Automating claims is one of the clearest returns available in insurance, and one of the easiest to overreach on. The engineering question is not how much can be automated but where the boundary sits and how the system behaves at it.
Automate the simple majority
Most claims portfolios contain a large share of low-value, well-evidenced, unambiguous claims. Settling these automatically frees assessors for the complex remainder, which is where their judgement is worth paying for. The gain comes from reallocating attention, not from removing people.
Automation should buy assessor attention for hard claims, not eliminate assessors.
Route by value and ambiguity, both
A cheap claim with contradictory evidence should be reviewed; an expensive one that is entirely routine may still warrant a look. Routing on value alone misses the first case, and it is the case where automated approval creates the most reputational and fraud exposure.
Extraction with confidence, not certainty
Claim documents arrive as photographs, scans and PDFs in every layout. Extract to a schema, score each field, validate against expectations, and send low-confidence values to a person with the document alongside. A system that knows what it is unsure about is far more valuable than one that is marginally more accurate and silent.
Every automated decision needs a record
When a claim is settled or declined automatically, you must be able to reconstruct what evidence was considered and which rule applied. This is a regulatory expectation and a practical necessity — the first disputed automated decision will require exactly this, and it cannot be produced retrospectively.
Prepare the human's work, do not replace it
For claims going to review, the automation should still do the legwork: extract the fields, pull the policy, surface the history, flag the anomalies. An assessor opening a fully prepared case decides in minutes rather than assembling context for an hour.
Widen the boundary on evidence
Start conservatively, monitor the outcomes of automated decisions, and expand the automated band only where the record shows sustained accuracy. Expanding on optimism rather than measurement is how a well-built claims system produces its first serious incident.
