720723Artificial Intelligence for email Messaging (AIM)ClosedGRD Development of PrototypeInnovate UKUK work output is 25% below G7 average, and work-related stress is key, with 34% of UK employees suffering from workplace stress and subsequent poor productivity (Forbes, 2014). Days off due to stress related conditions have risen over the past 3 years, now costing UK business £70 billion each year (Huffington Post, 2014). Professor Gloria Mark (University of California) contends email overload is a top ten stressor. Over 113 billion business emails are sent globally every day, and workers struggle with the demand. Annual global losses incurred by businesses due to lack of productivity and inefficiencies associated with email cost the global economy £1.2 tn (Radicati, 2014). In the UK, office workers receive on average of 121 emails daily and spend 28% of their time with email. 40% of UK office workers feel under constant pressure to check email (up to 36 times/hr) and 45% feel pressured to respond immediately, resulting in stress and frustration. As Professor Cary Cooper clearly states, email is damaging UK productivity and reducing quality of life. Industry accepts email as a problem (Gartner, 2015), as seen in Atos’ awardwinning “Zero email” campaign in which the company banned internal emails, thereby reducing the load by 60%. According to Forbes magazine, this measure increased operating margins by 15% (Forbes, 2015). Funded by an Innovate UK Smart Proof of Concept project, Fantoo worked with globallyrecognised thought leaders in the B2B email sector to prove the concept of its innovative solution using Machine Learning (ML) and Natural Language Processing (NLP) to resolve email overload. Fantoo will now develop a prototype to quantify productivity increase.