What challenges did Halodoc face before AI implementation?

Halodoc needed reliable operations and healthcare-regulation security while serving a geographically dispersed population. The company wanted to improve patient and claims workflows and reduce costs while handling demand spikes. Halodoc also aimed to expand beyond operational resilience into AI-driven healthcare capabilities.

What was the impact of the AI solution?

Halodoc achieved 99.99 percent uptime. It reduced costs by 35 percent. Patient experience improved with 70 percent faster claim settlements.

Rank#1,423of 3,449

Source

ProductionEvidence: Medium65/100

Halodoc adopts Amazon Bedrock for AI and boosts claims/uptime with AWS (via Amazon EKS/EC2)

Use case typeAI development platformUpdated Jun 13, 2026

Halodoc is an Indonesian digital healthcare platform working to improve healthcare access across Indonesia's 17,000 islands. The company partnered with AWS Enterprise Support to accelerate its cloud transformation, improve reliability, strengthen security, and introduce AI-driven capabilities with Amazon Bedrock.

Organization: Halodoc
Industry: Healthcare
Location: Indonesia
Published: June 2026

Reported outcomes

+70%

claim settlement speedTime & speed

+100%uptime−35%cost reduction

Strategic outcomes

New product / capabilityIntroduced AI-driven healthcare capabilitiesCustomer experience & trustImproved patient claim settlement experienceSpeed & agilityBuilt resilient operations for demand spikes

Catalog median for time & speed deployments: +60% across 143 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Uptime: 100% increase

AWS Solutions Case StudyJun 8, 2026Customer storyExplicit claimMedium evidence strength

99.99% uptime

Normalized claim

Cost reduction: 35% decrease

AWS Solutions Case StudyJun 8, 2026Customer storyExplicit claimMedium evidence strength

reducing costs by 35%

Normalized claim

Claim settlement speed: 70% increase

AWS Solutions Case StudyJun 8, 2026Customer storyExplicit claimMedium evidence strength

70% faster claim settlements

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Halodoc
Provider: AWS
Maturity: Production
Linked source: AWS Solutions Case Study

Halodoc also aimed to expand beyond operational resilience into AI-driven healthcare capabilities

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

1Healthcare operations
2Claims processing
3Infrastructure resilience

Halodoc needed reliable operations and healthcare-regulation security while serving a geographically dispersed population.
The company wanted to improve patient and claims workflows and reduce costs while handling demand spikes.
Halodoc also aimed to expand beyond operational resilience into AI-driven healthcare capabilities.

Halodoc used AWS Enterprise Support to obtain architectural guidance and proactive optimization.
The company built resilient infrastructure on Amazon EKS and Amazon EC2 to handle demand spikes and maintain uptime.
Halodoc implemented AWS Shield Advanced to meet security and regulatory requirements.
The company adopted Amazon Bedrock for AI-driven solutions and plans to expand generative AI into predictive healthcare models.

Technologies

Amazon Bedrock Amazon EKS Amazon EC2 AWS Shield Advanced AWS Enterprise Support

Halodoc achieved 99.99 percent uptime.
It reduced costs by 35 percent.
Patient experience improved with 70 percent faster claim settlements.

Architecture

Halodoc partnered with AWS Enterprise Support to build resilient infrastructure on Amazon EKS and Amazon EC2, protect services with AWS Shield Advanced, and adopt Amazon Bedrock for AI-driven solutions.

Sources & evidence1

Evidence: Medium65/100Evidence strength