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Published 29 Apr 2026· via AWS Customer Case Studies· Customer story

Sun Life uses Amazon Bedrock to build a secure generative AI chatbot for internal queries

Sun Life · Finance · Canada

Headline result

The source does not publish a single comparable figure. Reported results are listed below.

Summary

Sun Life, a global financial services company headquartered in Canada, created a secure AI chatbot named 'Sun Life Asks' to efficiently answer internal employee queries using generative AI.

The chatbot uses Amazon Bedrock for access to foundation models, including Anthropic's Claude, operating securely within Sun Life's internal systems.

It handles over 10,000 queries weekly, saving employees significant time on manual tasks like market research and sentiment analysis.

The chatbot has resolved over 600,000 internal queries in 11 months, enhancing employee productivity and operational efficiency worldwide.

The problem

  1. 01Sun Life aimed to move from generative AI experimentation to delivering tangible value for internal stakeholders.
  2. 02The company needed a secure, reliable solution capable of handling a large volume of internal queries while protecting sensitive information.

What they built

  1. 01Developed 'Sun Life Asks,' a generative AI chatbot using Amazon Bedrock foundation models, including Anthropic's Claude, within a secure environment.
  2. 02Integrated the chatbot with internal information sources to provide accurate and context-aware responses.
  3. 03Enabled widespread adoption by making the chatbot simple for employees to use.

Reported results

  1. 01Employees save hours of manual work per query, such as market research and sentiment analysis.
  2. 02Over 600,000 internal queries resolved within 11 months.
  3. 03Improved operational efficiency and knowledge access throughout Sun Life's global operations.
  • Built secure internal AI chatbot
  • Improved employee knowledge access
  • Resolved internal queries faster
  • Handled high volume of internal queries

Source

AWS Customer Case Studies

Customer story · 29 Apr 2026

How this deployment compares

Computed from the library · data 10 Nov 2026

This is the only Sun Life deployment in the library. It is one of 54 customer personalization deployments, 7 of them in Finance. Like 63% of records, its source gives no figure.

Sun Life in the library

The only Sun Life deployment in the library

Too recent to judgeFollow-through is judged once a record is 1 year old; this one is 7 months old.

Same pattern, whole library

One of 54 customer personalization deployments

  • Finance accounts for 7 of them (13%), ranking #4 of 12 industries.
  • 29 records of this pattern came before it; 14 have been published since.
  • Only 12 of the 54 put a number on the result (22%).
Provider mix
  • Microsoft44%
  • AWS35%
  • GCP22%
Most-used technology
  • Amazon Bedrock 16
  • Azure AI 8
  • Vertex AI 8
  • BigQuery 8
  • Azure OpenAI 6
  • Amazon SageMaker 5

Outlined: used in this record.

Shares describe this library, not the whole market.

Results against peers

No figure here. What peers report

Like 63% of records in the library, the source gives no figure. Peers that do quantify similar claims report:

  • Customer experience50 figures, all industries · middle half 20%–90%28%median increase
  • Time & speed36 figures, Finance · middle half 39%–75%57%median reduction
  • Adoption & scale8 figures, all industries · middle half 134%–1100%250%median increase

Peer figures are as reported by their sources; percentage claims only.

How we checked this record

Evidence tier: supported

A credible source with a named customer, but not the organization's own account.

Named organization
Sun Life
Who published the source
The organization itself
Deployment status
Production (confidence 95%)
Quantified result
The source reports no figure
Summary checked against source
5 / 5 agreement

Last re-checked 13 Jun 2026.

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