Unify, clean, and sync your business data — so AI and automation can actually work.
Most businesses aren’t struggling with AI. They’re struggling with the thing nobody wants to admit: their data is scattered, duplicated, and trapped across too many systems.
CRMs. Scheduling. Estimating. Accounting. VoIP. SMS. Email. Websites. Lead providers. Spreadsheets. That’s why “AI initiatives” quietly fail. AI doesn’t run on ideas — it runs on clean, connected, normalized data.
DataOS™ is the framework we use to unify, normalize, and govern business data across 2–20+ applications, so AI and automation become reliable and measurable.
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DataOS is built around four outcomes: unify data, normalize data, sync data, and trust data. The subsystems below make that real.
We start by mapping the reality of your ecosystem so every decision is grounded in what you actually have — not a fantasy stack.
A normalization layer that defines the canonical version of every record type so AI and reporting can finally be trusted.
The piece that makes everything else possible — a system that stays clean, not a one-time cleanup project.
A reliable sync layer between 2–20+ applications using real-time, scheduled, and hybrid patterns — whichever fits the workflow.
When the stack gets complex, DataOS adds a unified data layer plus the governance that keeps it accurate month after month.
Most consultants can tell you what to do. Most developers can connect APIs. Very few teams can see the full business system, map the buyer journey, architect the correct data model, and execute integrations without creating chaos. PushButton AI Counsel includes trusted in-house advisors plus a full dev team with real integration experience — not theory.
If your data lives across 2–20+ tools, the next move isn’t to buy more software. It’s to get counsel before you build or connect anything — so we can uncover what you actually have, what can be trusted, and what will create immediate leverage.
No obligation · No pitch · One conversation