AI-Powered Trade Exception Management | Predict Settlement Fails

NOVA TradeIQ

Know which trades will fail. Before they do.

Your team works the break queue in the order it arrived. NOVA TradeIQ works it in the order it will cost you – ranking every open exception by risk of failing at cutoff, flagging the missing precondition while there is still time to fix it, and naming the root cause against your own configuration and logs. It recommends. Your operator decides.

What the fail queue costs

€70.4m

average monthly penalties paid by T2S participants for late matching and settlement failures through 2024 - ranging from €42m in December to €108m in September

Firebrand Research and DTCC

6.2%

of transactions did not settle as scheduled by volume, and around 2.5% by value

Annual public disclosure of settlement fails, as reported by SIX

71%

of 2024 settlement failures across surveyed firms were counterparty shorts; a further 21% were data issues, including incorrect or stale SSIs Firebrand Research and DTCC

Firebrand Research and DTCC

11 Oct 2027

UK, EU and Switzerland T+1 go-live, with ESMA's October 2025 settlement discipline amendments shifting emphasis from penalising fails to preventing them through automation

ESMA Final Report on amendments to the RTS on Settlement Discipline, 13 October 2025

Why prediction works here

Fails are not random. They repeat.

Over nine in ten reported failures trace to two causes – a counterparty short, or bad data. Both leave a signature in your own history before they become a fail. ESMA’s October 2025 amendments to the settlement discipline RTS moved the emphasis from penalising fails to preventing them, prioritising automation and standardisation. That is exactly the shift Phase 2 is built for.

Phase 2 · Predictive intelligence

Six things the queue should do for you.

Risk-ranked queue

Worked by settlement risk, not arrival order

Every open break carries a settlement risk weight. The trades most likely to fail by cutoff sit at the top of the operator's screen.

Predictive fail-flagging

The precondition, not the post-mortem

Incomplete data entries and unmet conditions are surfaced before they cause a failure.

Root-cause diagnosis

Named against your own configuration

For a specific failed transaction, TradeIQ reads your replica database plus system and interface logs, identifies issue behind it, and returns recommended remediation - not a generic explanation.

Continuous learning

Correction becomes prevention

As operators resolve exceptions, TradeIQ learns the pattern. Recurring failure types move from being investigated to being pre-empted.

Role-based views

One data set, four different mornings

Settlements and recon, risk and margin, finance, and senior management each get an actionable view.

Reporting extracts

Populated, then signed off

Your regulatory templates are mapped to data already inside NOVA, so recurring extracts populate for review instead of being rebuilt in spreadsheets by several people.

Exception management

Triage, diagnose, prevent - and a human on every final call.

Triage

Escalation reserved for judgement, so L2 and L3 handle what genuinely needs them.

Diagnose

Configurable recon engine across trades, payments, cash, static data & corporate actions - beta targeted H2 2026.

Contain

Entitlements posted straight to the holding - no interface, no reconciliation.

Cross-desk visibility in one queue across multi-desk settlement flows.

Specific cause and remediation per failed transaction, drawn from your replica and logs.

Claims and excess entitlements identified and controlled automatically.

Live operations board ranking open breaks by risk of failing at cutoff.

Full resolution history retained as an auditable record of who decided what.

Full reverse and redo with a complete audit trail on every event.

Triage

Escalation reserved for judgement, so L2 and L3 handle what genuinely needs them.

Cross-desk visibility in one queue across multi-desk settlement flows.

Live operations board ranking open breaks by risk of failing at cutoff.

Diagnose

Configurable recon engine across trades, payments, cash, static data & corporate actions - beta targeted H2 2026.

Specific cause and remediation per failed transaction, drawn from your replica and logs.

Full resolution history retained as an auditable record of who decided what.

Contain

Entitlements posted straight to the holding - no interface, no reconciliation.

Claims and excess entitlements identified and controlled automatically.

Full reverse and redo with a complete audit trail on every event.

Built for the governance bar

Every supervisor asks the same question: who is accountable?

No market NOVA CMX serves is waiting for an AI act. Existing frameworks apply now, and the answer expected is human oversight, explainability and an audit trail. That is why the final call always sits with your operator.

Singapore

MAS consulted on Guidelines on AI Risk Management (13 Nov 2025), covering decision support as well as decision-making, with a proposed 12-month transition after issuance.

Hong Kong

The SFC's generative AI circular puts senior management oversight first; SFC and HKMA both issued AI-related circulars on 2 June 2026.

Australia

ASIC's REP 798 found governance lagging adoption across 624 use cases; APRA's 30 April 2026 letter named governance immaturity and inadequate assurance.

Malaysia

BNM's revised RMiT took effect 28 Nov 2025 and its AI discussion paper was published August 2025; the SC's technology risk guidelines already carry an AI appendix.

United Kingdom

The FCA plans no AI-specific rules, applying the Consumer Duty, SM&CR and its governance expectations, with AI Live Testing running through 2026.

Middle East

CBUAE, SCA, DFSA and ADGM's FSRA jointly issued Guidelines for Financial Institutions Adopting Enabling Technologies, covering AI and analytics.

Phase 1 · Knowledge Copilot · Live now

Start before you upgrade.

Phase 1 is available with zero connectivity to production. Operators ask about any function in plain language and get a cited walkthrough down to the screen and field; IT gets interface specifications and SQL drafted against your own schema. It runs inside your tenant, refreshed daily from current documentation – and every query it handles sharpens what Phase 2 predicts.

The C-suite outcome

Fewer fails. Fewer penalties. Same headcount.

01

Penalties structurally lower

Breaks are worked in the order they will cost you, and the predictable ones stop becoming fails.

02

Missed cutoffs become rare

Risk-weighted queues and precondition flags replace the overnight buffer that no longer exists.

03

Senior capacity released

Escalations that only needed a diagnosis are resolved before they reach your experts.

04

A governance story you can present

Isolated replica, controlled query layer, cited output, human approval - mapped to what your supervisor has published.

05

One intelligence layer, three products

TradeIQ sits with NOVA RPA and NOVA Citadel inside NOVA Intelligence Hub - automation, intelligence, resilience on one operating model.

Capital markets - engineered

Bring us last month's fails.

We will walk your fail and penalty history through TradeIQ’s risk weighting and show which of them carried a signal your queue could not see – then take your risk function through exactly where the data sits.

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