Regulators, such as the Financial Conduct Authority, are now pushing large organisations to recognise the challenges vulnerable individuals have and to start becoming proactively protective of them. This is an area that has been largely ignored in digital channels, but now due to the COVID powered digitisation of many customer interactions, it is an issue that needs attention.
Additionally many organisations are now swamped by the free text feedback they collect from individuals about their experience, leaving this valuable data unprocessed. It is often a case of 'hearing but not listening', and it is the voices of the vulnerable that frequently get no attention due to this analysis failure.
Collect the right data from existing customer data sources in a secure and compliant manner
Used advanced AI text analytics to find vulnerability signals and determine sentiment
Investigate the results to determine where vulnerable customers are at risk of harm
Looking for signals in existing data
We find characteristics of vulnerable customers in all major customer systems and extract them using advanced text analytics and bespoke structured data ontologies
We create tools to help organisations listen out for the signals of vulnerability in a scalable and robust manner. Embedding listening into existing and new process will help ensure the vulnerable do not suffer detriment.
“Listening out for signals of vulnerability is the first step in preventing harm.”
Chief Data Officer
Vulnerability signals detected within any voice recordings or text source
Understand the sentiment of those people showing vulnerability signals
Explore the number and types of vulnerability being detected
Request a demo
If you would like to see a demonstration of our process mining tools or our vulnerable customer analysis and monitoring tools, please get in touch