AI case study

DeluxeData reconciliation

Data matching failed past 30 concurrent jobs. An event-driven AI platform handles hundreds, processing 100M records in hours, not weeks.

Published|today

Key results

Monthly Search Cost
$700
vs $75,000
Cost Per Million
$1
Cost Reduction
>99%

Result highlights

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The story

Context

A payments and data provider processes massive volumes of routine reconciliations and high-frequency matching operations for millions of small businesses and thousands of financial institutions.

Challenge

The existing 24/7 data matching platform struggled with accuracy and could not reliably handle more than 30 concurrent workloads without triggering...

Solution
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Quotes

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The company

Payments and data technology provider for banks and small businesses.

IndustryFinancial Services
LocationMinneapolis, MN, USA
Employees5K-10K
Founded1915

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

The implementation partner

Impetus Technologies logo

Impetus Technologies

impetus.com
Role in this case study

Redesigned and rebuilt Deluxe's core matching platform on AWS to improve scale and performance.

IndustryTechnology
LocationLos Gatos, CA, USA
Employees1K-5K
Founded1991

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