Why ‘simple’ redress schemes require strategic planning

TCC Group’s webinar with Momenta and Recordsure explains why the proposed motor finance redress scheme is more complex than it first appears, and how firms can combine technology, governance and human judgement to execute it at scale.

What happened?

In a recent webinar, TCC Group’s Garry Evans and Mike Morris examined the FCA’s proposed motor finance redress scheme, exploring why early preparation is critical and how firms can approach remediation strategically across operational design, portfolio assessment, governance and internal capability.

Redress schemes can look straightforward on paper: identify affected customers, calculate compensation and make payments. In practice, delivering fair and consistent outcomes for a scheme covering millions of customers and potentially millions in compensation requires significant operational, technological and human expertise.

Why does it matter?

Customer records can be inconsistent or incomplete, agreements span multiple product types and exceptions cannot be avoided. Without careful planning, these challenges translate into delays, costly errors and reputational risk.

Automation can handle repetitive tasks such as calculations and customer communications, but it cannot replace human oversight for complex or disputed cases. Firms that combine technology with human expertise are better placed to manage scale, maintain accuracy and deliver consistent outcomes.

Who is affected?

The webinar is aimed at firms across wealth management, pensions, payments, banking, lending, insurance and motor finance that may be affected by the FCA’s proposed motor finance redress scheme or comparable large-scale remediation exercises.

Key risks

  • Inconsistent or incomplete customer records across agreements and product types.
  • Operational delays, costly errors and reputational damage from unplanned execution.
  • Over-reliance on automation for complex or disputed cases that need human judgement.
  • Weak capacity planning and reporting frameworks that cannot cope with high volumes.

Actions to take

  1. Validate the firm’s proposed regulatory approach before the FCA finalises its scheme.
  2. Review sales documentation and test redress calculations ahead of time.
  3. Define scope determination, tracing and customer contact strategies in advance.
  4. Model cost-effective resourcing scenarios and confirm capacity for peak volumes.

Wider implications

Firms that recognise the complexity of redress schemes and prepare accordingly are better placed to demonstrate operational maturity, customer focus and long-term resilience, turning a high-stakes regulatory challenge into a controlled, manageable process.

Recommendations

TCC Group’s redress technology workflow, powered by iQcodex, has already processed over one million cases, helping firms analyse datasets, prepare documentation and position themselves to implement calculations and payments as soon as the FCA finalises its plans. A half-day redress strategy workshop is also available to pressure-test scope, sales documentation and resourcing before a scheme goes live.

Supporting sources

  1. Why ‘simple’ redress schemes require strategic planning

Frequently asked questions

Why isn't the motor finance redress scheme as simple as it looks?

Because customer records, product variations and exceptions make calculation and payment far more complex to execute consistently at scale than a simple compensation exercise suggests.

Can automation handle motor finance redress on its own?

No; automation supports repetitive tasks such as calculations and communications, but complex or disputed cases still need human oversight.

What is TCC's redress technology workflow?

It is a purpose-built workflow powered by iQcodex that has already processed over one million redress cases for firms preparing for the FCA’s scheme.

What does the half-day redress strategy workshop cover?

It covers validating the firm’s regulatory approach, reviewing sales documentation, testing calculations, resourcing options and scenario modelling.

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