How Qurrent Uses AI to Own Finance Operations

In this article, you’ll discover:

• How Qurrent handles millions of complex tasks.
• Why having messy data doesn’t get in the way.
• The secret to getting perfect accuracy every time.
• How these tools can go live in just weeks.

Managing a large company’s finances is a high risk operation. A single mistake in a spreadsheet can literally cost millions of dollars. Fortunately, finance teams have a better alternative to manual data entry. Qurrent deploys digital workforces that take on this repetitive work end-to-end, and they get better the more they run. To date, they have already automatically completed over 13 million finance tasks for their clients. Let us look at how they do it.

Stopping Errors Before They Start

When dealing with massive payments, companies must have nothing less than total accuracy. What’s standing in the way is the state of the information: fragmented, inconsistent, or worse, just plain wrong. Qurrent’s job, then, is making sure bad inputs never become bad outputs. Their digital workers apply strict rules and policies to complete tasks accurately every single time. This handles the tedious, time-consuming work so finance teams can focus on tasks that need interpretation.

Verified Outcomes from Actual Deployments

Organizations often buy software and just hope it saves money like they were told. Qurrent takes the opposite approach. They guarantee their work with firm promises and clear SLAs. If something goes wrong, Qurrent owns it. They take responsibility for the final outcomes, which changes the whole relationship.

“CFOs tell us the same thing: they’re being asked to get more efficient, and the AI investments they’ve made haven’t shown up on the P&L yet. We built Qurrent to change that. You don’t need perfect data, documented SOPs, or an AI team. You need a partner that runs the work for you, end to end.” – Colin Wiel, CEO & Co-founder at Qurrent

Fixing a Massive Payout System

Let us look at a real example. A large advertising company was handling $2 billion dollars in payouts to their partners by hand. They were using complex formulas across multiple spreadsheets for their 775 partners. Payment errors were commonplace and carried with them real financial risks. Qurrent’s solution was to set up a connected system of digital workers to manage contracts and track payments. The result: 100 percent calculation accuracy, contract ingestion 84 percent faster, and payouts happening in hours versus days.

You Do Not Need Perfect Data

A lot of companies are hesitant to adopt new systems like this. They think their files must be in perfect order first. Qurrent works with the data you already have, no matter how messy. You do not need a complete map of your entire workflow to get started. Their digital workers are given the rules to understand how your team handles specific problems or processes causing the most friction. It continually builds its knowledge of your processes as it goes, with customers leading the conversation of which aspect of their operations that gets automated next.

Rapid Setup for Rapid Growth

Legacy approaches can take months to look at your processes and that’s before they even begin. Qurrent gets to work in just a few weeks. Because their digital workers already understand finance operations, they’re never starting from zero. Instead, Qurrent’s digital workers are learning how your workflows are connected and how one tool talks to another. This allows for rapid setup, helping finance teams reap the benefits quickly and scale critical operations without having to hire more people.