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Sector briefing · Customer experience

Insurers rethink claims with straight-through processing

How automation is shortening claims cycles without raising leakage.

ConfX editorial28 August 20263 min readFinancial services
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Why it matters

Insurers are automating simple claims from first notice of loss to payment, while routing complex or suspicious cases to specialists. The aim is faster settlement for customers and more adjuster time for the claims that need judgement.

Straight-through processing changes the economics of claims handling when the data captured at first notice of loss is complete and reliable. Insurers that redesign the customer journey first tend to automate more than those that add automation to an existing process.

By the numbers

14%of insurers report AI agents at scale in service operations, against 9% across all industries 1
9%report agents at scale in software engineering, and the same share in marketing and sales 1
7%report agents at scale in IT, below the 12% average 1
AI agents at the scaling phase, by functionInsuranceAll industries
Service operations
14%
9%
Software engineering
9%
10%
Marketing and sales
9%
8%
Knowledge management
8%
11%
IT
7%
12%
Risk, legal and compliance
7%
5%
Source: McKinsey, The state of AI in 2026: On the road to ROI, 25 August 2026

What's changing

  • Digital first notice of loss, photo assessment and document extraction reduce manual data entry.
  • Fraud-detection models increasingly decide which claims can be paid automatically.
  • Regulators expect fair outcomes and clear explanations when automated decisions affect customers.

How leaders are responding

  • Starting with high-volume, lower-severity lines such as glass, travel and small property claims.
  • Setting clear thresholds for automatic payment and reviewing them as fraud patterns change.
  • Measuring customer effort and complaint rates alongside cycle time.

What good looks like

  • Straight-through processing for simple, low-value claims with clear thresholds
  • Fraud and quality checks that run on every automated decision
  • Customers told when automation decides and how to reach a person

What to watch

  • Use of generative AI to summarise claim files and correspondence.
  • Regulatory expectations on explaining automated outcomes.
  • Partnerships with repair networks and data providers that speed settlement.

Where to start

Measure where claims wait today and why. The longest queues are often the best candidates for automation.

Questions for your leadership team

  1. Which claim types could we settle automatically at acceptable risk?
  2. How do we explain an automated decision to a policyholder?
  3. How will the adjuster's role change as simple claims are automated?