Fast Track Adds Agent-To-Agent Support To Fast Track AI

Fast Track has launched agent-to-agent support for Fast Track AI, enabling its AI technology to communicate and collaborate directly with other agents used across an iGaming operator’s organisation.

The functionality extends Fast Track AI beyond the company’s own interface, allowing external agents to request information, interpret player activity and access relevant context within their existing workflows.

Fast Track’s platform currently supports CRM, player engagement, gamification, real-time player intelligence and decision-making, with its AI and data science capabilities used to analyse player behaviour and model player value.

Extending Fast Track AI Across Operator Systems

Fast Track said the agent-to-agent approach differs from providing external agents with access solely through APIs or Model Context Protocol (MCP) tools.

With an MCP implementation, the external agent remains responsible for determining when and how individual tools should be used. Under Fast Track’s model, knowledge of its platform and underlying capabilities remains within Fast Track AI.

This allows other AI agents to interact with a specialised Fast Track agent without requiring detailed knowledge of the platform’s data structures, APIs or internal tools.

Fast Track AI can interpret requests and provide relevant player information or actions while operating within the workflows, governance requirements and controls established by individual operators.

Simon Lidzén, co-founder and CEO of Fast Track, said:

“We believe organisations are moving towards a world where people and agents work together.

“For that to scale, a single agent cannot be expected to understand the inner workings of every system it interacts with.

“Fast Track AI already understands Fast Track, the player context within it, how its capabilities work together and the workflows and governance established by the operator. Agent-to-agent support means that intelligence can now participate directly in a much wider agentic organisation.

“We want Fast Track AI to work alongside the other agents an operator adopts, helping them make better-informed decisions wherever those decisions are being made.”

Platform Expands Beyond CRM

Fast Track has continued to expand its platform beyond CRM execution, combining real-time player data, engagement history, gamification, gameplay risk, value modelling and AI-supported decision-making.

Its portfolio includes Fast Track Rewards, Greco and True Value, which form part of the company’s wider player intelligence and data capabilities.

Under the agent-to-agent model, an AI agent operating elsewhere within an organisation could request player context or intelligence from Fast Track AI without needing direct knowledge of the company’s underlying technology.

Fast Track AI can then interpret the request and provide the relevant information or action within the controls established by the operator.

“The opportunity becomes much bigger when agents stop being confined to individual products. An agent should be exceptionally good at understanding its own domain, but it should also be able to collaborate with the rest of the organisation,” Lidzén added.

“As Fast Track continues to expand its capabilities in AI, data science and modelling, we want that intelligence to become increasingly useful across the operator, not only inside one interface or one team. Agent-to-agent support is an important step in making that possible.”

The functionality forms part of Fast Track’s continued development of its AI-based platform for iGaming operators.