Why do shrinking settlement cycles put pressure on reconciliation?

As settlement cycles compress from T+4 to T+1 and eventually T+0, the window to detect and investigate exceptions narrows sharply. Smartstream's research found more than 70 per cent of buy-side firms still rely primarily on end-of-day reconciliation.

What is agentic AI and how does it differ from earlier AI copilots?

Unlike copilots that summarise information or answer questions, agentic AI takes actions and progresses tasks autonomously within defined approval rules. Smartstream's Smart Agents investigate exceptions, determine why transactions failed to match, and escalate cases requiring human judgement.

What is data quality drift, and why does it matter for reconciliation?

Data quality drift describes how a clean data feed degrades over time as fields are altered, platforms are upgraded, or counterparties change message formats. Thomas Steinborn, Smartstream's Chief Product and Technology Officer, says this drift, not static data quality, is the real problem operations teams compensate for manually.

How has Air, Smartstream's reconciliation platform, performed in live deployments?

The National Bank of Greece's Cyprus operation used Air to consolidate four reconciliation environments covering instant, cash, SEPA and nostro processes. Papua New Guinea's Comrade Trustee Services adopted Air and reduced a process that previously took up to eight hours to under five minutes.

Reconciled to the Truth: AI and T+1 Settlement

When settlement windows shrink, exceptions have nowhere to hide

Settlement cycles have compressed from T+4 to T+1 and are heading toward all-or-none, atomic settlement, or T+0. That shift improves liquidity and keeps customers happy, but it also narrows the window banks have to identify discrepancies, investigate exceptions and put them right. Smartstream’s research among buy-side firms found more than 70 per cent still rely primarily on end-of-day reconciliation, while 53 per cent named timing differences and data mismatches as the leading cause of reconciliation breaks. Thomas Steinborn, Chief Product and Technology Officer at Smartstream, argues the real bottleneck was never straight-through processing but exception management, since a transaction that fails to match automatically can send an operations specialist searching across market data, dashboards and counterparty messages for an answer. Learn more about Smartstream’s Smart Reconciliations platform.

From copilots to colleagues: agents that act, not just advise

Steinborn distinguishes agentic AI from the first wave of copilots that only summarised information or answered questions. Agentic systems take actions and progress a task autonomously within defined approval rules, and Smartstream has built that capability specifically for financial operations through its Smart Agents for reconciliation exceptions, which investigate breaks, determine why transactions failed to match, monitor service levels and escalate cases that need human judgement. In trials with a Tier 1 financial institution, investigation time for an exception fell from around 14 minutes to 30 seconds, and other institutions project that between 50 and 70 per cent of investigation activity could be automated within the first year.

Agentic AI already at work, and a bigger rethink ahead

The results are not theoretical. The National Bank of Greece’s Cyprus operation used Smartstream’s Air reconciliation platform to consolidate four reconciliation environments covering instant payments, cash, SEPA and nostro processes, and Papua New Guinea’s Comrade Trustee Services adopted the same technology to cut a process that once took up to eight hours down to under five minutes. Steinborn says the ambition extends beyond automating existing processes: Smartstream intends to rethink the core of its products with AI in the middle rather than added as an afterthought, so that reconciliation evolves from a retrospective exercise into something closer to an always-on control layer.