Generative AI has the potential to automate 60-70% of employees work activities.

Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across 63 use cases analysed.

Work automation could add 0.5-3.4% points annually to productivity growth.

In-house accelerators

Reduce our customers’ time to value and accelerated the path to success.

Secure & responsible AI

Committed to responsible AI ensuring fairness, transparency, and accountability.

Fast-tracking value. Responsibly.

We deliver value whilst maintaining a secure and responsible approach to our AI practice. We leverage our in-house accelerators to reduce our customers’ time to value and accelerate the path to success with Generative AI (Gen AI).

Generative AI use cases in insurance

Claims & Underwriting

Streamline claims processing

Streamline claims processing by ingesting various data types, identifying and automatically routing suspicious claims to fraud teams, enabling a focus on higher-value transactions and improving overall efficiency.


Regulatory compliance automation

Gather regulatory data, generating required documents, and completing regulatory classifications, enhancing compliance processes and ensuring adherence to regulations.


Document analysis & summarisation

Analyse large volumes of documents, extracting key information such as policy details and claims history to help streamline decision-making processes, improves risk assessment accuracy, and enhances compliance efforts.

Knowledge Base & Search

Internal knowledge base & search

Central hub enabling quick access to internal documents and policy details, informing decision-making, personalised customer interactions and streamlined processes to improve operational efficiency.

What is Generative AI?

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It is powered by large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs).

With Generative AI, you can reinvent your applications, create entirely new customer experiences, drive unprecedented levels of productivity, and transform your business.


Foundational Models (FM)

Like all AI, generative AI is powered by ML models, very large models that are pre-trained on vast amounts of data and commonly referred to as foundational models (FMs). Recent advancements in ML have led to the rise of models that contain billions of parameters or variables.

Large Language Model (LLM)

A large language model (LLM) is a type of foundational model that is designed to process and generate natural language text. It is trained on vast amounts of text data using Deep Learning techniques, to learn patterns and relationships in language and generate human-like responses to a wide variety of prompts.

Rapid 6-8 Week Generative AI

Week 1

Discovery & PoV roadmap

Identify relevant data sources and assess infrastructure requirements. Evaluate AI use cases based on business value, success criteria, and implementation complexity.Create plan for the deployment, including tasks, timelines, and milestones.

Week 2-6

Build & deploy

Deploy and configure the PoV in the customer’s AWS development environment. Complete architecture, documentation, & replication instructions.

Week 6-8

Demo & production roadmap

Full walkthrough of PoV. Plan to scale solution for production and refine TCO estimate. Evaluate success and provide recommendations based on solution results.

Generative AI journey

Accelerate your time to value with Generative AI today