The Financial Services compliance problem

The stakes for AI in Financial Services have fundamentally changed.

Under the FCA's Consumer Duty, good intentions are no longer enough. Every firm must now demonstrate with evidence that their customer service delivers good outcomes.

At the same time, the Digital Markets, Competition and Consumers Act 2024 has expanded the definition of vulnerable customers, widening the compliance net significantly.

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This is for you if:

 You are piloting AI but lack a clear governance framework to prove good customer outcomes 

 You are concerned about personal liability under the Senior Managers and Certification Regime (SM&CR) regarding AI failures 

 You are unsure whether a rule-based chatbot or an autonomous AI agent is the right fit for your regulatory risk profile 

 Your current automated systems struggle with vulnerable customer detection and escalation 

Our approach: remove friction and ensure compliance end-to-end (from first contact to resolution), consolidate where it makes sense, and make performance measurable. 

The Business Case for AI in Financial Services Contact Centres

The efficiency opportunity is substantial. Gartner projects that AI will reduce global contact centre labour costs by $80 billion by 2026. McKinsey research finds that banks using AI can expect net operational cost reductions of 15-20%, with agent productivity improving by up to 40% on high-volume query types.

Well-scoped AI deployments in financial services typically achieve deflection rates of 20-60%, depending on implementation quality and use case scope. The range matters: a poorly scoped chatbot deflects 20% of contacts and frustrates the rest. A well-scoped one resolves 50-60% end-to-end while routing complex cases to the right agent with full context.

The distinction that matters: deflection and resolution are not the same thing. Deflection reduces inbound volume. Resolution delivers the good outcomes Consumer Duty requires. We design for resolution.

75% of UK financial services firms have already adopted some form of AI in their contact centre operations. The competitive pressure to deploy is real. The regulatory pressure to deploy it correctly is greater.

it’s what we do best

Client reviews

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Driving provable outcomes for Financial Services

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Uncompromised vulnerable customer care

NICE research from 2025 estimates there are 35 million potentially vulnerable consumers in the UK, with 37% of them preferring AI-powered support when it is implemented sensitively.

Vulnerability detection is built directly into the AI layer, not added as an afterthought. Your systems will autonomously identify indicators such as distress, confusion, or financial difficulty through speech patterns, language cues, and emotional markers in real time.

Why AI outperforms manual detection here: as one industry expert noted, "AI offers consistency that manual detection cannot achieve, as it isn't distracted or influenced by emotional bias." Pre-defined, documented escalation protocols guarantee that vulnerable customers are seamlessly handed off to human agents when needed, with a full interaction record preserved.

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Protected Senior Managers
under SM&CR

The FCA's Chief Data, Information and Intelligence Officer, Jessica Rusu, has confirmed that accountability for AI outcomes integrates into current SM&CR structures without requiring a standalone AI Officer role. In practice, AI risk typically falls to the Chief Risk Officer (SMF4) or Chief Operations Officer (SMF24).

That means a named Senior Manager is already accountable for your AI systems, whether or not they know it yet.

We design governance frameworks first, ensuring that Senior Manager can confidently own the AI risk before the technology goes live. By eliminating black box systems, we guarantee compliance teams can fully reconstruct the decision logic behind any AI-generated response. Scheduled bias and accuracy audits are built into the operational rhythm to detect and correct model drift.

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Sustainable ROI through true resolution

Shift from deflecting routine queries to resolving end-to-end customer journeys autonomously.

Well-scoped chatbots can deflect 40-60% of routine inbound volume, driving a rapid reduction in cost-per-contact. By advancing to semi-autonomous AI agents for complex queries, you can simultaneously reduce average handling time and boost first-contact resolution rates.

The difference between a deflection-first and resolution-first deployment is significant: resolution-first AI costs similarly upfront but yields substantially higher ROI through total business impact, not just contact centre savings.

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Demonstrable Consumer Duty compliance

Every AI-led or AI-assisted interaction is designed to deliver and evidence good outcomes for your retail customers. Full interaction logging and audit trails ensure you have a retrievable evidence base ready for FCA scrutiny.

Go beyond basic handling times by tracking outcome-specific metrics: resolution quality rate, consumer understanding confirmation, and vulnerability escalation rate. These are the metrics the FCA expects to see, not just average handling time.

Use cases

CX and AI use cases for Financial Services

Client acquisition + qualification

Capture enquiries 24/7 while ensuring every interaction aligns with FCA Principle 7 (clear, fair, and not misleading). Gather the right details accurately, assess initial intent, and route customers directly to the appropriate specialist with clean, auditable handovers.

