// Financial

Affordability Insights

Claims Data speeds up screening, improves targeting, and helps you focus on the customers with real grounds for complaint.

// Financial

Affordability Insights

Claims Data speeds up screening, improves targeting, and helps you focus on the customers with real grounds for complaint.

Uncovering hidden claims

Claims Data helps legal and claims organisations identify potential redress opportunities by analysing consumer financial data in real time. It scans open banking records for signs of mis-sold products, unaffordable finance agreements, or harmful spending patterns—turning raw data into clear case potential.

Designed for high-volume teams, Claims Data speeds up screening, improves targeting, and helps you focus on the customers with real grounds for complaint. It’s a smarter way to surface claims that might otherwise be missed.

How it works

A customer connects their bank account through secure open banking. Once permission is granted, Claims Data analyses their transaction history across multiple years, flagging key patterns and financial markers related to claims activity.

The tool looks for signals linked to affordability breaches, excessive overdraft charges, packaged bank accounts, persistent debt, and other claimable behaviours. It uses a mix of rules-based logic and intelligent matching to assign a claim probability score.

Here’s an example output:


{
  "potential_claims": ["unaffordable_credit", "packaged_bank_account"],
  "claim_score": 87,
  "average_redress_estimate": 2420.00,
  "recommended_action": "prepare_letter_before_claim",
  "timestamp": "2025-04-14T12:22:00Z"


This gives your team a fast, structured summary showing where a claim is likely, what it may be worth, and what to do next.

Modern litigation workflows

Claims Data removes the manual overhead of combing through statements, checking eligibility criteria, and estimating value. It allows legal firms, CMCs, and partner networks to operate at scale with far more efficiency.

It also improves accuracy and targeting, helping you reduce wasted time and focus resources on cases with real potential. Whether you’re validating leads or triaging incoming clients, this tool ensures no opportunity is missed.

Claims intelligence matters

Most firms rely on self-reported financial issues or basic pre-qualification questions. But with access to real-time data, you can spot deeper patterns—like long-term overdraft dependence, repeat credit usage, or payment failures—that signal serious claim value.

Claims Data turns that data into usable legal insight. It helps your team treat clients fairly, build stronger cases, and deliver faster outcomes with clear audit trails and recommendations.

Get started

Want to unlock more claims with less work? Claims Data gives your team the insights they need to build stronger, faster, and more accurate redress cases. Compare packages or request a demo to see it in action.

Uncovering hidden claims

Claims Data helps legal and claims organisations identify potential redress opportunities by analysing consumer financial data in real time. It scans open banking records for signs of mis-sold products, unaffordable finance agreements, or harmful spending patterns—turning raw data into clear case potential.

Designed for high-volume teams, Claims Data speeds up screening, improves targeting, and helps you focus on the customers with real grounds for complaint. It’s a smarter way to surface claims that might otherwise be missed.

How it works

A customer connects their bank account through secure open banking. Once permission is granted, Claims Data analyses their transaction history across multiple years, flagging key patterns and financial markers related to claims activity.

The tool looks for signals linked to affordability breaches, excessive overdraft charges, packaged bank accounts, persistent debt, and other claimable behaviours. It uses a mix of rules-based logic and intelligent matching to assign a claim probability score.

Here’s an example output:


{
  "potential_claims": ["unaffordable_credit", "packaged_bank_account"],
  "claim_score": 87,
  "average_redress_estimate": 2420.00,
  "recommended_action": "prepare_letter_before_claim",
  "timestamp": "2025-04-14T12:22:00Z"


This gives your team a fast, structured summary showing where a claim is likely, what it may be worth, and what to do next.

Modern litigation workflows

Claims Data removes the manual overhead of combing through statements, checking eligibility criteria, and estimating value. It allows legal firms, CMCs, and partner networks to operate at scale with far more efficiency.

It also improves accuracy and targeting, helping you reduce wasted time and focus resources on cases with real potential. Whether you’re validating leads or triaging incoming clients, this tool ensures no opportunity is missed.

Claims intelligence matters

Most firms rely on self-reported financial issues or basic pre-qualification questions. But with access to real-time data, you can spot deeper patterns—like long-term overdraft dependence, repeat credit usage, or payment failures—that signal serious claim value.

Claims Data turns that data into usable legal insight. It helps your team treat clients fairly, build stronger cases, and deliver faster outcomes with clear audit trails and recommendations.

Get started

Want to unlock more claims with less work? Claims Data gives your team the insights they need to build stronger, faster, and more accurate redress cases. Compare packages or request a demo to see it in action.

Uncovering hidden claims

Claims Data helps legal and claims organisations identify potential redress opportunities by analysing consumer financial data in real time. It scans open banking records for signs of mis-sold products, unaffordable finance agreements, or harmful spending patterns—turning raw data into clear case potential.

Designed for high-volume teams, Claims Data speeds up screening, improves targeting, and helps you focus on the customers with real grounds for complaint. It’s a smarter way to surface claims that might otherwise be missed.

How it works

A customer connects their bank account through secure open banking. Once permission is granted, Claims Data analyses their transaction history across multiple years, flagging key patterns and financial markers related to claims activity.

The tool looks for signals linked to affordability breaches, excessive overdraft charges, packaged bank accounts, persistent debt, and other claimable behaviours. It uses a mix of rules-based logic and intelligent matching to assign a claim probability score.

Here’s an example output:


{
  "potential_claims": ["unaffordable_credit", "packaged_bank_account"],
  "claim_score": 87,
  "average_redress_estimate": 2420.00,
  "recommended_action": "prepare_letter_before_claim",
  "timestamp": "2025-04-14T12:22:00Z"


This gives your team a fast, structured summary showing where a claim is likely, what it may be worth, and what to do next.

Modern litigation workflows

Claims Data removes the manual overhead of combing through statements, checking eligibility criteria, and estimating value. It allows legal firms, CMCs, and partner networks to operate at scale with far more efficiency.

It also improves accuracy and targeting, helping you reduce wasted time and focus resources on cases with real potential. Whether you’re validating leads or triaging incoming clients, this tool ensures no opportunity is missed.

Claims intelligence matters

Most firms rely on self-reported financial issues or basic pre-qualification questions. But with access to real-time data, you can spot deeper patterns—like long-term overdraft dependence, repeat credit usage, or payment failures—that signal serious claim value.

Claims Data turns that data into usable legal insight. It helps your team treat clients fairly, build stronger cases, and deliver faster outcomes with clear audit trails and recommendations.

Get started

Want to unlock more claims with less work? Claims Data gives your team the insights they need to build stronger, faster, and more accurate redress cases. Compare packages or request a demo to see it in action.

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