Case Study
Transforming Operations at Let’s Play Sports
A 19 facility sports and recreation operator swapped fragmented manual workflows for agentic AI, with a projected $4.6 million in annual savings and a clear path to ESOP readiness.
Industry: Sports and Recreation | Use Case: Generative AI Modernization and Operational Scaling
The challenge
Fragmented workflows standing between LPS and ESOP readiness
Let’s Play Sports (LPS) is a leading North American operator of 19 indoor sports and recreation facilities, generating $20M in annual revenue. With a strategic target of ESOP readiness by March 31, 2027, LPS needed to modernize its infrastructure. The company was hindered by fragmented workflows, including manual data aggregation across multiple financial accounts, inefficient league scheduling, and a high-volume, manual hiring process. These operational bottlenecks not only limited scalability but also challenged the auditability required for their ESOP transition.
The AllCode solution
A board ready investment roadmap in two weeks
Applicant screening
Financial reporting
Multi-Facility Scheduling
Self-Service booking
Architecture
From ad-hoc AI to a secure, governed, AI-native platform
We modernized the LPS infrastructure by moving from ad-hoc AI to a secure, governed, and AI-native architecture. Our solution replaces legacy on-premises systems, including outdated SQL Server infrastructure, with a high-performance environment built on Amazon Bedrock.
By leveraging a comprehensive suite of tools including Amazon Quick Suite for advanced analytics and secure foundations like Amazon S3, RDS, and Bedrock Guardrails, we transitioned LPS to a centralized, scalable platform. This architecture ensures that as LPS grows, their operational data remains secure, compliant, and ready to drive future AI-driven insights.
Business impact
What the Roadmap Unlocks
The modernization roadmap delivered by AllCode positions LPS to transform their operational landscape, with projected results including:
Million dollars in projected total annual savings
%
Projected return on investment within two years
%
Reduction in manual scheduling labor
Day monthly close, down from 10 days (driving $1.15M in annual savings)
Partnering with AllCode allowed us to transform fragmented operational processes into a strategic asset. By modernizing our workflows with generative AI, we are building the auditability and scalability required to meet our ESOP readiness goals with confidence and saving costs.