DXC Expands AI Capabilities And Insurance Platforms With London Centre And Hiring
DXC Technology (NYSE:DXC) has opened a Customer Experience Centre in London to help clients scale AI solutions. The company is also hiring 150 AI specialists across the UK and Ireland. In parallel, DXC is expanding its partnership with PoloWorks to support digital onboarding of new Lloyd's syndicates through the DXC Assure Commercial & Specialty platform.
What's new
- London Customer Experience Centre focused on building and scaling enterprise AI use cases.
- 150 AI roles added across the UK and Ireland to meet rising project demand.
- Extended collaboration with PoloWorks to enable digital onboarding for new Lloyd's syndicates on Assure Commercial & Specialty.
Why this matters for insurers
- AI has moved from pilots to core operations-underwriting, claims, and finance need production-ready tooling and data flow.
- Digital onboarding for Lloyd's participants signals cleaner data intake, faster approvals, and fewer manual touchpoints.
- DXC's mix of IT services and sector platforms means tighter alignment between delivery teams and the software stack you run in the market.
What to ask your teams (and vendors) now
- Onboarding: How will digital onboarding integrate with our binder, KYC/sanctions, and compliance workflows for new or expanding syndicates?
- Data: What core data elements, reference data, and document standards are required for straight-through processing? Where are the gaps?
- AI Ops: Do we have model governance, monitoring, and audit trails in place to support production AI across underwriting and claims?
- Interoperability: How does Assure Commercial & Specialty connect with our policy admin, bordereaux, claims, and finance systems (APIs, events, or batch)?
- Security & privacy: Where will data be processed and stored? What are the controls for PHI/PII and cross-border transfers?
Practical moves you can make this quarter
- Stand up a small "use case factory" with the new centre: 1 underwriting triage model, 1 claims document intelligence flow, 1 customer servicing bot-measured by cycle time and STP.
- Map onboarding steps for a new Lloyd's entity and remove redundant approvals or duplicate data entry before you automate.
- Create a minimal AI governance pack: model cards, drift thresholds, escalation paths, and retention rules.
- Negotiate outcome-based SLAs with vendors that tie effort to measurable business metrics (quote turnaround, FNOL-to-settlement time, leakage).
Metrics to watch
- Onboarding cycle time for new syndicates and MGAs (days to live).
- Straight-through processing rate for submissions and claims.
- Model performance and drift (precision/recall on target workflows).
- Operational cost per policy bound and cost per claim settled.
- Customer effort score (especially for complex commercial lines).
Lloyd's market context
Digital onboarding connected to the Lloyd's ecosystem suggests closer alignment to market processes and data standards. For teams operating in or with the market, this can reduce friction at bind, bordereaux, and claims reconciliation stages. See the Lloyd's market for broader context on syndicate operations.
For those tracking NYSE:DXC
These moves point to where DXC is concentrating time and capital: AI talent, delivery scale, and insurance platforms used in live market workflows. This is useful context for understanding the company's role in client digital transformation and the potential breadth of its future deal pipeline. It is not a statement about financial outcomes.
Keep building your edge
If you're standing up AI inside underwriting, claims, or operations, this resource can help: AI for Insurance.
This content is general information and not financial advice. It doesn't consider your objectives or financial situation.
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