Autonomous AI Agent for iGaming — background investigations

The Autonomous Agent is an add-on to the Gamblitude Business Intelligence Platform that runs independent investigations alongside the platform’s data warehouse, analytics and predictive models. It is aimed at iGaming operators who want business changes flagged without writing prompts or recurring tasks.

Core capabilities and delivery channels

The agent starts investigations in the background without a user prompt or a configured recurring task. It links changes across the business rather than analysing a single isolated KPI. Insights can be delivered through Email, Slack, Telegram, Microsoft Teams, MCP or Webhook, and are also available in the platform. Each insight includes the finding, supporting numbers and an explanation of why it matters.

Vertical adaptation and memory

The agent adapts to the operator’s vertical, including casino, sportsbook, sweepstakes or another vertical. It retains conversation history and past business events as memory, so new findings can connect to earlier discussions and events.

Team controls and insight categories

Users choose the insight categories they receive from a list that includes CRM & retention, Trading, Payments, Risk management, Casino, Operations, Responsible Gambling, AML, Finance and Product. Team feedback can mark topics as relevant or less relevant, which guides the agent’s focus and filters unwanted topics.

Collaboration on insights

A team member can claim an insight by clicking to put an avatar on it, so colleagues can see it is already being investigated. The “Discuss with AI Agent” action opens a conversation with the insight context attached and a prepared question that can be sent or edited, allowing follow-up analysis.

Availability

The Autonomous Agent is available to every customer using the Gamblitude Business Intelligence Platform.

Operators running CRM and retention programmes can receive flagged changes in Slack, Teams or Telegram and open each one with its comparison period and related metrics.