Finance intelligence
The finance layer for actuals, plan and forecast.
Curio.AI connects each entity’s ledger, plan and forecast into one explainable group view — with drill-down from board-level variance to the underlying posting.
ask · group performance
▸ Explain EMEA EBITDA variance
· Actuals: €1.2M below plan
! Driver: vendor accruals in Berlin GmbH
→ Source: posting #88213, evidence attached
✓ Answer ready for review
One source of truth
A clean group view, with the evidence underneath.
Curio.AI gives finance teams a consistent layer above fragmented ERPs: consolidation, planning, reporting, and explanations in one place.
Consolidation without the spreadsheet
Intercompany is eliminated automatically, so the group P&L ties out cleanly across every company — no manual reconciliation.
One chart of accounts
A single group CoA — IFRS, local GAAP, or both — defined once and applied consistently across all entities.
Planning without version chaos
Central planning and rolling forecasts with versioning, comments and clear ownership. No more plan_v7_final.xlsx.
Reporting that holds up
Board, bank and auditor packs that stay stable and traceable — ready to send on demand, not rebuilt every cycle.
AI that explains
Ask in plain language and get the driver behind a variance — from a headline KPI all the way to the individual journal entry.
Trustworthy by design
Every figure is drillable to its source. Full audit log, role-based access, and no black-box math between data and decision.
How it connects
Actuals and forecasts, connected without replacing your stack.
Bring financial data from every entity into one place — for real clarity in the CFO office.

// The layer sits on top of your ERPs — actuals and plans in; reporting packs, AI forecasts and posting-level drill-down out.
Fast to value
A first reporting pack in 30 days.
New software shouldn’t take twelve months to earn its keep. Here’s the path from kickoff to a live reporting pack.
TODAY
Scope & access
– Define company codes / – Identify source systems / – Set up secure access
DAY 14
Data connected
– GL posting data visible / – First plausibility checks / – Chart-of-accounts mapping begins
DAY 30
Reporting pack live
– Multi-entity actual / forecast / – Variances & AI analysis / – Drill-down to the posting
Want more performance?
What the layer frees up.
Days
not weeks — to a monthly close
+1
analyst of capacity returned to the team
~40%
less effort across the planning cycle
Minutes
from a question to an answer on any number
// Illustrative outcomes — replace with your own benchmarks once live.
Connects, doesn’t replace
Connect your systems. Keep your systems.
Keep the systems your team already knows. New sources are added via API or structured import.
ERP systems · SAP · Oracle · NetSuite · Dynamics 365 BC · Proalpha
Accounting · DATEV · QuickBooks · Sage Intacct · Xero
Data import · REST API · CSV / Excel
FAQ
Quick answers.
Who is it built for? — CFOs and finance teams in multi-entity groups who need to compare actuals, plan and forecast consistently.
Does it replace Power BI or the data warehouse? — No. It prepares group financial data and can feed existing BI tools.
How does data get in? — Via API where available, or structured CSV / Excel imports.
How current is the data? — Typically refreshed daily overnight, with on-demand syncs available.
AI-native financial performance
Ask why the number moved — and get the evidence.
Tell us your entities and source systems, and we’ll show how Curio.AI would connect the finance layer around your own data.
Book a demo