March 18, 2026 · Caelon
CIM Screening for Platform Companies: A Structured Approach
A platform CEO in a buy-and-build program receives 40-60 CIMs per year. Some come from the sponsor's network. Some come from intermediaries. Some arrive unsolicited. Each one is an 80-page document containing financials, market positioning, customer data, and seller narrative — embedded in a format optimized for marketing, not evaluation.
The standard process: the CEO opens the CIM, scans the executive summary and financial highlights, and makes a decision within 15-30 minutes. Advance or pass. The criteria are intuitive. The decision is undocumented. The CIM goes into a folder.
This process has three structural problems.
Problem 1: No criteria persistence
The CEO evaluating CIM #3 in January and CIM #47 in November is applying different standards. Not intentionally. The criteria drift because they are not codified. Revenue thresholds shift. Geographic preferences flex. Customer concentration tolerances adjust based on the last deal's experience rather than a consistent mandate.
The result: inconsistent screening that cannot be audited, improved, or delegated.
| Attribute | Unstructured Screening | Structured Screening |
|---|---|---|
| Criteria | Intuitive, undocumented | Codified, weighted, versioned |
| Consistency | Varies by day and deal volume | Identical across all CIMs |
| Delegation | Requires CEO involvement every time | Scorable by any team member |
| Learning | No feedback loop | Criteria sharpen from deal outcomes |
| Record | "We passed" (no reason documented) | Pass rationale preserved for future reference |
A structured screening process does not replace judgment. It creates a consistent baseline that judgment can override when warranted — with the override documented and the reasoning preserved.
Problem 2: No extraction standard
A CIM is a marketing document. The information is real, but the presentation is optimized for the seller. Revenue is positioned favorably. Customer concentration is mentioned in passing. Owner dependency is buried in the management section.
Extracting the evaluation-relevant data from an 80-page CIM requires reading the entire document, identifying the metrics that matter to your specific thesis, and manually entering them into whatever tracking system exists. For most platform companies, this means a spreadsheet — if the data gets recorded at all.
The extraction problem has two dimensions:
Completeness. Without a standard extraction template, different CIMs get different levels of scrutiny. The CEO evaluating three CIMs on a Tuesday afternoon will extract less from #3 than from #1.
Comparability. If target A's revenue is pulled from the CIM's executive summary and target B's revenue is pulled from the financial statements section, the numbers may not be comparable. CIMs do not follow a standard format. The same metric can appear in different forms in different documents.
A structured extraction process maps specific data points (revenue, EBITDA, margins, customer concentration, geography, sector, owner dependency, employee count) to specific locations in the CIM, normalizes them, and presents them in a format that enables direct comparison across targets.
Problem 3: No institutional memory
Platform companies in active buy-and-build programs accumulate substantial screening history. Over a 4-year hold, a platform evaluating 50 CIMs per year will have assessed 200 targets. Of those, perhaps 8-12 will have been acquired.
This history is valuable. The 200 screening decisions contain patterns: which sectors converted at higher rates, which deal sizes proved most accretive, which geographic regions produced integration challenges, which intermediaries sent consistently misrepresented deals.
None of this is captured. Each CIM evaluation is an isolated event. There is no system that can answer: "Show me all targets we passed on for customer concentration above 40% in the Southeast." There is no feedback loop that connects deal outcomes to screening criteria.
The firms that do capture this data will develop a compounding advantage. Their screening criteria will sharpen with each deal cycle. Their pass/advance decisions will become more predictable. Their hit rate — the percentage of screened targets that eventually close — will improve.
What a structured screening system produces
For each CIM that enters the system, a structured screening process generates:
A standardized data extraction. Revenue, EBITDA, margins, growth rate, customer concentration (top 1, top 5, top 10), geographic footprint, employee count, owner role, and sector classification — all extracted into a consistent format.
A thesis score. Each extracted metric scored against the platform's codified criteria, weighted by importance, producing a composite fit score. A target scoring 85/100 on thesis alignment receives different treatment than one scoring 55/100.
A risk flag summary. Customer concentration above threshold. Owner dependency indicators. Geographic misalignment. Revenue quality concerns. Each flag linked to the source data in the CIM.
A screening memo. A structured document — in the platform's preferred format — summarizing the target, the score, the flags, and a recommendation. This memo is the artifact that gets shared with the CFO, the sponsor, and the rest of the deal team.
A decision record. Advance or pass, with rationale. Preserved in the system, queryable in the future, and available as training data for improving screening criteria.
The delegation threshold
One of the most significant operational benefits of structured screening is the ability to delegate.
In the unstructured model, the CEO must personally evaluate every CIM because the screening criteria exist only in their head. This creates a bottleneck: the CEO's available hours for CIM review determine the platform's screening throughput.
In the structured model, any member of the deal team can run a CIM through the system and produce a scored screening memo. The CEO reviews the output — not the 80-page CIM. Their involvement shifts from data extraction to decision validation. This is a fundamentally different use of their time.
For a platform doing 50+ CIMs per year, this shift recovers 100-150 hours of CEO time annually. More importantly, it removes the throughput constraint that determines how many opportunities the platform can evaluate.
Caelon's screening module extracts, scores, and generates structured memos from CIMs against your codified thesis criteria. Request a demo.