Finance operations consultancy · Boca Raton, FL
Black Ops Analytics builds the forecasting, reporting, and workflow systems a finance function runs on, so the work happens on a schedule instead of on someone’s weekend.
Built for owner-operated and private-equity-backed companies whose finance work has outgrown the spreadsheet that started it.
What we do
We rebuild forecasting, budgeting, variance analysis, and the monthly reporting pack as systems rather than as recurring manual work. Driver-based models, actuals-to-plan variance that updates itself, and executive dashboards your leadership team can read without a translator.
Automation past the finance department. We map how work actually moves through the organization, remove the manual handoffs, and rebuild the path in software. AI is used where it genuinely does the job and conventional automation where it does the job better.
Industry-specific products currently in development, drawn from problems we have seen repeatedly inside operating companies. Our intent is narrow: lower the cost of running the business and give the operator something better to put in front of a customer. Available to discuss under NDA.
How engagements work
We start inside the current process: the close, the model, the report nobody quite trusts. You get a written map of where the time and the errors actually go.
We build the model, the data pipeline, or the dashboard in your stack, against your chart of accounts and your definitions, not a template.
Manual steps come out one at a time and get replaced with scheduled, monitored jobs. Anything that cannot be automated responsibly stays manual, and we tell you which is which.
Documentation, a working session with your team, and the source files. You own what we built. The engagement is designed to end.
Operator-built
Black Ops Analytics is built on operator experience. Every figure below comes from work our principal delivered inside operating companies.
15+
Years in corporate finance, FP&A, and analytics across private-equity-backed, high-growth, and publicly traded companies.
90%
Of recurring enterprise reporting automated for a 130+ location healthcare organization.
20+
Acquisitions modeled in support of multi-site expansion.
$500M+
Regional P&L carried through forecast and variance analysis.
Bar length is proportional to elapsed processing time.
Founded and led by Jordan Axelrod — 15+ years in corporate finance, FP&A, and analytics inside private-equity-backed, publicly traded, and high-growth companies.
Contact
Tell us what the process looks like today and what it costs you to keep it. If this is not the right fit, we will say so on that call.