AURA LEDGER
Drives cash, accelerates close and secures covenants in real time.
Group treasury aggregates dozens of TMS, ERP and banking platforms. Intra-day positions, off-balance commitments and covenant ratios are reconstructed manually, often in Excel, with a 24-48 hour lag.
LEDGER consolidates the treasury position continuously, simulates the impact of any move on covenants before execution and shortens monthly close by several days.
What LEDGER does for you.
LEDGER reasons on the group treasury position by cross-referencing TMS (Kyriba, FIS), ERP (SAP, Oracle) and SWIFT banking flows. It anticipates cash shortfalls, proposes trade-offs between credit lines and explains every variance before close.
Targeted read: only the data relevant, impactful or critical to this business enters the ontology. No full IS replication.
What you activate
from day one.
Illustrated on Treasury.
True beyond.
The examples above rely on the AURA LEDGER sector. The principles below, however, hold for any organisation steering a real operation — regardless of the business.
No generative AI reasons correctly without an explicit representation of business concepts. The model comes after meaning.
Legacy stays in place. AURA reads, never writes, never moves data. Switching cost is zero, full reversibility.
Every recommendation is tied to the source attributes that produced it. Reproducible. Contestable. Auditable.
Value arises at the intersection of constraints — finance, ops, compliance, customer. AURA arbitrates; it does not optimise one silo.