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01 · Use cases— The evidence

Principal Financial Group

4 documented AI deployments at Principal Financial Group, across 1 industry. Each one links to the public source it was taken from.

Des Moines, United States · Founded 1879 · principal.com · WikipediaSource: Wikidata, 2026-11-01

4
deployments
on record
1
industry
Finance
0%
use AI agents
0 of these
27 May 2026
latest source date
1 report a measured outcome
§ 1

Public AI record

Principal Financial Group has 4 documented public AI cases on the hub, too few for a score. Document automation and risk assessment are common among peers but not yet documented at Principal Financial Group.

Low confidenceBased on 4 public cases · updated 10 Nov 2026

A record score appears once Principal Financial Group has 5 documented public cases. The peer comparison below already uses what is on record.

First documented case Nov 2023, latest May 2026. Cloud providers named: AWS.

§ 2

Compared with peers

Against 14 other finance companies on the hub.

What peers document

  1. Document automation6 of 14 peers
    43%
  2. Fraud detection4 of 14 peers · here too
    29%
  3. Risk assessment4 of 14 peers
    29%
  4. 21%
4 of 6 patterns

Gaps against the industry

Signature use cases

No peer on the hub documents customer experience analytics.

Stack and approach vs peers
  • Peer cases name Microsoft 37%, AWS 33%, GCP 29%.
  • AI agents: 0% of Principal Financial Group's cases vs 18% for peers.
  • Cases from the last 12 months: 25% vs 40% for peers.
§ 3

Deployments

4 deployments at Principal Financial Group, newest first.

  • 27 May 2026
    Finance

    Principal Financial Group uses Amazon Transcribe Call Analytics for post-call summarization and insights in contact center

    Principal Financial Group · Customer experience analytics · AWS

    Principal Financial Group, based in the United States, uses Amazon Transcribe Call Analytics with its Genesys contact center to perform large-scale post-call analytics on tens of thousands of daily calls. The company also plans to extend the solution with Amazon Bedrock for generative AI post-call summarization so business users and agents can spend less time on manual after-contact work and more time focusing on customers.

  • 15 Nov 2024
    Finance

    Principal Financial Group enhances workforce productivity with generative AI using QnABot and Amazon Q Business

    Principal Financial Group · Fraud detection · AWS

    Principal Financial Group, a global financial company serving about 64 million customers, faced challenges managing vast unstructured internal data for quick responses to inquiries. They needed a compliant, secure AI solution to improve internal information access and workforce productivity. Principal deployed an intelligent self-service role-based chatbot using QnABot on AWS integrated with Microsoft Azure Entra ID, leveraging Amazon Q Business and Amazon Bedrock foundation models for advanced generative AI capabilities including query processing and summarization. The solution provides secure, compliant AI-powered answers from indexed internal documents like SharePoint data. It achieved about a 50% reduction in time responding to client inquiries and RFPs, with over 95% of queries receiving accepted or improved answers, boosting productivity across work roles. The platform is scalable with real-time monitoring dashboards, user feedback loops, and safeguards for responsible AI deployment, maintaining high accuracy and relevancy. Future expansion includes adding many new use cases building on this successful generative AI assistant foundation.

    Production

    +>99%
    quantified impact
  • 11 Apr 2024
    Finance

    Generative AI Use Cases in Wealth and Asset Management with AWS Amazon Bedrock

    Principal Financial Group · AI platform · AWS

    Principal Financial Group and Athene, two financial services companies, pilot generative AI applications to accelerate decision-making and streamline operations in the wealth and asset management sector. Principal Financial uses Anthropic's Claude foundation model on Amazon Bedrock to power a generative AI call center post-call analytics system that generates summaries, insights, and sentiment analysis to help customer service agents improve performance. Athene piloted Amazon Bedrock Agents to automate mining and data mapping of legacy code documentation, reducing an 80-hour manual task to minutes, thus speeding understanding of data and logic. Both companies leverage AWS generative AI services including Amazon Bedrock, Amazon Bedrock Agents, Amazon CodeWhisperer, Amazon Q, and Amazon Transcribe to improve human decision-making, developer productivity, and customer service efficiency.

    Production

  • 15 Nov 2023
    Finance

    Principal Financial Group Enhances Customer Insights with AWS Post Call Analytics Solution and Amazon Bedrock

    Principal Financial Group · Customer experience analytics · AWS

    Principal Financial Group improved omnichannel customer experience by analyzing millions of contact center interactions across voice, email, and chat using AWS Contact Center Intelligence Post Call Analytics solution with Amazon Bedrock. They implemented an automated workflow with Amazon Transcribe Call Analytics, AWS Step Functions, Amazon S3, and Lambda to transcribe and analyze calls integrated with Genesys Cloud CX. Enhanced transcripts were enriched with contact trace record metadata, enabling advanced analytics and generative AI insights to improve call routing, upsell identification, and customer self-service improvements.

§ 4

What it builds

Customer experience analytics is the most common pattern in these deployments: 2.

§ 5

Cloud providers named

AWS is named in 4 of these deployments.

  1. AWS100% of these
    4
§ 6

Industries

All of these deployments are in Finance.

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