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Ikano Bank saves 100,000 hours annually by scaling RPA across 8 countries

“Ikano Bank saves 100,000 hours annually by scaling RPA across 8 countries” documents a Process Automation & Operations deployment in Retail at Ikano Bank. www.uipath.com reports hours saved (2021 target): 100,000; this directory has not independently verified that result.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
3 cited below
Directory entry published:
Source link checked:

The source-link check confirms reachability, not independent re-verification of every claim.

100,000Hours Saved (2021 Target)
300%KPI Exceeded (2020)
50,000New Customers via IKEA Financing Bot

Source-reported figures — cited source: www.uipath.com

The Challenge

Ikano Bank faced heavy administrative burdens from manual processes across 8 European countries, serving a large customer base and 1,100 employees. Automation efforts had emerged in isolated pockets across IT and finance departments, but a lack of coherence and governance prevented meaningful progress. Employees had grown skeptical after an extended period of promises with little tangible delivery.

The Solution

Ikano Bank established a centralized Automation Office and adopted UiPath as its single RPA platform. The team deployed 15 initial bots in six months to rebuild confidence, then scaled across all 8 countries with 40 automation collaborators acting as champions in each business unit. Key automations included name-change record updates, COVID-19 payment deferral processing, and real-time IKEA financing eligibility checks via API integration.

Results

By 2021, Ikano Bank had automated 100 processes, saving 33,500 hours in one year—exceeding 2020 KPIs by 300%—and targeting 100,000 hours saved for 2021. The IKEA financing bot attracted 50,000 new customers over a relatively short period. A CRM-to-broker API bot for the Danish branch was projected to generate 30 million DKK in sales. Robots were deployed across all 8 countries.

Key Takeaways

  • Start with quick wins to rebuild employee confidence before attempting enterprise-wide scale; deploying 15 low-hanging fruit bots in a short timeframe was the turning point.
  • Embedding automation champions in every country and department is critical for identifying high-value processes in locally-specific IT environments.
  • COVID-19 created an unexpected forcing function that demonstrated RPA's business continuity value, with payment deferral bots responding to customers in under a minute.

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Details

Industry
Retail
Company Size
MidMarket
Company
Ikano Bank
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published
Source link checked

Cited source

www.uipath.com

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