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Demo
  • AI agent

Toll claims, handled by an AI agent

LLM + RAG platform that reads every claim, extracts the facts, drafts a sourced reply and submits it for human validation. Vehicle class disputes are cross-checked with the classification engine in production.

  • ~1Mclaims handled per year
  • 8 days → mintarget response time
  • 100%human review at start
Litix claim validation inbox

What Litix does

  • Multi-channel intake

    Letter, email, web form: every claim is read and categorized.

  • Typed extraction

    Facts, amounts and transaction references extracted as structured data.

  • Drafted, sourced reply

    Every reply cites the documents and rules it is based on.

  • Validation inbox

    The operator approves, edits or rejects before anything is sent.

  • Vision cross-check

    Class disputes are verified against Tollsense in production.

  • Progressive automation

    Autonomy only increases based on measured accuracy, reversible at any time.

How it works

  1. The agent proposes

    Reading, extraction, drafted and sourced reply.

  2. A human validates

    100% review at start, in the validation inbox.

  3. Autonomy is measured

    Automation increases case type by case type, based on observed accuracy.

An agent under control

  • Sovereign

    Deployable on premises, in your infrastructure - your data stays with you.

  • Under control

    100% human review at start, built-in validation inbox.

  • Measured

    Automation only increases based on observed accuracy.

  • Reversible

    Can be rolled back at any time, by design.

Start a Litix pilot

A defined scope, written performance criteria, an exit clause with no residual cost. That is how we start every project.