The Shared Data Model Is the Whole Point
Every Fintra capability reads and writes the same data model - which is why budgets read live actuals, payroll posts to the GL, and stock-comp reconciles to the cap table without a single export.
Why the data model is the product
Integrations sync copies of data between tools; a shared data model has no copies to sync. In Fintra, accounting, budgeting, forecasting, expenses, bill pay, payroll, equity, and governance all operate on one model, so there is exactly one version of every number. When one thing changes, everything that depends on it is already correct - no reconciliation, no drift, no "which system is right?"
- One version of every number - no synced copies to drift
- Budget vs actuals is live because the plan and the ledger share the model
- Payroll and equity post to the same ledger the books run on
- Governance and audit read the same model as the operations
What it unlocks in practice
| Capability | What the shared model enables |
|---|---|
| Budget vs actuals | Live report, not a monthly export |
| Headcount planning | Fully loaded cost flows into burn and runway |
| Stock-comp (ASC 718) | Expense reconciles to the cap table automatically |
| Cross-domain decisions | Finance, HR, and marketing rank on one scale |
| MCP context | AI assistants answer from one governed source |
A governed source of truth
One model is also one place to govern. Every consequential write runs through the same policy engine and lands in the same tamper-evident trust ledger, so the source of truth is not just consistent - it is accountable. That is what lets AI reason across the whole business safely.
Frequently asked questions
What is a shared data model?
It is a single underlying data structure that every function reads and writes, rather than separate databases synced by integrations. In Fintra, accounting, planning, payroll, equity, and governance all use one model, so there is exactly one version of every number.
How is that different from integrations?
Integrations copy data between separate tools and must constantly reconcile those copies, which drift and break. A shared data model has no copies to sync - a change is instantly correct everywhere it is used, eliminating the reconciliation entirely.
Why does it matter for AI?
AI is only as good as the data it reasons over. On one shared model, AI can reason across the whole business - finance, HR, equity - instead of a single silo, and every action it proposes lands in a governed, auditable source of truth.
Does the shared model make audits easier?
Yes. Because every consequential write runs through one governance layer and one tamper-evident ledger, audit evidence is consistent and continuously collected, rather than scattered across many disconnected systems.
Stay in the loop
One practical finance briefing a week - new guides, checklists, and benchmarks.
One model, one truth
See why the shared data model is the reason everything in Fintra just ties out.
Talk to us