The previous 37 chapters covered components. This chapter integrates them across three end-to-end cases — an LBO, a Series B, and an LP secondary. Each case reuses concepts from prior chapters and shows what professional fluency actually looks like.
Case 1: B2B software LBO
Setup: $400M EV acquisition of a vertical-market SaaS company, 30% EBITDA margins, 12% revenue growth. Sourced via a sponsor-to-sponsor process. Diligence (Chapters 14–20): commercial DD with cohort retention analysis confirming 115% net revenue retention; QofE normalising EBITDA from $35M to $33M; comps of 12x EBITDA / 6x revenue; LBO model targeting 20% IRR over 5 years.
Structure (Chapters 21–27): $400M total ($150M equity, $200M term loan, $50M unitranche). Management rolls $20M; sponsor commits $130M. Standard PE governance package; 3 sponsor seats, 1 management seat, 1 industry-operator independent.
Operating plan (Chapters 28–29): 100-day plan focused on sales hiring (12 new AEs), product expansion (one bolt-on in adjacent vertical), and pricing (flat 5% YoY across base). Budget targets EBITDA growth from $33M to $58M over 5 years.
Exit (Chapters 30–31): Year 5 exit at $720M EV (12.4x exit EBITDA on $58M, with multiple expansion to 12.4x). Equity proceeds $470M to sponsor + management. Sponsor IRR ~26%. Returns bridge: 60% EBITDA growth, 25% multiple expansion, 15% debt paydown.
Case 2: Series B at $80M post-money
Setup: an AI-application company raising $20M at $80M post-money. Investor lead, 25% target ownership, 1x non-participating preferred. Diligence focused on data network effects, model-moat, gross margin trajectory.
Term sheet (Chapters 21–27): $20M / $80M post; 1x non-participating preferred; broad-based weighted average anti-dilution; 4-year founder vesting with 1-year cliff and 12-month double-trigger acceleration; 2 founder + 2 investor + 1 independent board; pro-rata rights, ROFR, drag-along, standard NVCA-template protective provisions.
Cap-table modelling (Chapter 24): pre-money $60M, with $5M pre-investment option-pool top-up. New investor 25%, founders 47%, employees (option pool) 18%, prior investors 10%. Reconcile fully diluted to ~5.6M shares.
What good looks like at exit: a 5x exit at $400M would return the lead investor $100M (5x on $20M), founders ~$190M, employees ~$72M, prior investors ~$40M. The 1x non-participating preference does not constrain because the pro-rata share dominates at this exit price.
Case 3: LP secondary on a 2018-vintage buyout fund
Setup: an LP wants to sell its $50M commitment / $44M called / $42M NAV interest in a 2018-vintage US mid-market buyout fund. The fund has 9 remaining portfolio companies and 4 years of fund life left. Sponsored by a Tier-1 GP with strong DPI track record.
Pricing (Chapter 32): underwriting buyer projects exit values across all 9 positions, applies 14% target IRR, computes net cash flows including remaining fees, and arrives at a price representing 91¢ on NAV — $38.2M for a $42M NAV. Discount reflects 4 years of remaining fees, exit-timing uncertainty, and 2018 vintage's full deployment into pre-2022 multiples.
Process: secondary advisor runs a process with 8 secondary buyers; bids range from 84¢ to 92¢; the LP transacts at 91¢ with the highest bidder. The transferring LP signs over its commitment; the buyer assumes the remaining unfunded $6M and the future fee/carry stack.
Career pivots into PE/VC — three patterns that work and one that doesn't
DoD / national security → defense-tech VC. Military and intelligence community alumni who reach the O-5/O-6 or GS-15/SES level carry something most VC investors lack: a working understanding of how the DoD actually buys things, who the real decision-makers are inside a program office, and what capability gaps look like from the operator's side. Firms like Shield Capital, Lux Capital, and In-Q-Tel have built explicit pipeline programs for this transition. The pattern works because the informational edge is structural — a former program manager can evaluate a defense-tech startup's government go-to-market faster and more accurately than most generalist investors — and because the dual-use technology wave means there is now a large enough deal universe to justify dedicated sector exposure.
Enterprise sales → growth-stage VC. A senior enterprise sales executive — VP of Sales or CRO at a public or late-stage private technology company — brings a network of CIOs and procurement decision-makers who are exactly who growth-stage portfolio companies need introductions to. The transition works best at the growth-equity or late-stage VC tier, where the value-add is commercial rather than analytical. The pattern has produced a number of successful platform partners and operating advisors at firms like Salesforce Ventures, Bessemer, and Iconiq. The entry point is often an operating partner or venture partner role before a full GP track, precisely because the background is commercial rather than financial — the modelling fluency usually needs to be built explicitly.
Operator / founder → seed VC. A founder who has built and exited a company — even at a modest outcome — carries credibility with other founders that is nearly impossible to manufacture from a banking or consulting background. At the seed stage, where the investment decision is almost entirely a people and thesis judgment, founder-investors have a natural sourcing and signaling advantage: their name on a cap table tells the next round's lead that someone who has done this before believes in the company. The most common entry path is a scout role or angel investing using the exit proceeds, followed by a fund-I raise on the back of a small but demonstrable portfolio. The pattern's constraint is check size: founder-investors often raise underpowered first funds ($20–50M) and face the strategy question — stay seed-focused or move later — by fund II.
The pattern that doesn't work: generalist consultant without domain edge. A management consultant from a brand-name firm, with no operating experience and no defined sector expertise, who targets a front-office role at a top-quartile buyout or growth fund directly — without an MBA or a clear operating story — is presenting a profile that these funds receive hundreds of times per year and select almost zero times. The pattern fails for a specific reason: consulting builds process fluency and a clear writing style, but it does not build the domain depth, the network, or the demonstrated judgment that PE/VC firms pay for at the senior associate and VP level. The path from consulting to PE almost universally requires an intermediate step — either an MBA from a target school (which resets the recruiting process) or 2–3 years of operating experience that creates a genuine domain story. Trying to skip that step by targeting funds outside the top tier and hoping to lateral is possible, but the landing point is usually a lower-quality platform where the trajectory is harder. Use the job fit tool in this report's lab to map your current profile against the specific role type you are targeting.