Customer vulnerability FAQs: core topics

Core customer vulnerability topics

Identifying and supporting vulnerable customers is one of the biggest challenges facing financial services firms. With the FCA saying that around half of UK adults are vulnerable at any one time, it’s hardly a niche issue. Good practice means picking up the signs early, adapting products and communications, training staff, sharing information securely, and holding senior leaders accountable. It also means putting technology to work – moving firms from reactive, ad-hoc responses to a proactive, consistent approach that stands up to Consumer Duty’s scrutiny.

What are the best practices for identifying and supporting vulnerable customers?

Looking after vulnerable customers isn’t a bolt-on. It needs to run through everything a firm does – governance, data systems, customer journeys, training and more. The regulator is pretty clear on what good looks like: spot the signs early, record what customers need, adapt products and communications, and keep a close eye on whether any of it is actually working.

Reactive practice means waiting for customers to get in touch, or relying on scheduled interactions. Spotting vulnerabilities in this way usually means pulling several signals together. Transaction and behavioural data (including patterns visible through open banking) can flag a sudden drop in income or missed payments. Contact-centre staff pick up cues in conversation. And of course customers may happen to tell you things directly. Automated alerts help, but they shouldn’t run on autopilot – a human needs to be in the loop to make sense of what the data is suggesting. Tread carefully if you’re inferring vulnerability from third-party data, as doing so can erode trust, and acting on it without verifying whether it is correct can land you with a privacy issue or an unsuitable outcome.

Firms that only work reactively can identify a fraction of their vulnerable customers, because plenty of customers won’t be in touch for long stretches – and some not at all. Being proactive – reaching out to find out about people’s circumstances – is far more effective. The FCA has been clear that firms need to move from being reactive to being proactive: anticipating and preventing harm, offering support up front, and monitoring both the current picture and the outcomes that follow. The regulator has also warned against leaving disclosure to customers, because that often misses the reality of their situation.

This is where technology more than earns its keep. Solutions like MARS (the MorganAsh Resilience System) assess people proactively, identify vulnerable customers at scale, classify them consistently and objectively, support them intelligently, and produce the reporting and management information to back it all up.

Once you know something about a customer’s circumstances, the aim is to capture it once and share it safely – so they’re not having to needlessly retell their story each and every time they get in touch. That means proper ‘explicit consent’ (or another lawful basis where appropriate), following data protection rules, and setting up clear protocols for sharing need-to-know information between teams and, where relevant, intermediaries. It also means having an objective, consistent way of categorising vulnerabilities – vital to ensure that subjective human judgements and inconsistent language don’t create ambiguity.

On products and communications, test your customer journeys with people who have lower financial literacy, language barriers, or sensory or cognitive impairments – rather than assuming that things will work for them. Alternative media formats like large print, audio or simplified language, plus flexible ways to get in touch, can make a real difference. Build accessibility in from the start; don’t bolt it on at the end.

Staff training matters too. Front-line teams need to feel confident recognising vulnerabilities and knowing what to do next, with a clear path to escalate complex cases to a specialist team or helpline. It’s also worth taking a hard look at performance targets. If someone’s measured on call handling time, they’ll feel pressure to wrap things up quickly – the wrong motivation when a customer needs extra care. Adapting or suspending those targets in defined circumstances removes this conflict. Those firms which have treated training as a silver bullet have quickly found its limits: no firm can train every member of staff to recognise every vulnerability. Also, team members come and go, making training a relentless treadmill. Far better to let technology handle identification and let front-line staff do what humans do best: providing empathy and adapting to individual needs.

None of this sticks without proper governance. Someone senior needs to own it, customer vulnerability metrics need to sit inside your usual risk and compliance monitoring, and outcomes should be tested regularly. Are vulnerable customers getting results as good as everyone else? If not, that’s something to fix – and the cycle of remediation and improvement starts from there.

How can technology assist in managing customer vulnerability in financial services?

Financial services firms are under steady pressure to identify and support people in vulnerable circumstances consistently and at scale. Vulnerability is dynamic, it’s usually missing from standard customer data, and the FCA reckons it touches around half of UK adults. Technology has moved from nice-to-have to a core operational requirement, and systems like MARS (the MorganAsh Resilience System) have emerged specifically to turn vulnerable customer policy into repeatable, evidenced practice.

Assess

Technology’s first job is to deliver a structured, objective assessment of each customer’s circumstances – instead of leaving identification to whichever member of staff happens to notice. Traditional approaches have leaned on front-line teams spotting cues in conversation: inconsistent, hard to audit, and largely absent from digital-only journeys.

