Proving the Paycheck: How AI Verifies Lost Income in Bodily Injury Claims

Lost earnings are one of the largest and most disputed items in a bodily injury claim, and one of the hardest to prove. A salaried employee has payslips. A self-employed contractor, a gig driver or a commission earner often does not. Traditional examining leans on whatever paperwork a claimant happens to submit, so well documented claims get paid in full and everyone else is short-changed or delayed.

AI examining changes the starting point. It reads every income document in the file, whether a payslip, a tax return, a bank statement, an employer letter or a platform earnings export, and reconstructs a pre-injury earning baseline from the evidence rather than from a single figure on a demand letter.

It then aligns that baseline with the medically certified period of disability, so the wage loss claimed matches the injury and the time actually taken off work. Overlaps, double counting and undocumented gaps are surfaced for the examiner to review, not silently accepted or rejected.

Who benefits:

• Claimants, especially the self-employed and gig workers, are paid on documented earnings instead of losing out for lacking a standard payslip.
• Unrepresented claimants recover what they are owed without needing a lawyer to structure the claim.
• Employers face less repeated paperwork and support a faster, cleaner return to work.
• Insurers reserve accurately, cut leakage from inflated or duplicated wage claims, and settle with fewer disputes.

The examiner still owns the decision. AI simply makes sure the number reflects what the injury actually cost the paycheck, for every claimant, not only the ones who arrive with a complete file.