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First commercial Decision Intelligence Pack

ClaimVeritas

Policy-Aware Claims Intelligence

Product-ready · Seeking pilot partners

AI-assisted claims analysis grounded in policy conditions, evidence and traceable reasoning.

Claims decisions require more than document search

A single claim can draw on a wide set of information, held in different formats and produced by different people at different times.

  • Policy documents
  • Claim forms
  • Supporting evidence
  • Coverage conditions
  • Exclusions
  • Dates
  • Customer information
  • Previous records
  • Internal claims procedures

The harder question is:

Does the available evidence support the claim under the applicable policy conditions?

Retrieving the documents is the straightforward part. Relating them to one another, under the conditions that actually apply, is the work.

Workflow

How a claim moves through ClaimVeritas

Each step narrows the question, and every step is recorded so the basis of the recommendation stays visible.

Claim workflow

08 stages

  1. Claim

  2. Relevant Policy

  3. Coverage & Conditions

  4. Supporting Evidence

  5. Rules & Constraints

  6. AI Reasoning

  7. Recommendation

  8. Human Review

Capabilities

What ClaimVeritas is designed to do

  • Policy Conditions

    Identify and interpret policy provisions relevant to the claim.

  • Claim Information

    Structure facts and circumstances associated with the claim.

  • Supporting Evidence

    Evaluate documents and information provided in support of the claim.

  • Conditions & Rules

    Check the claim against applicable conditions, exclusions and business rules.

  • Missing & Conflicting Information

    Identify information requiring clarification or additional evidence.

  • Recommendation

    Produce a structured recommendation with supporting evidence and relevant reasoning.

Traceability

Evidence-backed decisions

A recommendation is only useful to a claims team if the basis for it can be inspected. ClaimVeritas is designed so each of these questions has an answer on the record.

Decision trace

  1. Evidence

    What evidence was considered?

  2. Policy

    Which policy conditions apply?

  3. Reasoning

    What supports the recommendation?

  4. Gaps

    What information is missing or contradictory?

  5. Review

    Where does human review remain necessary?

Human control

Human review remains part of the workflow

AI assists with the analysis.

The organization retains decision authority.

Human review checkpoint

  1. AI Analysis

  2. Recommendation

  3. Human Review

  4. Approve / Change / Escalate

Platform connection

Built on the AI&S Global Platform

ClaimVeritas is the insurance configuration of the same reusable layers described on the platform page.

AI&S Global Platform

Knowledge, reasoning, agents, governance.

Insurance Domain Intelligence

How claims work in practice.

Policy Conditions

Coverage, conditions, exclusions.

Claims Evidence

What the claim is grounded in.

Decision Logic

How a recommendation is reached.

ClaimVeritas

AI&S Global Platform plus Insurance Domain Intelligence plus Policy Conditions plus Claims Evidence plus Decision Logic equals ClaimVeritas.

Pilot

Start with a focused pilot

We are currently looking for insurance organizations interested in validating ClaimVeritas through a focused pilot.

What a pilot covers

  • Defined claim type
  • Representative policy and claim data
  • Controlled evaluation environment
  • Human review workflow
  • Agreed success metrics