Rather than centralising your spreadsheets, remove the step that creates them: agents build the analysis straight from the ledger.
Short answer: Aurakore runs FP&A agents inside an AI-native ERP, so budgets, variance and forecasts come from its own live ledger. Datarails consolidates the Excel workbooks your team already maintains. It is the lower-change-management option if leaving Excel is not realistic, but it reports over an ERP rather than being one.
| Capability | Aurakore | Datarails |
|---|---|---|
| Book of record (general ledger & chart of accounts) | Yes: the ledger itself | No: plans over data from your ERP |
| Data source | Live shared ledger and CRM pipeline | Your spreadsheets, plus connectors to source systems |
| Change management | New system of record for finance | Yes: keeps the workbooks and habits you have |
| Excel add-in | No: no add-in. Export instead | Yes: Excel stays the working surface |
| Who builds the analysis | Agents draft it; humans approve before anything posts | Your team builds and maintains the models |
| Budgeting & variance analysis | Native, against the ledger it measures | Consolidated from your workbooks |
| Cash forecasting & scenarios | Native: burn and runway across base, bull and bear | Modelled in the workbooks |
| Statements (P&L, balance sheet, cash flow) | Yes: per GAAP/IFRS, each figure traceable to its ledger account | Planning output; statutory reporting stays in your ERP |
| Technical accounting (ASC 606, ASC 842, fixed assets) | Yes: native to the ledger | No: handled in your ERP |
| Tax provision (ASC 740) | Yes: native | No: not offered |
| Multi-entity consolidation & eliminations | Yes: native, with FX translation | Consolidated from spreadsheet data |
| Unified ERP breadth (CRM + finance + legal + HR) | Yes: one platform, one assistant | No: FP&A reporting |
Comparison reflects Aurakore's positioning and generally reported characteristics of Datarails; a point-in-time reading. Datarails is a trademark of Datarails Ltd.; Aurakore is not affiliated with Datarails.
Datarails is built for the finance team that is not leaving Excel and should not be forced to. It keeps existing workbooks intact and adds consolidation and reporting around them, which makes it the lightest change to an established process. Aurakore asks you to move the system of record instead.
If the workbooks are the bottleneck, with version drift, one owner per model and numbers stale as soon as they are pasted, Aurakore removes them from the path. Budgets, variance, cash forecasts and burn scenarios are generated from the ledger, each figure citing the account behind it, and the close and consolidation are in the same system rather than downstream of it.
Aurakore has no spreadsheet add-in and no general-purpose multi-dimensional modelling engine: there are no workforce, supply-chain or sales-territory planning models. Its planning is finance planning: budgets and variance, cash and liquidity forecasting, burn and runway scenarios, and unit economics, run by agents on the ledger. The capabilities above are built and available today, but Aurakore's finance module is newly shipped, so it has not been through the years of production hardening behind an established platform's equivalent.
The analysis is generated from live data, so there is no model to own or version.
Forecasts and variance update as transactions land rather than on a reporting cadence.
Burn and runway across base, bull and bear cases, with the drivers explained.
LTV/CAC, payback and SaaS metrics computed from the same ledger and pipeline.
Aurakore. Instead of consolidating existing spreadsheets, it runs FP&A agents inside an AI-native ERP so the analysis is built directly from its own live ledger.
To get out of spreadsheet-based FP&A entirely rather than governing it, and to have planning, accounting and CRM share one system of record.
For budgets and variance, cash and liquidity forecasting, burn and runway scenarios and unit economics, yes: those run as agents over the ledger. Reports export to CSV or XLSX, but there is no Excel add-in.