Intelligent automation: Promises, potential, and planning

Julie Sullivan discusses why planning around the business case, governance, and change management are critical to achieving IA success.

All types of intelligent automation technology (IA) – from basic process automation to advanced artificial intelligence – have the potential to deliver on their promises. And the respondents to KPMG’s 1Q19 Global Insights Pulse survey are bullish on embracing IA.

But the technology in and of itself is not the be-all, end-all. Enterprises can’t just build a bot, deploy a bot, and be done. They need to do a lot of strategic yet foundational planning in order to reap the transformational rewards.

In this podcast, Julie Sullivan, leader of KPMG’s Shared Services and Outsourcing Advisory practice in Canada, sat down to discuss:

  • Why organizations are struggling with building a compelling and realistic business case for IA investment – and why failure to address pre-existing conditions before the IA pilot is one of the chief problems
  • Where enterprises fall short in their governance, ownership, and partnership strategies
  • The critical components of change management in an IA environment. 


Companion content

Julie Sullivan

Julie Sullivan

Partner, Procurement and Business Services, KPMG Canada