Achèv (Canada) generative AI chatbot for newcomer employment & language services using Amazon Bedrock

Achèv, a not-for-profit organization supporting newcomers to Canada, built a custom chatbot to help users navigate employment and language services. The solution uses Amazon Bedrock with Adastra to modernize remote language assessment and personalize interactions for diverse users.

Organization
Achèv
Industry
Other
Location
Canada
Published
August 2024

Reported outcomes

Strategic outcomes

Scale & capacityEnabled simultaneous client assessmentsNew product / capabilityAdded personalized chatbot interactionsCost efficiencyReduced costs through upgraded service modelSpeed & agilityModernized remote language assessment

Primary read

Use case focus

Showing 3 of 3

  • 1Customer Service
  • 2Knowledge Management
  • 3Workflow Automation
  • Clients faced language barriers and obstacles such as waitlists for one-on-one language assessments.
  • Achèv needed a cost-effective way to help users navigate services remotely and personalize guidance.
  • Adastra worked with Achèv to build a custom website chatbot using Amazon Bedrock.
  • The chatbot progressively learns and adapts to user needs and supports hybrid remote language assessment services.
Technologies
  • The implementation enabled simultaneous assessment of multiple clients.
  • It provided seamless personalized chatbot interactions, core backup and restoration, and reduced costs through an upgraded service model.
Architecture

Adastra built a custom website chatbot for Achèv using AWS generative AI tools, including Amazon Bedrock, to support hybrid remote language assessment and personalize service interactions. The solution includes core backup and restoration and is designed to progressively learn and adapt to user needs.

Implementation partners1
Sources & evidence1
Groundedness: 5/5Type: Case StudyPublished: Aug 6, 2024Publisher: AdastraEvidence: PartnerConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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