  • > AI triage and web chat with 24/7 coverage

  • > Consistent, documented capture of intent and urgency 

  • > Smarter routing to prevent customer friction

  • > Automated appointment booking with compliant confirmations 

  • > Clean, timestamped handover notes directly into your CRM 

Customer experience + service

Deliver the seamless support required by the Consumer Duty's consumer support outcome. Reduce missed contacts, proactively update customers on their cases, and maintain a single, retrievable timeline of every interaction to easily evidence good outcomes. 

  • > Faster first response to support customer goals 

  • > Proactive updates (status, next steps, required documents) 

  • > Real-time vulnerability detection and documented escalation 

  • > Automated post-call summaries for consistent record-keeping 

  • > A single, compliant conversation timeline per customer 

Operational efficiency

Free up your agents to focus on high-value, complex resolutions by automating routine tasks, call summaries, and follow-ups. Build compliance directly into your workflows with automated QA that tracks outcomes rather than just handling times. 

  • > Automated tasks and follow-ups from interactions 

  • > Consistent, automated QA and scheduled bias auditing

  • > Better reporting on resolution quality and vulnerability detection rates 

  • > Reduced admin burden for agents and team leads 

  • > Clear oversight data for your accountable SM&CR Senior Manager

Platform consolidation

Improve oversight and control by replacing fragmented point solutions with an integrated platform approach. Give your leadership real-time visibility into volume, responsiveness, and customer outcomes, eliminating "black box" systems that create regulatory liability. 

  • > Replace fragmented systems with an integrated, explainable platform 

  • > Centralise your Consumer Duty evidence and reporting data 

  • > Simplify vendor management and reduce compliance oversight risk 

  • > Eliminate feature duplication across vendors

  • > Reduce engineering and maintenance overhead 
Use case

Client acquisition + qualification

View use casearrow-image

Client acquisition + qualification

Capture enquiries 24/7 while ensuring every interaction aligns with FCA Principle 7 (clear, fair, and not misleading). Gather the right details accurately, assess initial intent, and route customers directly to the appropriate specialist with clean, auditable handovers.

  • > AI triage and web chat with 24/7 coverage

  • > Consistent, documented capture of intent and urgency 

  • > Smarter routing to prevent customer friction

  • > Automated appointment booking with compliant confirmations 

  • > Clean, timestamped handover notes directly into your CRM 

Use case

Customer experience + service

View use casearrow-image

Customer experience + service

Deliver the seamless support required by the Consumer Duty's consumer support outcome. Reduce missed contacts, proactively update customers on their cases, and maintain a single, retrievable timeline of every interaction to easily evidence good outcomes. 

  • > Faster first response to support customer goals 

  • > Proactive updates (status, next steps, required documents) 

  • > Real-time vulnerability detection and documented escalation 

  • > Automated post-call summaries for consistent record-keeping 

  • > A single, compliant conversation timeline per customer 

Use case

Operational efficiency

View use casearrow-image

Operational efficiency

Free up your agents to focus on high-value, complex resolutions by automating routine tasks, call summaries, and follow-ups. Build compliance directly into your workflows with automated QA that tracks outcomes rather than just handling times. 

  • > Automated tasks and follow-ups from interactions 

  • > Consistent, automated QA and scheduled bias auditing

  • > Better reporting on resolution quality and vulnerability detection rates 

  • > Reduced admin burden for agents and team leads 

  • > Clear oversight data for your accountable SM&CR Senior Manager
Use case

Platform consolidation

View use casearrow-image

Platform consolidation

Improve oversight and control by replacing fragmented point solutions with an integrated platform approach. Give your leadership real-time visibility into volume, responsiveness, and customer outcomes, eliminating "black box" systems that create regulatory liability. 

  • > Replace fragmented systems with an integrated, explainable platform 

  • > Centralise your Consumer Duty evidence and reporting data 

  • > Simplify vendor management and reduce compliance oversight risk 

  • > Eliminate feature duplication across vendors

  • > Reduce engineering and maintenance overhead 

Want to find the fastest ROI in your contact centre?

We’ll review your current journey and highlight practical opportunities across customer experience, AI and platform consolidation - connected to the systems you already run. 

AI Agents, built around Financial Services workflows

Helpful automation - with clear boundaries.

 We help you design AI agents that support specific processes without increasing risk. That means defined capabilities, safe escalation to humans, end-to-end compliance and thoughtful data handling for regulated environments. 

 

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Enquiry Agent

Captures the reason for contact, urgency and next steps, then routes correctly

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Application Support Agent

Answers common questions and guides customers through processes

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Service Agent

Handles routine requests and updates, then escalates excpetions

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Intelligence Agent

Tags themes, flags risks, and surfaces coaching opportunities

Always with clear guardrails: what the agent can do, what needs human review and how data is handled. 

 


PCI

PCI DSS compliance for contact centres

Secure card payments without disrupting the customer experience.

