Customer Service Automation · Document Processing
Healthify needed a better way to support multilingual coaching analytics, generative AI assistance, and operational analytics for a health and wellness platform because legacy AI and analytics workflows were too slow and expensive to scale while keeping customer support quality and infrastructure reliability high.
Reported impact
Healthify improved multilingual coaching analytics, generative AI assistance, and operational analytics for a health and wellness platform with measurable results including 40% reduction in costs, 30% reduction in query response times, and 99.99% uptime maintained, while giving teams a faster path from governed data to production decisions.
Healthify uses Amazon Bedrock and Amazon SageMaker to support multilingual coaching analytics, generative AI assistance, and operational analytics for a health and wellness platform. The implementation replaced a legacy state where legacy AI and analytics workflows were too slow and expensive to scale while keeping customer support quality and infrastructure reliability high. Coach audio calls and wellness app activity move through AWS Enterprise On-Ramp and AWS Database Migration Service and land in Amazon Redshift, giving teams one trusted data foundation. Central governance keeps access, lineage, and compliance consistent across downstream teams. Amazon Bedrock, Amazon SageMaker, and Amazon Comprehend operationalize models, agents, and analytics that deliver coach summaries and action items and auditor insights.
Coach audio calls and wellness app activity land on a shared platform, pipeline services clean and standardize them, governance controls enforce trusted access, and AI, model-serving, and analytics services deliver coach summaries and action items and auditor insights.
From the perspective of the infrastructure and data teams, we have peace of mind that we will be able to resolve issues quickly.
In January 2024, our systems that run on AWS had 99.99 percent uptime,
Our Amazon Bedrock–powered Call Analytics solution is expected to provide up to a 75 percent increase in our nutritionist coaches’ capacity to accommodate clients,
When we review our internal metrics, we see that all our analyst queries have far lower waiting times,
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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