By: Francisco Martins, Solutions Architect – AWS By: Chris Owen, Chief Architect – MONY Group By: Anna-Riitta Vuorenmaa, Chief Marketing Officer – Firemind
MoneySuperMarket, AWS, and AWS Partner Firemind deployed an AI-powered assistant using Amazon Bedrock, moving from proof-of-concept (PoC) to production in just 6 months. While many organizations stall at the PoC stage when exploring generative AI, MONY Group plc (FTSE:MONY) and their brand MoneySuperMarket (MSM) took a different path, helping thousands of customers make smarter financial decisions faster with AWS.
MSM helps customers and households save money by simplifying search and comparison of deals across products such as home insurance, car insurance, travel insurance, credit cards, energy, and broadband.
They found that searching for the right credit card is often overwhelming, with customers having to evaluate introductory offers, understand if there’s an interest-free period, see if they meet the different eligibility criteria, and compare the product fees across different cards and providers. MSM decided to use AI to simplify this customer journey through the introduction of Money Concierge, an AI-powered assistant built on AWS.
To accelerate the path to production, MSM created a new team responsible for researching and testing AI technologies for their use cases, starting with a few members and recently expanding in size. The team was designed with the flexibility for experimentation, a strong sense of urgency, and with the autonomy to quickly identify and iterate on the PoCs. To accelerate the path to production, they chose Firemind as their AWS Partner, moving the Money Concierge solution from PoC to production within 6 months.
MSM integrated Money Concierge into their credit card channel. When customers are evaluating different credit card offerings, they can select a widget that starts the Money Concierge experience. This assistant:
Figure 1: Money Concierge Experience and sample repayment plan
When MSM and Firemind decided to build Money Concierge with AWS services, they had a strong preference for fully managed or serverless services. This was to remove the administrative burden of managing servers, allowing product teams to focus on building features that sustain a strong customer experience.
Figure 2: AWS Architecture supporting Money Concierge
This solution uses a highly available and scalable modular architecture. Figure 2 illustrates the AWS Architecture and services supporting the Money Concierge solution. MSM deployed the workload across different Availability Zones within the selected AWS Region, and the underlying services automatically adjust capacity based on the actual workload demand. By designing for modularity, MSM can also extend the solution to additional financial products in the future.
MSM’s Money Concierge has helped over 55,000 customers in their credit card journey. MSM’s customers receive:
Money Concierge provides improved customer engagement and conversion and received 93% positive feedback.
This post illustrates how AWS and partners like Firemind can help organizations accelerate their ambitions to deliver customer-facing AI solutions into production. The key items to drive value are:
If your organization is yet to drive value from AI, consider these next steps:
Firemind is an AWS Premier Tier Consulting Partner that provides end-to-end solutions that help businesses harness data, enhance decision-making, and drive measurable outcomes. With deep expertise in Machine Learning, AI, and AWS Cloud Engineering, they accelerate AI adoption through solutions like Pulse – generative AI accelerator – and Managed AI – AI workload management tool.
Contact Firemind | Partner Overview | AWS Marketplace
