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AI Agent Case Study: Automating Support with Amazon Bedrock & AgentCore

AWS GenAI Competency Partner

At a Glance

Client: Let’s Play Soccer
Industry: Sports Management & Recreation
Challenge: Overwhelming volume of manual administrative inquiries and scheduling requests.
Solution: AI Automation Agents using Amazon Bedrock AgentCore.
Services Used: Amazon Bedrock AgentCore, Strands Agents SDK, AWS Lambda, Amazon DynamoDB
Outcome: Enabled instant, 24/7 automated resolution for thousands of player and team inquiries.
Key Impact: 85% of routine tasks automated; 70% of routine inquiries now handled entirely by AI; 25%-35% operational cost reduction.

About Let’s Play Soccer

Let’s Play Soccer is a nationwide soccer league and facility network providing organized recreational soccer, team management tools, and match scheduling for players across multiple U.S. regions. Serving thousands of teams, they are the backbone of recreational soccer for tens of thousands of players annually.

The Challenge: Scaling Support for Thousands of Players

Despite strong demand, the organization faced challenges managing the sheer volume of player interactions. Manual handling of team requests, rule clarifications, and scheduling changes was creating friction.

  • Bottlenecked Staff: Valuable staff time was consumed answering repetitive questions.
  • Delayed Responses: Players often had to wait for business hours to get answers to simple questions.
  • Lack of Standardization: Manual responses occasionally led to inconsistent application of league rules.

The Solution

Let’s Play Soccer engaged AllCode to architect an intelligent automation layer. The goal was to build “AI Agents” capable of understanding context, consulting rulebooks, and executing decisions without human intervention.

Technical Architecture AllCode integrated generative AI agents directly into the existing AWS environment using Amazon Bedrock AgentCore.

  1. The Brain (AgentCore & Strands): Using the Strands Agents SDK, AllCode defined agent workflows and logic models that could “reason” through player requests.
  2. The Knowledge Base: Agents were connected to Amazon DynamoDB to access real-time league data, schedules, and rule sets.
  3. Secure Execution: The system uses AWS Lambda and API Gateway to securely trigger agents from web forms, with IAM and Secrets Manager ensuring strict access control.
  4. Guardrails & Safety: To ensure safe interactions, AllCode implemented Guardrails for Amazon Bedrock to redact PII and enforce topic boundaries, ensuring agents only answer league-related questions and never hallucinate scheduling conflicts.

Why AllCode for AI Agent Development?

Let’s Play Soccer needed a partner capable of building complex, logic-driven AI, not just simple chatbots. AllCode’s experience with Agentic Workflows allowed them to build a system that could actually do work, not just talk.

The Results

The deployment of AI agents has modernized the player experience, offering instant gratification for inquiries that previously took days to resolve.

Key Metrics

  • Ticket Deflection: 70% of routine inquiries now handled entirely by AI.
  • Resolution Time: Reduced average time-to-resolution from hours to seconds.
  • Staff Efficiency: 25%-35% reduction in operational costs.

Impact Summary

  • 24/7 Availability: Players get answers to rule and schedule questions instantly, day or night.
  • Consistent Decisions: AI agents apply league rules uniformly, eliminating human bias or error.
  • Enterprise Scalability: The serverless architecture allows the league to expand to new regions without linearly increasing support costs.

Conclusion

By continuing to invest in AWS-backed AI and automation, Let’s Play Soccer is positioned to deliver smarter, faster, and more delightful experiences for players, teams, and staff.