conducting-buyout-operational-diligence
Evaluates target company operations with management assessment, systems review, process maturity, and improvement opportunity identification. Use when conducting ops DD, assessing operational risk, or identifying value creation levers.
Best use case
conducting-buyout-operational-diligence is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Evaluates target company operations with management assessment, systems review, process maturity, and improvement opportunity identification. Use when conducting ops DD, assessing operational risk, or identifying value creation levers.
Teams using conducting-buyout-operational-diligence should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/conducting-buyout-operational-diligence/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How conducting-buyout-operational-diligence Compares
| Feature / Agent | conducting-buyout-operational-diligence | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Evaluates target company operations with management assessment, systems review, process maturity, and improvement opportunity identification. Use when conducting ops DD, assessing operational risk, or identifying value creation levers.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Conducting Buyout Operational Diligence ## When To Use - Pre-LOI screening to size operational risk and value-creation potential before committing resources - Post-LOI / exclusivity period for deep-dive operational assessment across the target's functions - Management buyout or sponsor-to-sponsor secondary where operator quality is the core thesis driver - Add-on acquisition diligence to evaluate integration complexity and synergy capture feasibility - Growth equity investments where scaling operations (not just revenue) is central to the underwriting ## Inputs To Gather - **Financial data**: Trailing 3-year P&L with cost-center detail, bridge from GAAP to adjusted EBITDA, capex schedules - **Organizational charts**: Full org chart with reporting lines, open headcount, and contractor/temp labor breakdown - **Management bios and employment terms**: Key person agreements, non-competes, retention arrangements - **IT/systems inventory**: ERP, CRM, WMS, HRIS platforms; license types, contract expiry dates, integration architecture diagram - **Process documentation**: SOPs for core workflows (order-to-cash, procure-to-pay, production/fulfillment); any ISO/quality certifications - **Customer and supplier data**: Top-20 customer concentration, contract renewal schedule, top-10 supplier spend and single-source dependencies - **KPI/dashboard packages**: Management reporting cadence, tracked metrics, historical performance vs. targets - **Site visit access**: Facility tours, floor-level walk-throughs, frontline supervisor interviews - **Prior diligence reports**: Quality of earnings, commercial DD, insurance, environmental (for cross-referencing) ## Workflow ### 1. Scope and Hypothesis Framing - Define the operational thesis: what must be true operationally for the deal to work at underwritten returns - Identify top 3-5 risk areas and top 3-5 value-creation levers based on the CIM and preliminary data - Assign workstreams (management/people, processes/KPIs, technology/systems, facilities/supply chain) - Set the diligence timeline and milestone gates aligned with exclusivity deadlines ### 2. Management and Organizational Assessment - Evaluate the CEO/COO and direct reports against the 100-day plan requirements — do they have the capability and willingness to execute post-close? - Map organizational gaps: missing VP-level roles, founder dependency, key-person concentration risk - Assess bench strength one level below the C-suite; identify flight risk and retention cost estimates - Score management on strategic clarity, operational cadence, and data-driven decision-making maturity - Flag any misalignment between management incentives and the sponsor's value-creation plan ### 3. Process Maturity and KPI Review - Walk each core business process end-to-end: order-to-cash, procure-to-pay, production/fulfillment, customer support - Rate process maturity on a 1-5 scale (ad hoc → optimized) and document evidence for each rating - Identify manual workarounds, tribal knowledge dependencies, and single-point-of-failure steps - Benchmark operational KPIs (fill rate, cycle time, defect rate, customer NPS, employee turnover) against industry comps [VERIFY sector-specific benchmarks] - Quantify the gap between current performance and best-in-class — this forms the basis for the value-creation bridge ### 4. Technology and Systems Review - Map the tech stack: core ERP, bolt-on applications, custom scripts, spreadsheet-based shadow systems - Assess system scalability: can current platforms support 2x revenue without re-platforming? - Evaluate data integrity — reconcile system-reported metrics against source data; flag discrepancies - Estimate technical debt: deferred upgrades, end-of-life platforms, unpatched security vulnerabilities - Size the IT capital plan required in the first 12-24 months post-close (ERP migration, integration tooling, cybersecurity hardening) ### 5. Supply Chain and Facility Assessment - Analyze supplier concentration risk: revenue-weighted single-source exposure, lead-time volatility, geographic risk - Review facility utilization, capacity headroom, lease terms, and deferred maintenance backlog - Assess logistics network efficiency: freight cost per unit, warehouse throughput, last-mile delivery performance - Identify near-term supply chain wins (procurement consolidation, freight lane optimization, inventory policy changes) ### 6. Value-Creation Bridge Construction - Consolidate findings into a quantified value-creation bridge: EBITDA impact, capital required, timeline, and execution difficulty for each initiative - Rank initiatives by risk-adjusted return and implementation complexity (quick wins vs. structural improvements) - Stress-test the bridge: what is the downside case if only 50% of identified savings materialize? - Map each initiative to an accountable owner and a first-100-days milestone ## Output Deliver a structured **Operational Due Diligence Report** containing: 1. **Executive Summary** — Investment-grade narrative: operational thesis, top risks, total value-creation opportunity sized in EBITDA terms 2. **Management Scorecard** — Individual assessments of key leaders with retention/replacement recommendations 3. **Process Maturity Matrix** — Function-by-function ratings with supporting evidence and gap descriptions 4. **Technology Assessment** — Current-state architecture, scalability verdict, and recommended IT capital plan 5. **Supply Chain & Facilities Summary** — Concentration risk heat map, capacity analysis, and logistics optimization opportunities 6. **Value-Creation Bridge** — Waterfall chart with initiative-level detail: run-rate EBITDA uplift, one-time cost, timeline, confidence level 7. **Risk Register** — Prioritized operational risks with likelihood/impact scoring and proposed mitigants 8. **100-Day Roadmap** — Sequenced action plan for the first post-close quarter, tied to bridge initiatives ## Quality Checks - Every quantified savings estimate traces back to a documented source (management interview, data room file, site observation) — no unsupported numbers - Management assessments are corroborated by at least two data points (interview, reference, KPI performance) - Value-creation bridge totals reconcile to the EBITDA impact shown in the investment memo - All jurisdiction- or regulation-dependent assumptions (labor law, environmental compliance, trade/tariff exposure) are marked [VERIFY] - Report explicitly states scope limitations: functions not reviewed, data not provided, sites not visited - Findings are cross-referenced against the quality-of-earnings report for consistency on add-backs and normalized costs - Sensitivity analysis is included showing deal returns at 50%, 75%, and 100% of identified operational improvements