Assessment platforms use structured questionnaires built around the FCA’s four drivers of vulnerability – health, life events, resilience and capability – and produce a consistent, easily communicable output. MARS, for example, generates an objective resilience rating that works rather like a credit score, giving firms a single measure they can compare across a customer book and track over time. Without a common metric such as this, firms can’t evidence consistent treatment of similar customers (or cohorts of customers), and they can’t benchmark whether interventions are working. A structured assessment also takes the bias, variability and data-inaccessibility out of free-text notes and creates the audit trail regulators expect when reviewing Consumer Duty outcomes.

Identify

Some technology can surface vulnerability signals customers haven’t explicitly disclosed. Machine learning on transaction data can flag patterns linked to payment distress, gambling harm or fading financial resilience. Voice and interaction analytics – speech-to-text combined with sentiment, pause detection and channel-switching patterns – can pick out conversations where a customer might need extra support, without anyone having to sample calls manually.

Detection tools work best paired with assessment, not on their own. A transaction anomaly might mean someone is in critical distress, or it might just mean they are panicking before a holiday. A follow-up structured assessment clears up any ambiguity and stops false positives from driving the wrong interventions. Voice and interaction analytics also only work when a customer is actually in touch – that’s reactive and, since many people don’t regularly get in touch, it leaves big gaps in the data. Tools like MARS often sit alongside detection technologies: the analytical flag prompts a structured assessment, and the assessment determines what happens next. MARS also assesses people proactively and regularly – so the majority of customers’ vulnerabilities get tracked over time, just as a matter of course.

Monitor

Vulnerability isn’t static. A bereavement, a cancer diagnosis, redundancy, or recovery from any of those can shift a customer’s circumstances within weeks. Technology lets firms reassess at meaningful intervals, rather than treat vulnerability as a one-off data point captured at onboarding.

Monitoring features in platforms like MARS include scheduled reviews, triggered reassessments when transaction or interaction signals change, and tracking of resilience scores over time. This temporal view matters for two reasons. First, it lets firms step enhanced support down when a customer has recovered. Second, it generates the data needed to show whether interventions actually improve outcomes – without which firms can’t genuinely evidence good outcomes under Consumer Duty. Interaction analytics add another layer, by continuously scanning routine contacts for change, instead of waiting for a scheduled review to catch a deterioration.

Support

Identification means nothing if it doesn’t change what happens to the customer. Technology connects signals to action through case-management workflows that route flagged customers to the right support – longer callback slots, accessible formats, specialist vulnerability teams, payment deferrals, or referrals out to debt advice, carer support or bereavement services.

Systems like MARS log which interventions are offered, accepted and completed, and that produces two practical benefits. Front-line staff get a shared record of what’s been tried, so customers aren’t forced to re-explain sensitive circumstances every time they get in touch. And, at the firm level, outcomes data builds up against specific interventions – so firms can see which ones actually move the needle on customer outcomes, rather than assuming they do. Accessibility is a technology issue in its own right: adaptive authentication, alternative channels and well-designed digital journeys decide whether flagged customers get the help on offer or end up routed into processes they can’t navigate. Data security and privacy matter here too. Customers disclose sensitive circumstances only when they trust a firm to handle the information properly.

Report

Technology can assist greatly with governance, easily turning individual cases into aggregate management information. Boards, compliance functions and regulators all need evidence that vulnerability policies are working across the full customer book, not just in standout cases.

Reporting dashboards – a core part of MARS and comparable systems – pull together resilience ratings, intervention outcomes and cohort comparisons. Firms can see whether outcomes for vulnerable customers diverge from those for everyone else (a central Consumer Duty test), whether particular products or channels throw up disproportionate vulnerability indicators, and whether training or process changes actually produce improvement. The reporting layer is also where firms tackle the risks of using AI and machine learning in this space, including audit trails, explainability of automated flags, human review of escalations, and monitoring for bias across protected characteristics. Regulators increasingly expect these controls. Without them, an analytics capability can become a liability rather than an asset.

MARS is one of several platforms bringing all five capabilities together in a single workflow. Its architecture – objective resilience scoring, structured assessment, continuous monitoring, connected support workflows, and regulator-facing reporting – broadly reflects where the industry has landed on what good vulnerability management technology looks like. The specific choice of platform matters less than making sure all five capabilities are in place, integrated, and producing the evidence that both customers and regulators are entitled to expect.

For firms wishing to work within their own familiar software, tools such as MARS have APIs, enabling specialist functionality to be embedded within existing systems.