AWS Bedrock AgentCore Helped Cut AI Agent Costs by 97%
AWS Bedrock AgentCore helped Works Human Intelligence build AI agents for business support. Costs fell by 97% and operational efficiency rose. The agents handle customer requests automatically and scale without the need to hire more people.
AI-processed from AWS Machine Learning Blog; edited by Hamidun News
Amazon Bedrock AgentCore let AWS and Works Human Intelligence build AI agents for business support that cut costs by 97% and improved operational efficiency.
The problem: scaling without people
At companies that serve customers, the classic model requires people to handle every request, from simple questions to complex problems. As the customer base grows, costs grow linearly: staff need training, management, salaries and quality control.
Works Human Intelligence faced a typical challenge: how to automate customer service to save on staff without losing quality in its answers. Traditional chatbots were not suitable, because they work only with pre-written scripts. The company needed a solution that can reason, access corporate data and make decisions on its own.
Amazon Bedrock AgentCore: a platform for reasoning agents
Amazon Bedrock AgentCore is a platform for building AI agents that integrate with corporate systems and carry out multistep tasks. The agent reads a customer's request in natural language, works out which tools it needs and calls them automatically.
Key capabilities:
- Integration with a company's databases, CRM and legacy systems
- Natural language processing to understand customer requests
- Automatic routing and classification of tasks
- Scaling of service without hiring additional staff
- Transparency of the agent's decisions: you can see which data was used
Results: 97% lower costs and faster service
Works Human Intelligence deployed two AI agents on Bedrock AgentCore for different support areas. Costs fell by 97%: serving one customer now costs 30 times less than under the human-based model. Response time dropped from hours to minutes. The agents work 24/7, with no shifts or breaks.
"Bedrock AgentCore let us rethink the entire service process.
What used to require a person for every request is now done by a single agent handling thousands of requests."
What this means
AI agents are moving out of the experimental category and into the category of critical business tools. For companies that serve people (banks, insurers, SaaS, e-commerce), a 97% saving is not just a number but a shift to a fundamentally new economics of scale.
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Key Questions Answered
What are the key details on The problem: scaling without people?
At companies that serve customers, the classic model requires people to handle every request, from simple questions to complex problems. As the customer base grows, costs grow linearly: staff need training, management, salaries and quality control. Works Human Intelligence faced a typical challenge: how to automate customer service to save on staff without losing quality in its answers. Traditional chatbots were not suitable, because they work only with pre-written scripts. The company needed a solution that can reason, access corporate data and make decisions on its own.
What are the key details on Amazon Bedrock AgentCore: a platform for reasoning agents?
Amazon Bedrock AgentCore is a platform for building AI agents that integrate with corporate systems and carry out multistep tasks. The agent reads a customer's request in natural language, works out which tools it needs and calls them automatically. Key capabilities: Integration with a company's databases, CRM and legacy systems Natural language processing to understand customer requests Automatic routing and classification of tasks Scaling of service without hiring additional staff Transparency of the agent's decisions: you can see which data was used
What are the key details on Results: 97% lower costs and faster service?
Works Human Intelligence deployed two AI agents on Bedrock AgentCore for different support areas. Costs fell by 97%: serving one customer now costs 30 times less than under the human-based model. Response time dropped from hours to minutes. The agents work 24/7, with no shifts or breaks. "Bedrock AgentCore let us rethink the entire service process. What used to require a person for every request is now done by a single agent handling thousands of requests."
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