Companies that grow via frequent acquisitions often exclude integration costs from adjusted metrics by labeling them "one-time" charges. This is misleading. For this business model, these are predictable, recurring operational expenses and should be treated as such by analysts calculating a company's true profitability.

Combining strategy, M&A, and integration under a single leader provides a full lifecycle, enterprise-wide view. This structure breaks down silos and creates a "closed-loop system" where post-deal integration performance and lessons learned directly feed back into future strategy and deal theses, refining success metrics beyond financials.

Acquiring smaller companies at a 5-6x EBITDA multiple and integrating them to reach a larger scale allows you to sell the combined entity at a 10-12x multiple. This multiple expansion is a powerful, often overlooked financial driver of M&A strategies, creating value almost overnight.

Earnouts rewarding only the acquired team's siloed performance create a major integration roadblock. This structure incentivizes them to hoard resources and avoid collaboration, directly undermining the goal of creating a unified culture and destroying potential cross-functional value.

To avoid a broken handoff, embed key business and integration experts into the core deal team from the start. These members view diligence through an integration lens, validating synergy assumptions and timelines in real-time. This prevents post-signing surprises and ensures the deal model is operationally achievable, creating a seamless transition from deal-making to execution.

Deals fail post-close when teams confuse systems integration (IT, HR processes) with value creation (hitting business case targets). The integration plan must be explicitly driven by the value creation thesis—like hiring 10 reps to drive cross-sell—not a generic checklist.

Companies struggle to get value from AI because their data is fragmented across different systems (ERP, CRM, finance) with poor integrity. The primary challenge isn't the AI models themselves, but integrating these disparate data sets into a unified platform that agents can act upon.

Deal models often flag redundant roles for cost savings. However, an integration leader can identify hidden value, such as crucial client relationships held by an administrative assistant. Cutting roles based purely on numbers can inadvertently destroy the very value the deal was meant to capture.

A process where the deal team hands off a signed transaction to a separate integration team is flawed. State Street integrates business and integration experts into the deal team from the start. This ensures diligence is informed by integration realities, timelines are realistic, and synergy assumptions in the deal model are achievable.