VCP execution requirements (ready now / coachable / requires upgrade)
• ·MIP and management equity alignment review and restructuring recommendation
• ·Executive search specification for C-suite upgrade roles

Builds the roadmap from data chaos to decision-grade analytics — maturity assessment, use case scoring, and technology stack guidance.

• ·Data maturity assessment and BI environment audit
• ·Use case identification, scoring, and analytics investment prioritization
• ·Technology roadmap design (Horizon 1 and 2 sequencing)

Identifies and prioritizes the highest-value AI automation opportunities using P&L decomposition and workflow suitability scoring.

• ·P&L value decomposition and financial value map construction
• ·Agentic suitability scoring and disqualification register generation
• ·AI transformation roadmap with ROI modeling per opportunity

Monitors the AI consulting landscape — tracking startup entrants, incumbent capabilities, and institutional AI deal flow.

• ·AI disruption signal classification and startup entrant assessment
• ·Institutional investor AI deal tracking
• ·Executive intelligence brief generation

Underwrites workforce housing acquisitions with T-12 normalization, assumption documentation, and auditable Excel model generation.

• ·T-12 financial statement normalisation and one-time item adjustment flagging
• ·10-field assumption population with source provenance for every assumption
• ·Auditable Excel workbook generation with return metrics

Analyzes workforce housing markets using AMI trends, HCV data, and competitive positioning to score market attractiveness.

• ·AMI trend analysis and LIHTC rent ceiling calculation from MTSP data
• ·HAP payment standard vs contract rent gap analysis
• ·Market attractiveness scoring (composite 0–100)

Structures real estate acquisitions across three scenarios and selects the defensible offer price, debt stack, and LOI terms.

• ·Three-scenario analysis (aggressive / base / defensive) with per-assumption return comparison
• ·Debt product selection using eligibility and sizing rules
• ·Deal pass/proceed recommendation against 10%/12%/15% IRR thresholds

Drafts commercial real estate LOIs with regulatory conditions, subordinate debt payoff terms, and preferred return disclosures.

• ·Letter of Intent drafting from structured deal terms
• ·Workforce housing regulatory condition inclusion (HAP, LIHTC, Section 8)
• ·Standard commercial real estate LOI formatting

Classifies competitive moats, assesses management quality, and builds the business profile underpinning every investment thesis.

• ·Competitive moat classification (brand, switching costs, network effects, low-cost producer)
• ·Management quality assessment using Outsider CEO capital allocation framework
• ·Industry competitive landscape analysis and pricing power evidence

Computes owner earnings, ROIC, and FCF quality from SEC EDGAR filings — 10 years of structured XBRL data, directly accessed.

• ·ROIC calculation and trend analysis with goodwill-adjusted variant
• ·Owner earnings computation with maintenance capex estimation
• ·Direct SEC EDGAR CompanyFacts API access — 10-year structured XBRL financials

Builds multi-method valuations with margin of safety — DCF, P/E, EV/EBITDA, and reverse DCF — always anchored to normalized earnings.

• ·Multi-scenario DCF construction (bear / base / bull) on normalized owner earnings
• ·EV/EBITDA acquirer/private-owner valuation using peer multiples
• ·Margin of safety entry price determination across all applicable methods

Synthesizes multi-phase investment research into a final memo with Buy/Watchlist/Pass determination and board-ready deliverables.

• ·Investment memo synthesis from multi-phase analysis outputs
• ·Dynamic Excel valuation model generation (bear/base/bull DCF, sensitivity tables)
• ·Analysis result determination: Buy / Watchlist / Pass with clear criteria

Leads PE value creation from entry to exit — deconstructing the investment thesis, building the EBITDA bridge, and orchestrating the 100-day plan.

• ·Investment thesis deconstruction and LBO return attribution (EBITDA growth, multiple expansion, debt paydown)
• ·Entry-to-exit EBITDA value bridge using McKinsey six-component decomposition
• ·Rule of Three initiative prioritization and 100-day plan development

Accelerates healthcare cash collections by diagnosing denial root causes, benchmarking payer contracts, and optimizing the revenue cycle end-to-end.

• ·Denial root cause classification by reason code category
• ·Payer contract rate benchmarking against Medicare fee schedule
• ·Net collection rate calculation with quantified improvement per lever