Companies of all sizes and sectors are exploring AI analytics use cases in their businesses, with mixed results.According to a 2023 study by McKinsey¹ in the insurance sector, only 4 of 59 companies surveys were considered Top Performers when it comes to capturing material value from their AI initiatives. The majority (59%) have proofs of concept tested and implemented, with the ambition to implement a pipeline of AI use cases at scale. Only 19% have automated AI used for most decisions, with AI engines integrated with core systems. Many insurers are stuck in ‘pilot purgatory’, and no organisation described itself a fully analytics-driven. We seen the same pattern in many companies in Singapore in Asia-Pacific.
The good news is, we understand the underlying problems and how to tackle them. We’ve made it our mission to help clients to:
Increase the chances of successful execution and realisation of expected benefits in the shortest possible timeframe; and
Build the structure and capabilities necessary to continue expanding use cases and capturing value on a sustainable basis
Hence we offer solutions and services in 3 key areas: