Fortune 100 discipline.
Mid-market speed.
The problem we solve
Most PE-backed portfolio companies cannot reproduce last quarter's revenue from source systems in under an hour.
Finance, sales, and operations report different numbers for the same metric. Critical workflows run through spreadsheets maintained by one person. AI initiatives stall because the data underneath them is unreliable.
These problems erode value every day of the hold period. And when it is time to sell, buyers find all of it.
Crawford McMillan exists to close that gap. We fix the data layer so portfolio companies can operate better now and exit stronger later. Not with dashboards. With reconciled numbers, documented lineage, and answers that take minutes instead of weeks.
Graeme Crawford
Founder and CEO
Graeme Crawford spent 20 years leading data programs at Fortune 100 scale.
At Capital One, he led a cloud migration that enabled the closure of legacy data centers, saving hundreds of millions. He built a real-time web analytics platform with sub-millisecond latency that powered personalization and fraud decisioning across billions of transactions. He also built and scaled a data organization for External Affairs over 2.5 years, delivering actionable insights for approximately $70M per year in philanthropic spend and lobbying.
Before that, at IBM, he was the designated fixer for hostile recoveries and severely damaged implementations. At 24, he rebuilt an entire day of lost data for a major UK insurer.
Now he applies that same discipline to mid-market PE-backed portfolio companies. The same rigor that powered billions in transactions at Fortune 100 scale, focused on the data that drives operating decisions and protects valuation.
Not a 12-month roadmap. Measurable impact in 90 days.
Data Readiness Assessment
4 weeks. We interview 20-30 stakeholders, map how data flows through the business, and identify the 2-3 constraints doing the most commercial damage. You get a clear picture of what needs to fix and in what order.
Discovery Sprint
4-8 weeks. We take the primary constraint and build the fix. Reconciled cost data. Documented KPI lineage. Whatever the assessment identified as the highest-value intervention.
Value Creation Sprint
Ongoing. Once the foundation holds, we build on it. Automated reporting, AI enablement, forecasting capability, data room preparation. Each sprint has a defined scope, timeline, and measurable outcome.
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Whether you need better operating data, are preparing for exit, or want to explore what AI could do for your portfolio.
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