{"id":3300,"date":"2017-12-12T16:11:52","date_gmt":"2017-12-12T16:11:52","guid":{"rendered":"https:\/\/www.peeriosity.com\/shared-services\/articles\/?p=3300"},"modified":"2022-09-06T19:18:06","modified_gmt":"2022-09-06T19:18:06","slug":"rpaai-%e2%80%93-2017-status-and-2018-objectives-for-shared-services","status":"publish","type":"post","link":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2017\/12\/rpaai-%e2%80%93-2017-status-and-2018-objectives-for-shared-services\/","title":{"rendered":"RPA\/AI \u2013 2017 Status and 2018 Objectives for Shared Services"},"content":{"rendered":"

Introduction<\/strong><\/span><\/p>\n

Most will agree that knowing the actual details of how your peers are designing work processes and implementing new technologies will provide the clearest road map for a successful implementation<\/a>.\u00a0 By developing an accurate perspective on what is possible, what the obstacles are, and the possible missteps along the way that are best avoided, it\u2019s possible to move from novice to expert before you take the first step. Yes, your company might be the outlier that is able to \u201crun further and faster\u201d with a fraction of the effort, and without any stumbles along the way, but why take that risk?<\/span><\/p>\n

When it comes to Robotic Process Automation (RPA) and Artificial Intelligence<\/a> (AI), separating fact from fiction, and knowing the detailed experiences of your peers is critical to achieving the best possible outcomes.\u00a0 Fortunately, members of Peeriosity\u2019s RPA & Artificial Intelligence best practice research community are well positioned to understand and learn from the actual experiences of leading peers.\u00a0 All within the safety and security of being part of a private professional research network, with access restricted to peer practitioners.<\/span><\/p>\n

A recent Peeriosity PeercastTM<\/sup> discussion in our RPA & Artificial Intelligence research area featured three leading companies, each with significant RPA experience<\/a>, sharing candidly their experiences in 2017 and their plans for 2018.\u00a0 The discussion was interactive, with many questions and comments from peers.<\/span><\/p>\n

iPollingTM<\/sup> Results Review
\n<\/strong><\/span><\/p>\n

A supporting Peeriosity poll created using the iPollingTM<\/sup> technology explored the current status regarding the use of RPA\/AI technology in Shared Services at member companies.\u00a0 The results indicate that 9% report that RPA\/AI technology is fully operational, with dedicated resources and strategy in place.\u00a0 41% of members report that RPA\/AI technology is being tested and\/or implemented now, with resources and strategy under development.\u00a0 Finally, 15% indicate interest with no progress yet, and the remaining 6% haven\u2019t yet considered the opportunity.\u00a0 Here are the details:<\/span><\/p>\n

\"iPolling:<\/p>\n

Regarding plans for 2018, 24% of member companies indicate that they will continue on an aggressive implementation path, with an additional 28% reporting that they will be taking their projects to a fully operational level.\u00a0 Of the remaining 48% of member companies, half will begin developing their strategy and testing various solutions, while the remaining 24% is evenly split between proceeding with due diligence, or having no plans for RPA\/AI in 2018.<\/span><\/p>\n

\"iPolling:<\/p>\n

Here are a few of the comments from Peeriosity members:<\/span><\/p>\n