Corpay brings AI assistant to UK finance teams to cut admin load

Corpay's new plain-language Virtual Assistant targets the six-plus hours UK finance teams lose weekly to manual spend admin.

A brightly lit conference room features a long wooden table surrounded by gray chairs, with a large whiteboard, a wall clock, and a tablet in the foreground.

Corpay, the S&P 500 corporate payments group listed on the NYSE, has launched an AI-powered Virtual Assistant for UK finance teams, embedded within its Corpay Complete platform. The tool allows users to query card spend, expense reports, supplier payments and approval queues in plain language, surfacing the relevant data or triggering the relevant workflow without requiring manual navigation of the underlying platform. The launch is backed by Corpay-commissioned research among 300 UK CFOs, which found that 86% of finance teams spend six or more hours per person, per week on expense, invoice and supplier payment administration, with 83% reporting their spend processes remain more manual than they ought to be.

The tool sits within Corpay Complete, a platform that combines corporate cards, virtual cards, accounts payable automation and cross-border payments in a single environment with ERP integrations. Every action the Virtual Assistant proposes requires explicit user confirmation before anything is approved, rejected or submitted, with access governed by each user's existing role and permissions. The company says the intent is to reduce time spent searching, not to remove human control from financial decisions.

Agentic finance workflows enter the mainstream

"Finance teams don't need more information. They need quicker access to the information that matters," said Piero Macari, Vice President of Products at Corpay. "With the Virtual Assistant, finance teams can ask a question in plain language and find exactly what they need, whether that's a report, a spend pattern or an approval task, without digging through the platform."

The launch reflects a broader shift in enterprise software toward what is increasingly called agentic workflow design: moving beyond dashboards and search interfaces toward conversational, intent-driven task execution. In corporate finance specifically, the friction point has long been the gap between where data lives and where decisions get made. Natural-language query layers, pioneered in consumer search and now migrating into B2B platforms, are beginning to close that gap. Corpay's implementation is constrained and confirmatory by design, which distinguishes it from more autonomous agent frameworks being piloted elsewhere in enterprise resource planning.

Cross-sector read-across: fintech meets the agentic enterprise

The broader strategic context here extends beyond payments software. The deployment of conversational AI on top of financial operations platforms is part of a larger wave reshaping how mid-market and enterprise finance functions are staffed and structured. As AI layers reduce the manual overhead of routine spend governance, the role of the finance team shifts toward exception handling and strategic analysis. That has implications not only for fintech platform vendors competing with Corpay in the UK market, but also for enterprise resource planning incumbents, workforce planning consultancies, and the audit and compliance technology firms whose tools sit downstream of the payment and approval workflows these assistants now touch.

For capital allocators tracking the agentic-AI opportunity across verticals, corporate payments is a relatively de-risked entry point: the data sets are structured, the workflows are rule-bound, and the confirmation-gate model limits liability exposure. The question for Corpay and its peers is whether conversational interfaces become a genuine switching cost, or whether they commoditise quickly as every platform vendor adds a similar layer. The UK CFO research gives Corpay a useful demand-validation anchor, though the sample was commissioned rather than independent, and the six-hours figure should be treated as directional rather than audited.