Industries
See the patterns behind every loss.
Insurers and brokers handle claims, losses and near-misses at volume. Logincident makes capturing that data effortless, then visualises loss patterns and emerging risk so nothing slips by unseen.
The challenge in claims data
Loss data arrives fragmented
The detail that explains a loss is often captured in the clunkiest way possible. Paper, inboxes and disconnected spreadsheets mean claims and near-miss data arrive late, and the patterns within them are lost.
- Claims and near-misses captured late, or not at all
- Loss data scattered across inboxes and spreadsheets
- Reports that take days to compile for audit
- No single view of loss patterns and emerging risk
Portfolio · Property
Loss reportedBuilt for insurance
Capture the loss, visualise the risk.
Configure once for your standards, then capture and analyse loss data across every portfolio.
Capture anywhere
Mobile, QR and conversational reporting at the point of loss, even offline.
Portfolio visibility
A live view of claims and loss data across every portfolio from one dashboard.
Spot the patterns
Charts and AI surface loss patterns and emerging risk across the book.
What you can report
Capture and visualise the whole picture.
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What does this give us at first notification of loss?
A structured record captured at the scene rather than reconstructed later: the facts, the time, the location, annotated photographs and, where relevant, injury marked on a body schematic or damage on a vehicle diagram. The quality of an FNOL record largely decides what the claim costs.
Can we analyse data from our own systems alongside this?
Yes. Data Visualisation reads data Logincident did not capture as well as data it did, which is the practical requirement when loss data is spread across insurers, brokers and administrators.
Can we see emerging risk rather than just past losses?
That is the aim of reading leading indicators alongside claims. Near misses and hazards are the events that come before a loss, and they are only useful if somebody is capturing them.
