Our Capabilities
Develop a deeper understanding of your customer and enable a more proactive, better personalised, intelligence-driven service.
Leverage AI and ML technologies operating on a optimised data foundation to support industry-sensitive use cases that deliver a meaningful competitive advantage.
Artificial technologies can unlock a deeper understanding of your customer and insights that may otherwise remain hidden, from sentiment to preferred interaction channels, nervousness or confidence around the markets and more.
Our solutions help you to make better decisions about how to allocate your time and resources. Focus on the business opportunities with the highest likelihood of conversion, engage customers at risk, and better match product and service suggestions to the needs of your customers.
Applying artificial technologies to your business can unlock additional efficiencies. Save time through the automatic identification of the next best actions, through the automated intelligent assessment of KYC risk, the commercial viability of a prospect, or the automated scoring of the consistency and coherency of customer questionnaire responses.
The application of artificial intelligence is able to drive significant improvements to both customer and user satisfaction. Customers receive a more proactive, more personalised and more sensitive service, whilst users are equipped with the insights and time to allow them to do their job more effectively.Â
The careful application of artificial intelligence into the client lifecycle can help a firm to maximise profitability. Increased customer satisfaction supports revenue maximisation through maximising new business wins and wallet share, whilst a more proactive, intelligence-driven approach to the management of customer relationships and the execution of processes both support significant cost reductions. Â
The use of machine learning further supports the wider philosophy of continual improvement that is fundamental to the design of our CLM solutions. Understand whether actions taken in response to generated insights and suggested actions have their intended or expected result. Use this feedback loop to continually improve the quality and accuracy of future insights and calls to action.
Customisable models to generate personalised product and service recommendations, considering the goals, needs and wider situation of the customer, whilst fully respecting compliance considerations such as suitability and cross-border.
Automatic identification of next best actions delivered directly to users via their home dashboards, where actions are neatly auto-categorised and prioritised for the user, considering their role, responsibilities and targets.Â
Leverage speech-to-text technologies to automatically transcribe phone calls, and meetings and to identify key themes from the conversation.Â
Integrate this capability with wider capabilities to alert to potential compliance concerns, to flag potential new business opportunities, or to pre-fill elements of KYC form ready for human review.
Use optical character recognition (OCR) and wider computer vision technologies to automatically populate digital forms from photos of real forms, to validate the authenticity of documents such as passports or driving licenses, or to match a ‘selfie’ photo to the image in a provided identity document.
Automatically qualify potential customers, considering business risk, commercial viability and buying propensity, allowing you to invest your valuable time and resources where you are likely to see the greatest return.
Identify the changing sentiment of a customer across the course of a conversation or combine recent interactions to understand the overall sentiment of a customer or to monitor sentiment trends over the course of a relationship.
Use AI-powered chatbots and assistants to extend servicing beyond normal business hours, to help unlock commercial viability within new customer segments, or to quickly gather information that allows a customer to be routed to the team member who is best equipped to assist them.
Configurable dynamic segmentation logics, that continually segment customers considering inputs such as financial situation, preferences, attitudes, demographics and much more. Use these segments in a variety of ways – to deliver more relevant communications, to drive insights and analytics or to assist in defining the ownership of relationships.
The richness and accuracy of data enabled by our CLM solutions can be combined with intelligent insights and analytics solutions to automatically identify meaningful trends and insights across your data and to visualise these trends to the user. Additionally, natural language querying can be used to interrogate the data with responses rendered using the most appropriate visualisations, whether a table, a bar chart, a line chart or something else.
Seamlessly integrate AI technologies into the wider workflows orchestrated by our solution, whether that’s automatically verifying the identity of a customer during onboarding, reassessing the anti-money laundering risk posed as part of KYC review, or reassessing the suitability of the product and service offerings in response to review triggered by a change in circumstances communicated to a chatbot.
27 January 2026
Wealth Dynamix welcomes Fiske plc as the latest client to go live on its CLMi SaaS platform. Delivered through our strategic integration with Third Financial, the deployment enables Fiske to further enhance its highly personalised client service while leveraging a fully connected, rapid-to-deploy Client Lifecycle Management solution.
3 min. read
26 November 2025
Discover why first impressions matter in wealth management onboarding. Learn how seamless, tech-savvy onboarding can elevate client experiences and build lasting loyalty.
3 min. read
25 November 2025
Artificial intelligence is reshaping wealth management, but trust remains firmly rooted in human relationships. As clients adopt AI tools at pace, private banks and wealth managers must strike the right balance between automation, personalisation and transparency. This article explores how AI can strengthen, rather than replace, the advisor–client relationship, the foundations required for safe and effective deployment, and the steps firms must take to scale personalised engagement responsibly.
5 min. read