Abstracted schema

An abstracted schema is a clean, higher-level map of your data that captures meaning without exposing the messy underlying structure of your tools. It's what allows an agentic app to reason about "Revenue" without needing to understand how Xero stores it.

Rather than letting apps query raw fields from Xero, Shopify or your CRM directly, Decidr embeds intelligence within the schema itself — so apps work from a structured, agreed-upon representation of your business. A forecasting app doesn't dig through ledger entries; it reasons from clean revenue concepts that your schema has already defined. This is what makes schema-driven intelligence possible: the schema doesn't just describe your data, it encodes how to think about it.

When apps hit raw system fields directly, small changes in your tools — a renamed column, a new Xero update — break everything downstream. An abstracted schema insulates your intelligence from those changes. Your automations stay intact, your reasoning stays consistent, and your team stops spending time firefighting data mismatches that should never have happened.

Think of it as the translation layer between your tools and your intelligence. A planning app needs to know about capacity — not the specific field names your project management tool uses to store it:

• A unified "Customer" entity that merges CRM, billing and support into one coherent concept
• A forecasting app reasoning from "Revenue" rather than raw ledger line items
• New apps installing and immediately understanding your business without custom data mapping

An abstracted schema means your apps reason about your business, not your software.