Swisscom, Switzerland's largest telecom provider, faced the challenge of scaling AI solutions for thousands of customers while adhering to strict data security requirements. By implementing enterprise AI agents powered by Amazon Bedrock AgentCore, the company not only ensured compliance but also reduced the time to first customer demos to 3-4 weeks, significantly enhancing customer support and sales.
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The Problem: "Automation Ceiling" and the Complexity of Scaling AI
Swisscom has long invested in AI but encountered what it calls the “automation ceiling,” where traditional approaches fail to meet modern business demands. Key challenges included:
- Fragmented Solutions. Numerous AI solutions operated in silos, hindering cross-functional interaction.
- Coordination Complexity. Addressing typical customer inquiries (e.g., router issues: billing, network outage, configuration) required coordination between different departments, where data and logic were stored separately.
- Security and Authentication. Strict security and authorization based on the principle of least privilege were necessary, especially given Swiss data protection laws.
- Integration and Interoperability. Centralized access to MCP servers (Model Context Protocol) and other agents was needed, along with maintaining compatibility with existing AI systems.
- Analytics and Monitoring. Standardized methods for collecting long-term customer preference data and evaluating agent performance were lacking.
The Solution: A Unified Platform for AI Agents on AWS
Swisscom implemented Amazon Bedrock AgentCore to create a unified platform for developing and scaling enterprise AI agents. Key components of the solution include:
- AgentCore Runtime. Allows developers to focus on agent logic, while the platform provides secure hosting, automatic scaling, and session isolation.
- AgentCore Identity. Integrates with Swisscom's existing identity system, simplifying authentication and authorization between agents, tools, and data sources.
- AgentCore Memory. Offers a robust solution for managing short-term and long-term agent memory, critical for understanding customer context in B2C operations and maintaining data privacy.
- Strands Agents Framework. Accelerates agent development, providing built-in tracing, evaluation, and logging capabilities, significantly reducing time-to-market.
This architecture enables the creation of agents capable of communicating with each other (Agent2Agent protocol) and with external systems (MCP servers), ensuring seamless interaction between departments.
Results and Benefits: Accelerated Development and Improved Customer Experience
The platform implementation brought measurable results for Swisscom:
- Accelerated Development. Development teams with no prior experience in Strands Agents achieved their first business stakeholder demos in just 3-4 weeks. One team even migrated from another implementation (LangGraph) to Strands Agents, noting reduced complexity and faster development cycles.
- Enhanced Customer Support Quality. Two B2C use cases were successfully implemented: generating personalized sales pitches and automated support for technical issues. Agents are integrated into the existing SAM chatbot, handling thousands of requests per month with low latency.
- Security and Compliance. AgentCore Identity ensures strict access control, and AgentCore Memory guarantees separate storage of each user's data, which is crucial under Swiss data protection laws.
- Scalability. AgentCore Runtime efficiently handles thousands of requests per month, optimizing costs and maintaining high performance.
Source: aws.amazon.com
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