Yet in the UK & Ireland, many firms remain cautious—only three in ten have taken AI beyond pilots (Bank of England, 2024). The barriers? Risk, compliance, and cost.
This session brings together leaders from the banking and insurance industries in customer experience, operations, and compliance. You’ll see how Small Language Models (SLMs) + Retrieval-Augmented Fine-Tuning (RAFT) make AI faster, safer, and far more cost-effective—helping you improve service today and scale into risk and operations tomorrow.
Uniphore discuss how to achieve sub-second replies (~180ms) in live chats and calls, with around 96% accuracy with errors reduced to just 1.2%, and 80–90% lower infrastructure spends. The session also covers how to bake in compliance from the start, keeping sensitive data secure and out of external databases.
For financial institutions, the impact is end-to-end: instant, compliant customer support; faster KYC and document processing; sharper fraud/AML triage; quicker, fairer lending and claims decisions; more precise wealth insights; and smoother payments, disputes, and collections—all delivered with real-time speed, higher accuracy, and lower cost.
When: 17 November (45 mins + 15 mins Q&A)
Where: Live online (link sent on registration)
What You'll Learn
- Faster experiences: how to get responses in under a second (~180ms) for chats and calls.
- Fewer mistakes: practical ways to reach ~96% accuracy and cut wrong answers to ~1.2%.
- Lower costs: steps to reduce AI infrastructure spend by 80–90%.
- Built for compliance: teach policies to the model up front and keep sensitive data out of external systems.
- Where to start: a short roadmap—begin with customer support and document/KYC, then expand to fraud/AML, lending/claims, wealth, and payments.
Save your seat - see you there!
