What it is
Quantum Summary turns complex claim data into a one-page, plain-English redress figure. It sets out the method, inputs, and assumptions so reviewers can see what’s owed and why at a glance. Designed for speed and consistency across large portfolios, and aligned to common UK/FOS practice.
How it works
With customer consent, we bring together verified financial data (e.g., account history and key claim facts), then apply a transparent calculation framework to quantify loss. The output includes components (principal, fees, interest), notes on assumptions, and any risk flags—ready to drop into case files or submissions.
{
"claim_id": "ABC123",
"redress_amount": 2450.00,
"components": {
"principal_refund": 1900.00,
"fees_reversal": 0.00,
"interest": 550.00
},
"methodology": "FOS-aligned calculation",
"assumptions": ["affordability_issue_confirmed", "simple_interest_basis"],
"risk_flags": ["repeat_borrowing", "arrears_history"],
"timestamp": "2025-08-29T12:52:00Z"
Why it matters
Defensible outcomes – Clear method and audit trail reduce disputes and rework.
Operational speed – One-page summaries accelerate triage and case closure.
Consistency at scale – Standardised approach across teams and suppliers.
Reviewer-friendly – Plain-English rationale with the numbers to back it up.
What’s included
Redress figure with component breakdown (principal, fees, interest).
Method statement, assumptions, and data sources.
Risk and quality flags to guide escalation.
Export-ready PDF and JSON payloads for your platform.
Use cases
Legal and remediation teams quantifying consumer redress.
Ombudsman submissions needing a concise, transparent summary.
Vendor/partner networks standardising outcomes across high-volume claims.
Get started
Want clearer, faster redress decisions? Quantum Summary gives reviewers the information they need without slowing down your process. Compare packages or request a demo to see it in action.
What it is
Quantum Summary turns complex claim data into a one-page, plain-English redress figure. It sets out the method, inputs, and assumptions so reviewers can see what’s owed and why at a glance. Designed for speed and consistency across large portfolios, and aligned to common UK/FOS practice.
How it works
With customer consent, we bring together verified financial data (e.g., account history and key claim facts), then apply a transparent calculation framework to quantify loss. The output includes components (principal, fees, interest), notes on assumptions, and any risk flags—ready to drop into case files or submissions.
{
"claim_id": "ABC123",
"redress_amount": 2450.00,
"components": {
"principal_refund": 1900.00,
"fees_reversal": 0.00,
"interest": 550.00
},
"methodology": "FOS-aligned calculation",
"assumptions": ["affordability_issue_confirmed", "simple_interest_basis"],
"risk_flags": ["repeat_borrowing", "arrears_history"],
"timestamp": "2025-08-29T12:52:00Z"
Why it matters
Defensible outcomes – Clear method and audit trail reduce disputes and rework.
Operational speed – One-page summaries accelerate triage and case closure.
Consistency at scale – Standardised approach across teams and suppliers.
Reviewer-friendly – Plain-English rationale with the numbers to back it up.
What’s included
Redress figure with component breakdown (principal, fees, interest).
Method statement, assumptions, and data sources.
Risk and quality flags to guide escalation.
Export-ready PDF and JSON payloads for your platform.
Use cases
Legal and remediation teams quantifying consumer redress.
Ombudsman submissions needing a concise, transparent summary.
Vendor/partner networks standardising outcomes across high-volume claims.
Get started
Want clearer, faster redress decisions? Quantum Summary gives reviewers the information they need without slowing down your process. Compare packages or request a demo to see it in action.
