The mess is survivable. Until it isn’t.
The board pack that takes three days and the KPIs nobody defines the same way are a monthly annoyance you have learned to live with.
01You are diligencing an add-on, and you cannot tell whether the numbers come from real systems or the owner's spreadsheet.
Aptum AI traces the reported numbers back to the systems, exports, and manual work behind them. You see what is system-generated, what is rebuilt by hand, and what should change price, structure, or the first 100 days.
02You took on a platform, and each acquired company defines the same KPI its own way.
Aptum AI standardizes the definitions that matter to the value creation plan, then builds the reporting spine that makes each company report those drivers the same way, on the same cadence.
03The sponsor wants a number you can defend by the next board meeting, and you are not certain you can.
Aptum AI finds the source of record, reconciles the gaps, and gives you a defensible version of the number with the caveats named plainly. No mystery math in the board pack.
04A buyer's diligence team is about to pull the thread on numbers you assembled by hand.
Aptum AI gets the data room, KPI definitions, and reporting logic into a state a buyer can follow. The goal is simple: diligence confirms the story instead of repricing it.
05Your first instinct is to hire an analyst, but the problem is the data underneath, not the person on top of it.
Aptum AI fixes the operating layer underneath the analyst work: data sources, definitions, pipelines, dashboards, and recurring reporting cadence. Then analysts can analyze instead of rebuilding the same file every month.
Trustworthy data and operations, at every point in the hold.
The same competence decides value three times.
01When you buy, whether the numbers are real and the business is operable.
02While you run it, whether the value creation plan has a reporting foundation it can actually move on.
03When you sell, whether your data and operations survive a buyer's diligence or get repriced by it.
Aptum AI works all three.
A systems and data module you can attach to your engagement.
Your client keeps asking what they are inheriting operationally. Answer it under your engagement letter instead of referring it out.
Our engagement model
Your value creation plan runs on drivers. Your data decides how fast you move them.
Revenue, margin, working capital, integration, exit readiness. Every driver in the plan depends on measurement you trust and get quickly. You cannot move a driver you cannot see, and you cannot see what takes three days to assemble and nobody agrees on. The Aptum AI Levels are how we build that capability: from basic visibility at Level 0 to a system that tells you which driver is slipping before the financials confirm it at Level 2 and above.
Modern datalake, pipelines, and dashboards in place. No more three‑day manual aggregation.
The same numbers, the same way, every month, without analyst rebuilding.
AI surfaces patterns and recommendations on top of the spine.
AI in the loop for recurring decisions and handoffs.
Autonomous workflows where humans handle exceptions only.
Built by Nick Graham
Aptum AI was founded by Nick Graham: twelve years in the U.S. Army, ten of them as a Green Beret, a mathematics degree, a master's in finance, and Stanford Ignite. Former VP of Operations at two venture-backed cybersecurity startups, and Senior Data Scientist on the Enterprise AI team at a publicly traded enterprise SaaS company. In 2026, Nick was selected to the inaugural cohort of Palantir's American Tech Fellowship for Veterans (ATF-V).
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