The Handoff Problem

Most diligence engagements end with a report. The deal team reads it, negotiates accordingly, and closes. Then the report goes to the portfolio company’s leadership team—who weren’t in the room, don’t know the diligence principal, and may not agree with the findings.

Even when the findings are accurate, the translation loss is enormous. A 200-page report written for a deal team doesn’t map cleanly to a 100-day execution plan for a CTO. Priorities that were obvious during diligence become ambiguous once the report changes hands. The nuance of what’s critical versus what’s cosmetic—the kind of judgment that only comes from having read the codebase yourself—doesn’t survive a PDF.

The result: findings sit in a drawer. Remediation happens reactively—when something breaks—rather than proactively, before it costs money or creates risk.

This is the structural problem with separating assessment from execution. The 100-day plan becomes a 300-day plan. The value creation thesis erodes.


What Operator-Led Post-Close Looks Like

Same Principal, No Translation Loss

The person who identified the risk owns the fix. No re-learning, no re-assessment, no “getting up to speed.” The context that informed the diligence findings—the codebase, the infrastructure, the team dynamics, the technical debt decisions—carries directly into execution. Day One starts at full velocity.

First 30 Days — Triage and Quick Wins

Identify the highest-impact, lowest-effort remediations. Deploy enterprise WAFs, fix hard-coded credentials, eliminate orphaned cloud resources, establish basic monitoring. These are the items that demonstrate momentum to the board and build trust with the portfolio company’s engineering team—critical for everything that follows.

Days 30–90 — Structural Remediation

Cloud cost optimization—reserved instances, CDN reconfiguration, compute right-sizing. Security architecture—authentication modernization, network segmentation. CI/CD and deployment automation. Database optimization. These are the foundational changes that compound over the hold period and create durable operational improvements.

Days 90+ — Value Creation

AI deployment where it creates durable product advantage. Infrastructure modernization that enables faster feature development. Technical integration for roll-up strategies. This is where post-close execution transitions from risk mitigation to enterprise value creation—the work that shows up in the next exit’s diligence as a strength, not a finding.


Execution Areas

Cloud Cost Optimization

CDN reconfiguration, compute right-sizing, reserved instance strategy, logging cost reduction. Typical impact: 30–60% cost reduction on targeted services. These savings flow directly to EBITDA and are often the fastest path to demonstrating post-close value creation.

Security Remediation

WAF deployment, authentication modernization, credential rotation, network segmentation, vulnerability remediation. Closes security gaps that often persist from company founding—gaps that are tolerable at startup scale but become material risk in a PE-owned asset.

AI Deployment

Document ingestion, classification, agentic workflows. Building AI capabilities the team can maintain and extend independently. Not wrapping API calls—building durable systems on client infrastructure that create defensible product advantage and compound over time.

Infrastructure Modernization

Region migrations, disaster recovery, CI/CD pipeline automation, environment parity. The foundation for everything else. Without reliable infrastructure, cost optimization is fragile, security is incomplete, and AI deployment is premature.


Why Every Client Retains Post-Close

100% of diligence clients to date have retained Blackmere for post-close execution. This is not an upsell or a bundled offering. Each post-close engagement is a separate decision made after the deal closes, by the deal team and portfolio company leadership independently.

The reason is simple: the principal who mapped the risk landscape is the most efficient person to execute against it. Re-hiring means re-learning, and time is the scarcest resource in a 100-day plan.

The economics are straightforward: a new team needs weeks to achieve the context the diligence principal already has. In a compressed post-close timeline, those weeks are the difference between hitting the 100-day milestones and missing them.