DEBUG: PAGE=domain, TITLE=Banking Automation,ID=1586,TEMPLATE=subprogram
toggle expanded view
programcode = BANBKA
programid = 320
database = f
alerts = t
neat = t
vendors = t
forecasting = f
confidence = f
definitions = f

Search within: Banking Automation:

Access our analyst expertise:

Only NelsonHall clients who are logged in have access to our analysts and advisors for their expert advice and opinion.

To find out more about how NelsonHall's analysts and sourcing advisors can assist you with your strategy and engagements, please contact our sales department here.

Subscribe to blogs & alerts:

manage email alerts using the form below, in order to be notified via email whenever we publish new content:

has Database = f has Confidence = f -- IGNORED

Wipro- The Advance of RPA and AI in Banking

Vendor Analysis

by Andy Efstathiou

published on Dec 10, 2018

Access to this report is restricted to logged in clients with access. Login to get full access

Report Overview:

This NelsonHall assessment analyzes Wipro’s offerings and capabilities in RPA and AI in Banking. Wipro is one of a number of RPA and AI services companies analyzed in NelsonHall’s comprehensive industry analysis programs. 

Who is this Report for:

NelsonHall’s The Advance of RPA and AI in Banking Vendor Assessment for Wipro is a comprehensive assessment of Wipro’s RPA and AI in Banking offerings and capabilities designed for:

  • Sourcing managers monitoring the capabilities of existing suppliers of capital market process outsourcing and identifying vendor suitability for RPA and AI in Banking RFPs
  • Vendor marketing, sales and business managers looking to benchmark themselves against their peers
  • Financial analysts and investors specializing in the support services sector.

Scope of this Report:

The report provides a comprehensive and objective analysis of RPA and AI in Banking offerings, capabilities, and market and financial strength, including:

  • Identification of the company’s strategy, emphases and new developments
  • Analysis of the company’s strengths, weaknesses and outlook
  • Revenue estimates
  • Analysis of the profile of the company’s customer base including the company’s targeting strategy and examples of current contracts
  • Analysis of the company’s offerings and key service components
  • Analysis of the company’s delivery organization including the location of delivery locations.

Key Findings & Highlights:

Wipro began developing its RPA and AI capabilities in 2010 by developing solutions for big data and NLG internally. In 2014, Wipro released the HOLMES cognitive intelligence platform. HOLMES’ NLG functionality was first used internally in Wipro’s customer service desk offering.

In 2014 mid Wipro implemented its first RPA deployment at a financial services client. Wipro deployed a complete automation and RPA COE, Process assessment and Simplification led Automation team which has scaled up to more than 150+ bots today.

In late 2015, Wipro implemented its first AI deployment at a banking client. The bank requested a KYC POC. Wipro deployed several POCs at this time. In January 2016, the KYC offering was put into full production in this client and thereafter the KYC offering has been deployed at more than four banking clients globally.

Login to get full access:

close