HOW DOES IT WORK

Incorporate conversational assistants for providing comprehensive advice on various aspects of banking and insurance, with personalised recommendations to support advanced financial planning and complex insurance policies.

Enable the creation of hybrid digital channels for self-service and advisor-supported interactions.

Fully customisable avatar to suit a wide range of cultures and demographics — change appearance, animation, language, and voice.

HOW TO GET STARTED

RAPID ASSESSMENT

• Identify and prioritise business use cases that can be addressed with Generative AI and large language models (LLMs)
• Determine the target audience and end users who will benefit from the solution
• Feasibility assessments to determine data availability, quality, technology readiness, and potential ROI
• Define success metrics and KPIs
• Scope out a PoC aligned with the business case and value proposition

PROOF OF CONCEPT

• Set up PoC infrastructure and environment
• Define data requirements and sources, identifying gaps and biases
• Build data collection, cleaning, processing, augmentation pipelines
• Set up data annotation and curation infrastructure
• Identify and evaluate relevant foundation models based on the business use cases and data availability

MVP

• Evaluate and select appropriate tools, services, and technologies
• Fine-tune models and optimise prompts for the specific use case
• Conduct model selection and validation, balancing accuracy, interpretability, and performance
• Deploy the model in batch or real-time mode, optimising for latency and cost