INSURANCE PRACTICE
The data foundation insurance has been missing.
Across brokerage, personal lines and reinsurance, the technology exists. The blocker is fragmented, unstructured and ungoverned data sitting beneath it. We fix that.
OUR VIEW
A joint hypothesis across the market
When we mapped the challenges our clients face across every segment of insurance, the same root cause kept surfacing — regardless of whether the conversation was about pricing, claims, placement or compliance.
The insurance industry has invested heavily in platforms, but not in the data foundations those platforms require. Across brokerage, personal lines and reinsurance, the technology exists — the blocker is fragmented, unstructured and ungoverned data sitting beneath it.
Modern platforms are already in place. What is missing is the data and operating model needed to run them under today’s regulatory and AI pressures.
Problem
What we see across every segment
Four problems repeat themselves — almost word for word — whether we are talking to a tier 2 broker, a personal lines carrier or a global reinsurer.
We can't trust or connect our data
The root cause behind almost every use case. Data arrives in inconsistent formats, sits in siloed systems and lacks the lineage and governance to be relied upon for pricing, reporting or AI.
Reinsurance — cedant exposure data
Brokerage — client submissions
Personal lines — policy & claims silos
AI is desired everywhere, blocked everywhere
Automated claims, document extraction, rating models, risk modelling — all are on the roadmap across every segment. All are stalled by the same thing: data that isn't structured, governed or consistent enough to feed models reliably.
Risk modelling
Risk modelling
Claims automation
Document extraction
Manual process as a symptom of data debt
Invoice re-keying, claims document review, treaty contract extraction — these look like separate operational problems. They are all the same gap: no reliable automated path from unstructured source to system of record.
Brokerage — invoice re-keying
Personal lines — claims review
Personal lines — claims review
Real-time insight is universally out of reach
Portfolio risk visibility, underwriting accuracy, consulting effectiveness — all are blocked not by analytical tools but by pipelines that cannot deliver trusted, timely data to the people who need it.
Reinsurance — portfolio risk
Personal lines — underwriting
Brokerage — risk consulting
WHERE WE WORK
Use cases by segment
The same data foundation challenge plays out differently depending on where you sit in the market. Here is what we are seeing — and solving — across the three segments we work in.
SEGMENT 01
Brokerage
01
Data strategy and governance frameworks
AI / data ingestion
02
Turning unstructured data into structured output for carrier rating
AI / machine learning
03
Invoice processes are slow and costly
Process optimisation
04
Cannot see data risks in real time — hinders consulting effectiveness
Data consolidation
05
Enterprise licences underutilised — paying for unused technology
Application mapping
06
Making client data comparable with the product they purchase
Data lineage & mapping
07
MGA books run in spreadsheets — need fast PMS ingestion
Data ingestion / PMS
08
Poor PMS selection and implementation — driven by relationships not fit
Capability & vendor review
SEGMENT 02
Personal Lines
01
Fragmented data estates prevent accurate risk pricing and underwriting
AI / data ingestion
02
Claims handling is slow, manual and expensive — unstructured data at scale
AI / machine learning
03
No unified customer view across policy, claims and engagement channels
Process optimisation
04
Legacy policy admin systems limit product agility and speed to market
Data consolidation
SEGMENT 03
Reinsurance
01
Exposure and catastrophe data arrives in inconsistent formats from cedants
Data ingestion & exposure management
02
Portfolio risk and catastrophe modelling is slow due to legacy platforms
Cloud-based modelling & analytics
03
No real-time visibility into portfolio risk across geographies
Real-time data products
04
Treaty and facultative placement relies on manual document processing
AI document processing & automation
