6 to 8 Years Autonomous Processing Back to Top
Analysis by Kimberly Harris-Ferrante
Description: Autonomous processing is the transformation of industry processes using a combination of solutions for speed, efficiency and removal of human tasks. It commonly leverages industry solutions, analytics and ML/AI, and automation technologies to achieve this goal. In insurance, this can be applied to common industry tasks such as policy issuance and claims processing, for example, to remove data entry and manual steps, leaving humans for key decision making, empathy and engagement. These are multistep processes where many niche solutions are normally needed, with processes hard coded into solutions. Using process solutions that support the next best action, workflow, triage, orchestration and exception processing help modernize these processes to meet digital business objectives. But, they are just at the beginning of moving to autonomous, where it is fully automated and intelligent without human involvement. No single solution provider will enable end-to-end autonomous processing. Instead, insurers will build out a collection of solutions and add their IP and plumbing to achieve autonomous processing.
Sample Vendors: Amelia; Appian; Five Sigma; IBM; Microsoft; omni:us; ServiceNow; Sprout.ai; UiPath, WorkFusion
Range: 6-8 years
Interest in autonomous processing is beginning now as insurers look for advanced phases of hyperautomation and as digital maturity grows. Insurers have been large adopters of automation solutions already. Many are looking to apply automation now for more complex tasks and to drive greater business results (see Quick Answer: Where Are the Growth Opportunities for Automation in Insurance?). Automation is moving beyond simply optimizing processes but transforming them to support enhanced CX and operational efficiencies. They must move from automation to autonomous operations to set the foundation for autonomous business, which is the next step beyond digital (see What Comes After Digital Business? Exploring the Era of Autonomous Business).
However, building autonomous processing capabilities is difficult to achieve, which is why the timeline to adoption is so long. This is due to a few reasons:
Gartner, Inc. | G00786204
Page 29 of 48
This research note is restricted to the personal use of abhishek.sharma@fractal.ai.
Made with FlippingBook - PDF hosting