How It Works
From connection to first alert in weeks, not months
SportsBookIQ connects through your existing platform APIs, configures to your operating model, and starts delivering intelligence through the channels your team already uses.
Deployment
Lean integration. No infrastructure changes.
Connect via Standard APIs
SportsBookIQ connects through your existing platform APIs — Kambi, Playtech, and similar providers. No custom data pipelines, no database replicas, no infrastructure changes. We use the same connectors your platform already supports.
A two-week technical sandbox validates data connectivity, latency, and coverage against your specific setup before any commitment.
Configure Your Modules
Choose the modules that match your operational priorities. Each module is independently deployable — start with compliance, fraud, trading, or CRM based on where you need intelligence first.
Threshold sensitivity, alert channels, escalation paths, and team access controls are configured to match your operating model.
Real-Time Monitoring Begins
SportsBookIQ begins continuous monitoring of your operational data across the deployed modules. Trading patterns, player behaviour, compliance indicators, and operational health are analysed in real time.
Every signal is cross-referenced across modules. A fraud signal can trigger a compliance alert. A trading anomaly can surface a player investigation.
Alerts Delivered Where You Work
Proactive alerts with root cause attribution and recommended actions are delivered through Telegram, Slack, Teams, or web — depending on how each team prefers to work.
No new app to adopt. No dashboard to check. Intelligence reaches your team in the channel they already use, with context and a recommended next step.
Three Ways Intelligence Reaches You
Not another dashboard. An operating partner.
Conversational AI Assistant
Ask questions about your live operational data in natural language. Exposure, margins, player behaviour, market conditions — no SQL, no exports, no waiting.
"What's our liability on the Champions League final?"
"Show me VIP players with declining activity this week"
"What's driving the margin compression on tennis?"
Proactive Intelligence Alerts
SportsBookIQ does not wait for you to ask. It monitors continuously and pushes alerts when something needs attention — with root cause already identified and action already suggested.
Sharp money detected → odds adjustment recommended
VIP churn signal → retention campaign drafted
Licence KPI trending toward breach → early warning sent
Real-Time Playbooks
Every alert comes with context and a recommended action. Hedging options calculated. Retention campaigns drafted. Compliance reports generated. The next step is ready before you finish reading the alert.
Liability concentration → hedge amount and counterparty pricing
Bonus abuse detected → evidence chain compiled
New regulation published → compliance gap analysis generated
Delivery Channels
Delivered where operators already live
Telegram
Primary channel. Alerts, briefings, and conversational queries — already where your trading team lives. No new app to adopt.
Web Dashboard
Deep analysis, historical trends, and detailed reporting when you need to go deeper than a message-based interaction.
Slack / Teams
Enterprise integration for operators whose teams run on Slack or Microsoft Teams.
Architecture
Why this architecture matters
Standalone, not embedded
SportsBookIQ is not tied to any single platform vendor. Switch your odds provider, change your CRM system, migrate platforms — your intelligence layer stays intact.
Cross-domain intelligence
A fraud signal becomes a compliance alert. A trading anomaly triggers a player investigation. Signals are connected across domains because risk does not respect departmental boundaries.
Human-in-the-loop
SportsBookIQ recommends — it does not execute. Every alert includes a recommended action, but the decision remains with your team. Full control, full visibility.
Lean connector strategy
Standard API connectors mean faster deployment and lower maintenance. No bespoke integrations, no dedicated data engineering resources, no ongoing connector management overhead.