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.
1 October 2026
Faced with increasingly demanding clients and an ever more complex regulatory environment, wealth management professionals are being forced to rethink how they operate. Since 2012, Wealth Dynamix has been digitising the client journey through its client lifecycle management platform, restoring the central role of advice.
5 min. read
29 July 2026
As AI reshapes compliance, perpetual KYC is transforming client lifecycle management. Robert Roome explores how continuous, AI-powered KYC can improve data quality, reduce manual effort, and help firms build a more proactive, auditable compliance framework.
5 min. read
19 June 2026
Discover how a holistic Client Lifecycle Management (CLM) approach transforms onboarding in wealth management—boosting efficiency, ensuring compliance, and elevating the client experience through integrated, digital-first solutions.
5 min. read
As Chief Technology Officer at Wealth Dynamix, Mark is responsible for the company’s technology strategy and the teams that deliver it, from architecture through to execution. With over 16 years’ experience in financial services technology, Mark has led complex transformation programmes across capital markets, with particular depth in cloud transformation, SaaS and trading and risk platforms.
Prior to joining Wealth Dynamix in 2026, Mark ran the financial services SaaS solutions business at DXC Technology, partnering with leading software providers across capital markets, fund administration and open banking to build and operate SaaS platforms. Earlier in his career, while living in Australia, he helped to significantly grow the technical consulting team at Luxoft, delivering numerous cloud and risk platform modernisation initiatives, before running market risk technology for ANZ Bank. Mark brings this breadth of platform and transformation experience to Wealth Dynamix’s technology strategy and clients.