Private AI for insurers and claims handlers
Insurers and claims teams handle some of the most sensitive personal data there is — health details, financial loss, identities. Faylo lets your team put modern AI to work on real claim and policy files, without identifiable data ever leaving the organisation in readable form.
The tension in claims and underwriting
Special-category data, public models
Claims files mix names, BSNs, medical notes and payment details. Pasting them into a public chatbot sends special-category personal data to a third party — with direct GDPR exposure.
Volume you can’t triage by hand
AI can summarise a claim, flag inconsistencies and draft a decision in seconds. The insurer that adopts it safely clears backlogs; the one that waits drowns in them.
How Faylo helps
- 01
Pseudonymisation before egress
Policyholder names, BSN, policy and claim numbers and IBANs are deterministically tokenised before a single token reaches the provider.
- 02
Reasoning on the whole file
Because tokens are consistent, the model reasons across the entire claim — the same person, the same policy — at full quality, without any re-identifiable value.
- 03
Auditable for your DPO
Every refraction and resolution is logged in your tenant, so you and your data protection officer can reconstruct exactly what was tokenised.
Watch a real claim file pass through Faylo
A liability claim with a policyholder, BSN, policy number and IBAN — pseudonymised before the model, restored locally in the answer.
Policyholder M. de Vries (BSN 999995649) filed a liability claim under policy POL-2024-88213. Assessed damages are €12,400, to be paid to IBAN NL44 RABO 0123 4567 89.
Can you summarise this claim and flag anything that needs checking before payout?
The provider never receives a name, number or account it could re-identify.
See Faylo on your own files
Book a short pilot in your own environment — your real workflows, nothing leaving your tenant in the clear.