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L&T Infotech - RPA and AI in Banking BPS

Vendor Analysis

by Andy Efstathiou

published on Oct 27, 2016

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Report Overview:

This NelsonHall assessment analyzes L&T Infotech's offerings and capabilities in RPA and AI services for the banking industry. L&T Infotech of a number of banking services vendors analyzed in NelsonHall’s comprehensive industry analysis programs. 

Who is this Report for:

NelsonHall’s Retail Banking BPS Vendor Assessment for L&T Infotech is a comprehensive assessment of L&T Infotech’s RPA and AI offerings and capabilities for the banking industry designed for:

  • Sourcing managers monitoring the capabilities of existing suppliers of RPA and AI services and identifying vendor suitability for banking industry (consumer banking, commercial banking, and capital markets) RPA and AI services 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 L&T Infotech’s RPA and AI services for 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:

This NelsonHall assessment analyzes L&T Infotech’s offerings and capabilities in RPA and AI services for the banking industry. L&T Infotech is one of a number of banking services vendors analyzed in NelsonHall’s comprehensive industry analysis programs.  

L&T Infotech has been active in implementing RPA and AI for banking clients over the past nineteen months. The initial impetus came from a U.K. headquartered global bank as part of the bank’s automation initiative. The bank sent out an RFP, but initial discussions focused on identifying what options were possible and then trying to match these to the bank’s business roadmap for the long term.  

Ultimately, L&T Infotech and the client identified loan operations as a pilot for an automation initiative. In loan operations, indexing was identified as the first target for RPA. A POC was developed and deployed, then it went to full production.  

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