Why “Workflow” Is the Wrong Word. For years insurance operations have been framed through workflow by defining the process, automate the steps and move work from one stage to the next. That worked when work was predictable, linear, and largely contained but it is no longer that simple. Today, most

In many organisations, “human in the loop” has become the default answer to AI risk.  It is intended to reassure but t suggests that, even as automation increases, a person remains involved in important decisions. The phrase can be misleading. “Human in the loop” implies that a system operates first,

Operational improvement programmes in insurance often focus on speed with faster intake, more automation and higher throughput.  These improvements matter, but speed alone does not create control. In most complex operations, service levels are not missed because teams are unwilling to work hard, it is because work spends a significant

AI Creates Signals. It Doesn’t Own Outcomes Across the global insurance landscape, the adoption of artificial intelligence is moving beyond the experimental stage. Insurers are now deploying models that summarise complex claim files, extract information from legacy documents and predict claim severity with increasing accuracy. In operational environments such as

“Just Upload a Photo” is the right start Over the past few years, claims transformation has focused heavily on digital front doors. Better portals and forms, better mobile upload experiences; and that matters. But the most powerful claims experiences are not defined by how a customer submits information. They are

Insurers have invested heavily in broker portals over the past decade and brokers have adopted them. Submission capture has improved, data quality has improved. The front door into underwriting is more structured than it has ever been. And yet, friction in the broker/insurer relationship hasn’t disappeared. That’s because the most