The technology filter screens a variable buyers routinely underweight: the target's management system and its tech debt. The headline question is match versus migrate. A match — the target runs the buyer's system — is a simple database merge, no retraining, no dual entry. A migrate is a project: $5,000–$15,000 in vendor fees, 60–90 days of manual field mapping, and a "swivel chair" phase where staff run both systems in parallel at a ~40% productivity drop. The right move when systems are incompatible is to add $20,000 to the financial model and factor 3–6 months of operational disruption into the integration timeline — or to rule the target out.
§ 01 · Three compatibility scenariosMatch, compromise, hard stop.
| Scenario | What it means |
|---|---|
| Match | Same system both sides — the gold standard, a simple merge |
| Compromise | Within the same vendor family — manageable migration |
| Hard stop | Legacy or incompatible — rule out if migration exceeds budget |
The three scenarios sort targets by integration cost. A match — the same system on both sides — is the gold standard, a database merge with no retraining. A compromise — within the same vendor family — is a manageable migration. A hard stop is a legacy or fully incompatible system where the migration exceeds the budget, and the disciplined response is to rule the target out rather than absorb an unbudgeted multi-month project. The technology filter isn't about preferring modern systems for their own sake; it's about pricing the integration cost into the deal — a perfect book on an incompatible system can still be a bad deal once the migration cost and disruption are counted.
§ 02 · The dirty-data red flagsWhat migration exposes.
Three dirty-data red flags surface in any technology review and each carries a cost. Missing email addresses kill marketing — you can't reach part of the book. Closed policies marked active inflate the valuation — the buyer pays for revenue that doesn't exist. Inconsistent carrier naming kills reporting — the buyer can't see the carrier concentration the deal depends on. Dirty data isn't cosmetic; it distorts the price and the post-close operation.
The dirty-data red flags matter because they corrupt the data a buyer relies on to value and run the book. Missing email addresses mean a marketing list that can't reach a chunk of clients. Closed policies still marked active inflate the apparent revenue, so the buyer pays a multiple on policies that aren't there. Inconsistent carrier naming breaks the reporting the buyer needs to see carrier concentration — the very thing the carrier filter depends on. A target with dirty data isn't just messy; it's a target whose stated numbers can't be trusted until the data is cleaned, which is itself a cost. Paper-file digitization adds another line — $5,000–$20,000 for 20-plus years of paper files.
§ 03 · The day-one tech-debt budgetFive indicators.
Five indicators flag day-one tech debt a buyer should budget at the filter stage. On-premise servers need replacing. More than 5% paper files need digitizing ($5K–$20K). Old operating systems (Windows 7 or earlier) mean mandatory workstation replacement. An absent cybersecurity plan means security remediation. And no written information security plan is a regulatory compliance gap. A legacy server replacement alone can run $15,000–$50,000+ depending on the operation's size, so these aren't rounding errors — they're capital expenditures that belong in the total-cost-of-acquisition model. The technology filter's job is to surface them before the price is set, so the buyer pays for the book at a price that accounts for the tech debt rather than discovering the bill on Day 1.
§ 04 · The quarantine ruleThe cybersecurity discipline.
One technology discipline isn't about cost — it's about not inheriting a disaster. The quarantine rule governs connecting acquired hardware to the buyer's network: isolate the acquired hardware for a 3–7 day window, run a security audit, wipe and re-image with a clean operating system, sandbox-test connectivity, and only then integrate fully. The cybersecurity diligence checklist runs alongside it — past breaches and their remediation, a written information security plan, multi-factor authentication, and endpoint detection and response software. The reason for the discipline is the cross-contamination risk: connecting unvetted acquired hardware to the buyer's network can introduce ransomware that costs hundreds of thousands in recovery, downtime, and potential ransom. The technology filter, in full, prices the integration cost, screens the data integrity, budgets the tech debt, and protects the network — four checks that turn a quietly underweighted variable into a priced, managed one.
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Terminology on this shelf
- Match vs. migrate
- A simple database merge versus a $5–15K, 60–90 day migration with a ~40% productivity drop.
- Swivel-chair phase
- The dual-entry period during migration where staff run both systems in parallel.
- Three compatibility scenarios
- Match (gold standard), compromise (same vendor family), hard stop (rule out).
- Three dirty-data red flags
- Missing emails (kills marketing), closed-as-active policies (inflates valuation), inconsistent carrier naming (kills reporting).
- Five tech-debt indicators
- On-premise servers, >5% paper files, old operating systems, absent cybersecurity plan, no written security plan.
- Quarantine rule
- 3–7 day isolate-audit-wipe-sandbox before connecting acquired hardware — against ransomware cross-contamination.