Every time a customer shares payment details, they’re placing trust in your business. PCI DSS exists to protect that data and while it isn’t a legal requirement, it’s the industry-standard framework organisations handling cardholder data are expected to meet to avoid penalties and maintain relationships with payment card brands.

Why this matters in contact centres:

Payments often happen across multiple channels - phone, IVR, chat and email - increasing the risk of compliance gaps, human error and legacy vulnerabilities. 

Common PCI DSS challenges (and how we address them)

Multi-channel complexity

Unify payment protection across voice and digital channels

Human error

Keep agent + customer connected while preventing exposure of sensitive data

Training and turnover

Make secure payments consistent and easier to adopt

Third-party risk

Introduce a compliance checklist and procurement controls

Legacy systems

Protect your channels without layering more vendors and processes

What 'good' looks like

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Faster response times across customer channels

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Less manual admin after calls and meetings

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Cleaner CRM data without constant policing

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Better visibility for leaders and team managers

A deployment approach that reduces risk

CX and AI Advisory

Before evaluating platforms, we help you appoint a named SM&CR Senior Manager accountable for AI risk, define your good outcome metrics, and map escalation triggers.

Find out more

Technology Selection

We help you select the right AI technology, whether that is a chatbot for high-volume, low-complexity queries, or an AI agent for complex, multi-turn customer journeys. 

Find out more

Phased Rollout

We deliver a staged rollout, starting with a controlled pilot on a single low-complexity use case to validate escalation triggers in live conditions.

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Ongoing Monitoring and Auditing

Because AI models drift, we help you establish a monitoring cadence, including scheduled bias and accuracy audits, ensuring outputs remain aligned with regulatory requirements. 

Find out more

Trusted by leading teams, delivered with leading platforms

Put the team behind 100+ communications
transformations to work for you

True specialists

We decode communication tech daily. While platforms push monthly AI releases, we're already stress-testing real-world outcomes to ensure you get 100% value from these capabilities.

Battle-tested experience

Elite technical credentials matter. But what sets us apart? We'll challenge assumptions and flag risks before they become problems. We map technology to business processes, helping you redesign workflows to take advantage of modern capabilities.

Long-view partnership

Our clients stay 6+ years because we evolve with their needs. No quick fixes – we're architects of lasting transformation.

Frequently asked questions

What is Consumer Duty and how does it affect AI in our contact centre?

Consumer Duty, introduced by the FCA, requires firms to demonstrate that their products and services deliver good outcomes for retail customers across four areas: products and value, price and value, consumer understanding, and consumer support.

For contact centres using AI, this means every automated interaction must be designed to produce a good outcome, and firms must hold evidence to prove it. AI deployments without audit trails, escalation protocols, and outcome tracking are directly exposed to Consumer Duty risk.

 

Who is accountable for AI failures under SM&CR?

Under the FCA's principles-based approach, there is no standalone AI Senior Manager Function. Accountability for AI outcomes sits within existing SM&CR structures, typically with the Chief Risk Officer (SMF4) or Chief Operations Officer (SMF24). This means a named Senior Manager is already personally liable for AI-related failures in your contact centre.

Our governance framework ensures that person has the visibility, documentation, and audit trail to demonstrate control.

 

How does AI handle vulnerable customers in a compliant way?

AI identifies vulnerability indicators in real time through speech patterns, language cues, and emotional markers, flagging distress, confusion, or signs of financial difficulty during live interactions. When indicators are detected, pre-defined escalation protocols route the customer to a trained human agent, with the full interaction context preserved.

Every escalation is logged and timestamped, creating an auditable record that directly supports your Consumer Duty consumer support outcome obligations.

 

What is the difference between a chatbot and an AI agent for financial services?

A chatbot handles defined, rule-based interactions: answering FAQs, capturing contact details, routing calls. It is best suited to high-volume, low-complexity queries where the outcome is predictable. An AI agent handles multi-turn, context-dependent conversations, can take actions within systems, and manages more complex customer journeys.

The right choice depends on your use case, your regulatory risk profile, and the complexity of the interactions involved. We help you make that decision before any technology is selected.

How do we evidence good outcomes for FCA purposes?

Good outcome evidencing requires three things: full interaction logging across all channels, outcome-specific metrics beyond handling time (such as resolution quality rate and consumer understanding confirmation), and a retrievable audit trail for every AI-assisted decision.

We design these capabilities into the platform from the start, so your compliance team has what it needs without retrofitting reporting onto a live system.

Does AI in a contact centre need to be PCI DSS compliant?

If your contact centre handles card payment data across any channel, phone, IVR, web chat, or email, PCI DSS compliance is the expected standard. Non-compliance carries substantial fines that can be imposed without court orders, as well as reputational risk and the potential loss of payment card brand relationships.

We assess your current payment data flows, identify gaps, and implement controls that protect cardholder data without disrupting the customer experience.

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