AI case study

WTWCase exception handling

Exception cases pulled analysts offline across 2.2M cases a year. Now agents investigate and recommend; humans decide.

Published

Key results

Projected Hours Saved
10,000s

Result highlights

Unlock 1 result highlight

Where AI sits in the process

Where AI sits in this process. Unlock to see each step. AI PEOPLE Enarotis Enarotiscl Enarotis/clumd Enaroti
Unlock the 3 steps

The story

Context

A benefits administration provider serving about 12 million employees, dependents, and retirees for large U.S. employers, completing roughly 1 million procedures and 2.2 million cases each year across more than 2,000 vendors.

Challenge

Most cases followed an automated happy path, but exceptions required an experienced analyst to research the issue, decide on action, execute it...

Solution
Unlock full story

Scope & timeline

  • Platform live within 5 months
  • Onboarding time cut from months to weeks

Quotes

Unlock 9 more quotes

The company

Global advisory, insurance brokerage, and risk management solutions firm.

IndustryInsurance
LocationLondon, United Kingdom
Employees10K-50K
Founded2016

The implementation partner

Applied Information Sciences logo

Applied Information Sciences

ais.com
Role in this case study

Collaborated with WTW to build its AI agent platform on Microsoft Foundry

IndustryTechnology
LocationReston, VA, USA
Employees251-1K
Founded1982

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

WTW's Case exception handling is part of this use case:

Workplace AI
283 case studies(+213% YoY)
Proven impact?
Average
3.3Typical
3.3Typicalwithin Insurance
3.3Typicalwithin Operations

Similar Case Studies

Related implementations across industries and use cases

283 AI case studies in Workplace AI

89 AI case studies in Insurance

336 AI case studies in Operations