Customer Snapshot
- Industry: iGaming (live & RNG titles)
- Scale: Games supplied to ~2,000 brands worldwide; ~2 million monthly players; high 8-figure number of transactions daily
- Team: Lean, high-velocity Risk & Integrity group
- Stack: Data warehouse (>300 tables) + operational tools (Salesforce, messaging, platform back-office)
- Channels: Email, Slack, WhatsApp for executive/partner requests
The Challenge, Launch Speed Meets Risk Capacity
BetGames’ product cadence stepped up: portfolio doubled and launches moved to 2–3 games per month. That pace spiked event volume (more sessions, transactions, regions, currencies, and partners), raising the bar for player-level risk detection, partner integrity checks, and incident response.
Traditional workflow broke under load:
- Analysts pulled data across warehouse + tools, then compiled manual PDFs for partners.
- Ad-hoc questions from executives or account managers created queue times.
- There was no fast way to explain the “why” behind a risk spike (velocity, bots, player syndicates, geo mismatch, play pattern), nor to close the loop, create tasks, notify the right people, and leave an auditable trail in systems of record.
BetGames needed a way to scale risk & integrity without adding headcount.
Why Milo (Agentic GenBI)
Milo combines analysis + causal explanation + action in one flow:
- Connects to all data sources (DWH and operational tools in this case); no heavy re-platforming.
- Understands context (players, partners, game titles and rules) and explains the drivers behind a spike or anomaly with a transparent evidence panel.
- Acts with governed automations: Slack escalation, PDF report generation, and Salesforce notes, with approvals, RBAC, allow-listed fields, rollback, and immutable audit.
- Learns from every interaction and human feedback. Simply give Milo instructions as you would give a human.
Non-technical users can ask Milo in plain English (web, Slack, WhatsApp/Teams) and receive WHAT à WHY à DONE outcomes in minutes, 24/7.
Solution in Action, From Signal to “Done”
Typical requests (Slack or web):
“Milo, check player-level risk for UK partners (last 24h). