Insurance — AI, data & automation
Make legacy information usable and support document-heavy insurance workflows.
A practical delivery view
Move legacy data
A delivered insurance engagement migrated petabyte-scale legacy databases in four months with zero production downtime. These results belong to that engagement.
- Legacy database migration
- Reconciliation and validation
- Production continuity
Support the paperwork
Insurance assistance and document processing can support staff and customers when their intended use and review responsibilities are clear.
- Document processing
- Insurance assistance
- Workflow automation
Review the information boundary
Claims and policy information can be sensitive. Access, retention and output validation need to be agreed around the actual workflow.
- Data-access review
- Human oversight
- Integration requirements
What holds insurers back
Insurers keep data for a long time. Policies written many years ago still need servicing, so old databases stay in production long after their technology has aged. Each new product tends to add another system. Reporting slows, changes become risky and new AI projects cannot reach the history they need. Meanwhile claims and underwriting teams handle large volumes of documents by hand. Modernising the data layer is usually the step that makes other improvements possible.
- Old databases still in production
- A new system for every product
- Slow reporting and risky changes
- Document-heavy claims and underwriting
What we delivered for a leading insurance group
For a leading insurance group, we migrated databases dating from 2003 to a modern, scalable ETL pipeline and architecture, at petabyte scale. The complete transfer finished with zero production downtime, within 4 months of project start. Those figures describe that engagement and are not a promise for others. A migration of this kind depends on careful mapping of old structures, validation at each stage and a cutover plan that keeps the business running.
- Databases dating from 2003
- Petabyte scale
- Zero production downtime
- Complete within 4 months of project start
Other applications, and how to start
Beyond migration, applications include document processing for claims and policy paperwork, automation of repetitive servicing steps, and assistants that answer staff questions from your own policy documents. These are areas where our AI and automation services can apply, and each is scoped against your own workflow. To start, bring one legacy system or one document-heavy process to a short call, or request the free AI readiness report.
- Claims and policy document processing
- Automation of servicing steps
- Short call or free readiness report
Questions that come up
Can a legacy insurance database be migrated without downtime?
It can be planned for. In our engagement for a leading insurance group, the complete transfer finished with zero production downtime. Whether that is achievable for you depends on your systems, data volumes and how the cutover is designed.
How long does a migration take?
It depends on data volume, the number of source systems and how well the old structures are documented. One petabyte-scale engagement finished within 4 months of project start. We do not quote a timeline until we have reviewed your environment.
What happens to data quality during migration?
Migration exposes old problems: duplicates, missing fields and codes nobody remembers. We map and validate the data, reconcile source against target and agree with you how each kind of issue is handled. The aim is that nothing is dropped or changed without your knowledge.
Where else can AI help an insurer?
Applications include reading and classifying claims documents, automating repetitive policy servicing steps and giving staff an assistant grounded in your own documents. Each needs clear review responsibilities, because claims and policy decisions carry consequences for customers.
Let’s talk about your next step.
The workflow, the data and what needs to change.