Infosys and ATP introduce Ally, a GenAI powered chatbot delivering trusted, real-time tennis insights through natural conversation.
Infosys and the ATP have launched Ally, a GenAI chatbot designed to modernize fan engagement in professional tennis. Built on Infosys Topaz, Ally addresses a core challenge in sports media. Fans want instant, accurate answers across complex datasets. Match statistics, schedules, draws, and historical records are often fragmented. GenAI unifies this information into a single conversational interface. As well as making tennis data more accessible worldwide.
Ally uses GenAI to deliver real-time, contextual insights through natural language interactions. Fans, journalists, players, and coaches can ask detailed questions and receive concise, human-like responses. Also the chatbot supports head-to-head analysis. As well as player performance trends, and historical comparisons. And by continuous learning allows Ally to improve response quality as new ATP data becomes available. As a result, this shifts fan experiences from passive consumption toward interactive participation.
A major GenAI challenge is trust and accuracy at scale. So Infosys addresses this by grounding Ally in the ATP Stats Centre. This ensures responses remain fact-checked and current. Guardrails reduce hallucinations through content filtering. As well as contextual validation, and PII removal. These controls are critical for global deployment, where misinformation risks can undermine credibility. GenAI becomes reliable because it operates within governed, domain-specific data boundaries.
The extended Infosys–ATP partnership through 2028 signals long-term commitment to AI-led innovation. Alongside Ally, Infosys applies AI to sustainability tools like the ATP Carbon Tracker. Together, these initiatives show how GenAI can scale engagement, simplify complexity, and enhance transparency. For tennis, Ally demonstrates how GenAI enhances massive sports datasets into intuitive, global digital experiences.
This case matters because it illustrates how GenAI can turn complex, fragmented datasets into accessible, real-time experiences at scale. Beyond Infosys and the ATP, it reflects a broader enterprise challenge: delivering accurate, trustworthy insights across large, dynamic information systems. While also maintaining user confidence. The case represents the problem of combining engagement, reliability, and operational control in high-stakes, global contexts. By grounding AI in authoritative data and applying strong governance, organizations can scale interactive, personalized experiences without sacrificing accuracy, credibility, or compliance.
