50%
of operational cost is driven by fragmented post-trade processes
McKinsey · industry benchmark
20-40%
of IT spend absorbed by legacy maintenance alone
Industry benchmark
$914.7B
industry cost of penalties and settlement failures, 2015–2025
10-year cumulative
T+1
compressed cycles leave no room for manual intervention
Fact · market direction
Most settlement operations still run on re-keyed data, spreadsheets and email between teams and across borders. Each handoff adds latency, cost and the single largest source of settlement risk – manual intervention.
Under T+1 and 24×5 trading, that model breaks. Fails carry direct penalties, funding cost and client attrition; the operations answer, more headcount, does not scale. Efficient settlement has to be engineered, not staffed.
capture
Re-key & match
Chase breaks
Manual settle
Reconcile
Auto-capture
Match & net
STP settle
Auto-reconcile
Post to book
Straight-through by default · people handle exceptions only
Straight-through processing achieved across the settlement chain
Reconciliation error rate via the rules & exception engine
Lower total cost of ownership on cloud or managed services
Direct CSD connections across APAC and Europe, out of the box
STP above 95% typically drives >20% post-trade cost savings. Figures modelled against NOVA production benchmarks; your results are modelled on your own trade flow.
01
STP and vendor consolidation cut post-trade run-rate cost 20–40%.
02
Growth scales on configuration, not operations hiring.
03
Predictive risk and <1% recon errors cut settlement failure cost.
04
Real-time processing keeps pace with compressed, always-on cycles.
05
Every instruction logged and reconciled, ready for regulator scrutiny.