The United Kingdom’s Consumer Duty regime is no longer a box-ticking exercise. With the Duty now well past its initial implementation deadline, UK regulator the Financial Conduct Authority (FCA) is explicitly focusing on whether firms can truly evidence, monitor, and explain outcomes for customers.
For mid-sized wealth and retirement firms, this shift presents a structural challenge that goes far beyond static compliance checklists and PDF reports. Efficiently embedding outcome evidence into everyday decision-making capabilities is quickly becoming a competitive advantage.
In its September update, the FCA has signalled its priorities for 2026: moving beyond implementation to embedding the Duty across sectors and improving outcomes for consumers. Its most recent focus areas emphasise the importance of collecting data that helps firms understand whether they are delivering good outcomes.
For example, in a dedicated review of insurance firms’ approaches, the FCA made clear that firms must “regularly assess, test, understand and evidence the outcomes their customers are receiving under the Consumer Duty”.
This signals a fundamental change: supervisory attention is now on evidence and insight, not just documentation of compliance activity. Consistent with this, the FCA’s non-Handbook guidance outlines expectations that firms incorporate their monitoring of consumer outcomes into risk management, governance, and product oversight frameworks.
Mid-sized wealth and retirement firms are now caught between regulatory expectations for comprehensive, repeatable evidence of outcomes and the technical limitations of legacy modelling tools, manual data management processes, and platform constraints. The FCA’s monitoring requirements imply a broader set of analytical capabilities than many mid-market firms currently possess.
The regulator’s recent multi-firm review suggests that firms’ current monitoring frameworks, even within larger players, do not yet meet these expectations. It points to insufficient outcome-focused metrics and over-reliance on process completion counts rather than interpretable data.
Meanwhile, commercial realities often rule out large-scale platform replacements. Firms that rely on static projection spreadsheets or siloed actuarial tools simply lack the flexibility they need to demonstrate defensible outcomes to boards or supervisors.
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A new approach
To meet these expectations, leading firms are rethinking Consumer Duty as a repeatable, data-driven operational capability, rather than a regulatory project with a fixed end-date. Firms should upgrade their assumptions governance and apply consistent decision-making logic across channels to explain outcomes in ways that are robust, traceable, and explainable to both boards and regulators.
This approach aligns with industry commentary by Deloitte, which notes that successful embedding will depend on firms’ ability to efficiently manage and use data and analytics rather than relying on manual management information (MI) pull-throughs.
Most firms cannot and should not attempt multi-year platform replacements to meet Consumer Duty expectations. Instead, firms should consider taking a more targeted approach: rather than embedding calculations and assumptions inside individual tools or journeys, they should centralise outcome modelling in a single, governed analytical fabric that feeds multiple channels.
Here, an analytics fabric does not refer to a single tool or reporting layer, but to a shared analytical foundation that manages how assumptions, scenarios, and outcome logic are defined, reused, and evolved. Its role is to ensure that every channel – whether adviser-led, digital or operational – draws on the same decision-making logic, rather than recreating it in isolation.
By establishing reusable analytical and modelling capabilities above core platforms, firms can apply consistent assumptions, scenario logic, and decision rules across products, journeys, and advice channels.
This matters because the Consumer Duty does not assess outcomes in isolation. Boards and supervisors increasingly expect firms to demonstrate that outcomes are consistent, explainable, and repeatable, regardless of whether a customer interacts through an adviser, a digital journey, or a service channel.
Fragmented tools, manual evaluations, and duplicated logic make this almost impossible to evidence. Orphaned client cases illustrate this challenge clearly. When an adviser relationship ends due to retirement, consolidation, or business change, firms remain responsible for ensuring that customers continue to receive good outcomes.
In these cases, outcome evidence can no longer rely on adviser judgement or bespoke tooling. Firms must be able to demonstrate, using consistent modelling and monitoring logic, that products remain suitable, value remains fair, and customers are appropriately supported, regardless of channel.
Where outcome logic is embedded in individual tools or adviser workflows, this becomes difficult to evidence at scale. A modular analytics fabric allows firms to test customer outcomes across cohorts, rerun scenarios as assumptions change, and trace how decisions were formed without fully rebuilding underlying infrastructure.
In practice, this means shifting key Consumer Duty activities, such as outcome testing, value assessment, scenario analysis, and cohort monitoring, out of ad-hoc reporting processes and into a shared analytical capability.
Rather than recreating assumptions and calculations separately for adviser tools, digital journeys and board MI, firms can define them once and reuse them consistently. Changes to assumptions or regulatory interpretation are applied centrally and reflected across customer-facing tools and internal reporting at the same time.
Crucially, this also shortens the time between regulatory insight and operational change, enabling firms to adapt outcome logic in weeks rather than years.
In this model, scale comes not from expanding teams or recalibrating platforms, but from reusing unified decision-making logic. This is a sustainable approach to how wealth and retirement firms should be reconciling the Consumer Duty’s evidence expectations with commercial reality.
Conclusion
The Consumer Duty has entered a new era: one in which the quality of evidence and the consistency of insights matter more than checklists, tick boxes, and policy statements.
Firms that build capabilities to measure, test, and explain outcomes will be in a far stronger position for regulatory engagement, board oversight, customer trust, and long-term competitive differentiation.
Mid-sized wealth and retirement firms do not need to replace large platforms to succeed. But they do need defensible outcome infrastructure, represented by analytics fabric, data governance, and clever automation, that can demonstrate good outcomes across products and distributions.
For firms that get this right, Consumer Duty becomes less a compliance hurdle and more a catalyst for smarter decision-making and better consumer outcomes.
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