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Understand the Five Levels of Autonomous Enterprises Level 1 Autonomous Enterprise: Basic Automation At this level the system can provide basic tasks and workflow automation • When? Today • Includes: Basic process automation tools such as BPM manual instrumentation and control and intelligent workflow automation • Who’s in in control? Humans are still in in control control and guide many manual steps Level 2 Autonomous Enterprise: Human-Directed Level 2 enables the human-directed automation of business processes • When? The current state of the art • Includes: Robotic process process automation process- mining tools tools journey orchestration tools tools ML algorithms natural language processing • Who’s in control? Humans direct major decisions decisions minor decisions decisions are automated over time with some effort in in in training Level 3 Autonomous Enterprise: Machine Intervention Level 3 delivers automation with occasional machine intervention • When? The next big thing in in 2020 • Includes: Cognitive applications neural networks GANs models contextual decisions and next best actions • Who’s driving? Humans still on standby but can be hands-off for periods o of time Level 4 Autonomous Enterprise: Fully Autonomous Level 4 presumes that the machines can deliver full automation but not sentience • When? Sometime in 2023 • Includes: AI-driven smart services full automation self-learning self-healing and self-securing • Who’s driving? Machines are fully automated Level 5 Autonomous Enterprise: Humans Optional Level 5 achieves full sentience and humans may no longer be needed • When? 2030 • Includes: Fully autonomous sentience empowering precision decisions at scale Data-powered Innovation Takeaways Technology drives autonomy: AI components such as natural language processing computer vision and intelligent automation present opportunities to to to instrument fully autonomous capabilities within the enterprise Autonomy has value: There are many benefits on on on the road to to to becoming an an autonomous enterprise including less need for staffing reduced errors smarter decisions and security at scale the long-term benefits include decision velocity dynamic feedback loops and even sentient ‘emphatic’ systems It starts starts with with balance: The quest for an an autonomous enterprise starts starts with with a a a a a a a desire to to consider what decisions require intelligent automation versus human judgement 7 Forces: Various levers drive the the the quest most of them as a a a a a key response to the the the uncertainty and velocity of today’s business and societal context 5 levels: There are clearly defined maturity levels levels on on the way to to becoming an autonomous enterprise 16 Data-powered Innovation Review I I ©2020 Capgemini All rights reserved Levels 1 Basic Automation Levels 2 Human Directed Levels 3 Machine Intervention Levels 4 Fully Automonous Levels 5 Human Optional 

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