CANAL+ Group: Generative AI chatbot and AI Factory using Amazon Bedrock (training + POCs)

Use case typeAI platformUpdated Jun 13, 2026

CANAL+ Group modernized its AWS environment to accelerate generative AI adoption for the myCANAL platform, including speech-to-text, natural-language search, and chatbot enhancements. Working with AWS Training and Certification and AWS experts, the company built cloud skills, ran a hackathon for rapid proof-of-concepts, and applied guardrails for responsible generative AI. CANAL+ also created an internal AI Factory for the Gender Equality Monitoring framework, using Amazon S3 and ML workflows to surface insights on gender representation.

Organization
CANAL+ Group
Industry
Tech & Comms
Location
France
Published
May 2026

Reported outcomes

−70%

timeTime & speed

−30%cost

Strategic outcomes

New product / capabilityLaunched generative AI chatbot capabilitiesNew product / capabilityAdded speech-to-text and search featuresRisk & complianceImplemented responsible AI guardrailsBetter decisions & insightCreated an internal AI insights factory

Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 5

  • 1Generative AI Chatbot
  • 2Customer Service Automation
  • 3Knowledge Management
  • Modernize the AWS environment and support new digital media services at scale.
  • Accelerate generative AI adoption for myCANAL while addressing hallucination and data privacy concerns.
  • Build internal cloud skills to improve delivery speed and cost efficiency.
  • Used AWS Training and Certification and AWS expert support to upskill staff and modernize the AWS environment.
  • Ran a hackathon to rapidly develop POCs for speech-to-text, natural-language search, and chatbot enhancements.
  • Built a generative AI chatbot using Amazon Bedrock and implemented guardrails for responsible AI.
  • Established an AI Factory / Gender Equality Monitoring framework using Amazon S3 and ML workflows.
  • Projects delivered 60-70% faster.
  • IT costs reduced by 30%, totaling about $1.09M (€1M).
  • About three months saved in getting the generative AI chatbot platform ready.
Implementation partners2
Sources & evidence1
Groundedness: 5/5Type: Customer StoryPublished: May 13, 2026Publisher: AWSEvidence: PrimaryConfidence: High

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