Duco agentic AI cuts bank post-trade ops time by 76%

Twelve banks including BBVA and CIBC Mellon slashed reconciliation workloads in production trials, ahead of the T+1 settlement deadline.

By Disrupts Editorial Team Mon, 19 October 2026 AI level 2 of 5

AI level 2 of 5: drafted by our AI editorial assistant from the company's announcement; fact-checked, edited and signed off by Mark Walker, Editorial Director. What the levels mean

A brightly lit modern control room features a large, curved display wall showing numerous data charts, surrounded by multiple curved workstations, each with several monitors, keyboards, mice, black office chairs, and light wood desks with f

Duco, a London-based financial operations platform, has published results showing that 12 banks and financial institutions cut the time spent on manual post-trade reconciliation by an average of 76% using its agentic AI workspace in live production trials. Participating firms include BBVA, Blackstone Credit & Insurance and CIBC Mellon, all of which ran structured tests through Duco's Pacesetters programme, which launched in June 2026.

The headline figure masks even sharper gains in specific workflow categories. The company says clients achieved more than 91% time savings when building reconciliation processes from scratch, 84% in process optimisation, and over 73% across break workflow management and investigation. Post-trade reconciliation, which involves matching and resolving discrepancies across vast volumes of transaction data, has historically consumed significant headcount at large institutions. These figures, if they hold at scale, suggest the economics of that function are shifting materially.

Agentic AI meets rule-based rigour

Duco's approach combines its existing rule-based reconciliation engine with an agentic layer that can determine what tasks need doing and act on them autonomously, either through its own interface or via the Model Context Protocol (MCP), which allows clients to plug in their own AI agents in a "headless" model. The architecture is notable for attempting to preserve the auditability and predictability of rules-based systems while layering in autonomous decision-making above them.

Christian Nentwich, founder and CEO, framed the shift in terms of workforce transformation rather than pure efficiency: "Operations teams move from data wrangling to the judgement calls that matter most." Jeremy Hulme, Vice President of Operational Excellence at CIBC Mellon, added that the platform creates "an opportunity to reduce time spent on manual activity and give teams more capacity to focus on problem-solving, decision-making and continuous improvement."

T+1 as the macro accelerant

The timing is not incidental. Both the UK and the EU are scheduled to move to T+1 settlement, compressing the window between trade execution and final settlement from two business days to one, in October 2027. Under T+1, firms will have roughly half the time currently available to identify and resolve reconciliation breaks before they become costly settlement failures. That regulatory shift is functioning as a hard deadline forcing operations modernisation across the industry simultaneously, in a way that voluntary efficiency programmes have not.

For cross-sector investors and capital allocators, the Duco results are a data point in a broader thesis: that agentic AI, applied to the operational back-offices of regulated financial institutions, is moving from pilot to production faster than many observers expected. The financial services back-office is estimated to employ hundreds of thousands of people globally in exactly the kind of high-volume, rules-intensive, repetitive work that agentic systems are designed to absorb. If Duco's production-trial numbers translate to broader rollout, the workforce implications extend well beyond individual institutions.

There are also second-order effects for financial infrastructure vendors more broadly. Custody banks, prime brokers and fund administrators compete partly on operational resilience and error rates; a technology that demonstrably reduces reconciliation time by three-quarters creates competitive pressure to adopt or fall behind on a metric clients increasingly treat as table stakes. The T+1 deadline sharpens that dynamic considerably: firms that have not automated significant portions of their reconciliation stack by mid-2027 face a structural capacity problem, not merely an efficiency gap.

Duco's agentic workspace is now available to new and existing clients. The company is headquartered in London, with offices in New York, Wroclaw, Antwerp and Singapore, and reports more than 10,000 users across 30-plus countries processing billions of records weekly.