Why we're sharing this
We believe the best way to demonstrate expertise is to share how we think. Not the sanitised version. The actual thinking - the patterns we see, the problems we'd solve, and the architecture we'd build.
What follows is a solution concept that Digital Experience Labs has developed based on real workflows and operational challenges observed across multiple engagements in the Australian general insurance sector. We share it because the pattern is universal.
The problem
In general insurance, the people responsible for assessing risk, placing business, and advising clients spend a disproportionate amount of their time on data preparation. Proposal data arrives in inconsistent formats. Information is rekeyed between systems. Documents are chased. Quotes come back in different formats and have to be manually compared.
The actual value - the risk assessment, the advice, the relationship, the decision - gets whatever time is left.
This is the Decision Pyramid in action. The bottom of the pyramid - effort - consumes roughly 70% of the team's capacity. The top - the decisions the business exists to make - is squeezed into the remaining 30%. Read more: The Decision Pyramid
Who this affects
For the broker: preparing and submitting proposals involves gathering data from multiple sources, formatting it to each insurer's requirements, and chasing responses. The broker's value is in advice and relationship - but most of their day is spent on administration.
For the insurer's internal teams: receiving those proposals means dealing with inconsistent data, incomplete submissions, manual re-entry, and fragmented systems.
The solution pattern applies to both sides of the relationship.
Does this sound like your operation?
We'd welcome the chance to explore whether this pattern applies to your organisation.
Start a conversationWhat the full lifecycle looks like
We mapped the end-to-end lifecycle of a general insurance placement. Toggle between "Today" and "With the Decision Pyramid" to see what changes.