Insurance’s Hyperautomation Shift
Insurance asset managers face low growth and yield post-Covid. Embracing hyperautomation—AI, RPA, and process mining—drives efficiency, reduces costs, enhances data insights, and sustains transformation using the ADKAR change model.
Diminishing growth, as well as a low rate-low yield environment, are just two of the challenges insurance companies are facing on their investment side in the wake of the coronavirus pandemic.
These combined pressures have forced investment management firms to better explore how efficiencies can be gained by reducing operating costs. One way for insurers to respond to these challenges and reduce costs in a post covid era is by investing in their digital transformation strategy - with a clear focus on hyperautomation.
Hyperautomation is the application of advanced technologies like RPA (robotic process automation), artificial intelligence, machine learning and process mining that digitally transform operations and automate processes that traditionally have been manually performed by humans.
Also referred to as intelligent automation, disruptive hyperautomation technologies hold the key to increasing productivity, optimising operations and ultimately reducing costs.
Hyperautomation can fundamentally transform and disrupt how Insurance Asset Management companies operate from the bottom up. As well as helping reduce operating costs, digital transformation technologies such as AI and RPA can also help companies to consume and scrub data to better analyse portfolio valuations and insurance risk, and more rapidly respond to industry crises.
In order to implement RPA and other…
Create an account to continue reading
Create AccountAlready have an account? Sign in
Need an expert in this space?
Talk to an Industry Expert
Knowledge Ridge connects decision-makers with carefully vetted subject matter experts for one-on-one calls, research sprints, and advisory engagements — across 11 sectors and 163 sub-industries globally.
Comments
No comments yet. Be the first to comment!