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by Saber
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The claims worth running, surfaced early.

Not every claim should proceed, and the ones that shouldn’t cost the most when they’re caught late. Claim Intelligence assesses eligibility and merit from Financial Ombudsman upheld outcomes and your own data, applies the rules consistently across the book, and flags the weak claims and missing evidence early, with a fee earner signing off every call.

What firms running Claim Inbox are seeing

Invalid claims caught early
Capacity from the same team
Fee-earner sign-off
An inbound claim in Claim Inbox with its eligibility assessmentA lender’s DSAR response open in Claim Inbox, with the claim’s agreement details alongside

Which claims should move, and which shouldn’t.

The judgement a fee‑earner makes on every file, applied consistently across the whole book, with the reasoning shown.

  • Assess eligibility

    The claim criteria applied the same way to every case, not case‑by‑case guesswork that drifts as the book grows.
  • Score the merit

    The strength of a claim weighed against comparable outcomes, so the borderline cases are visible rather than assumed.
  • Ground it in FOS outcomes

    Assessments anchored in Financial Ombudsman upheld decisions: a recommendation you can trace back to the reasoning.
  • Catch the weak claims early

    The cases that won’t stand flagged before they consume cost, funder time and a place in the tranche.
  • Surface what’s missing

    The evidence, signature or field a claim needs to progress, made visible while there is still time to get it.
  • Prioritise the book

    The strongest, most complete claims surfaced to move first: the queue ordered by what will actually land.

Gather, assess, flag;
then a person decides.

  1. Gather

    The file’s facts pulled together from the case system and the extracted documents, whatever the claim already holds.

  2. Assess

    Eligibility and merit weighed against the claim rules and Financial Ombudsman upheld outcomes.

  3. Flag

    The weak claims and the missing evidence surfaced early, each with the reason it was flagged.

  4. Sign off

    A fee earner reviews the recommendation and decides: the system assesses, a person makes the call.

A lender’s DSAR response being read page by pageThe fields a claim’s assessment relies on, each linked to its source page

One capability, every kind of claim.

  • DCA and redress rules applied to each agreement, grounded in Financial Ombudsman upheld outcomes: the eligible claims separated from the rest.

  • A hearing-loss record beside the profile of a claimant, for an industrial deafness claim

    Audiogram and record checks run against the criteria: invalid agreements caught before they reach the funder, not after.

  • A locked case file and a damaged home, for data breach and housing disrepair claims

    Class membership and eligibility criteria applied consistently across the cohort: who qualifies, and who doesn’t, made clear.

Automate your book
with Saber.

Send us one workflow you run today: a DSAR, a batch of lender mail, a round of client updates. By the end of the week we’ll show it read, actioned and ready for a paralegal to approve, on your data. No fee, no commitment.

Book a demo

Extraction you can defend

Every figure is anchored to its source page and a person approves it; nothing enters the case unchecked. Full audit trail, ISO 27001 and ISO 42001 certified, UK‑only data residency, never used to train our models.

UK Startup of the Year 2026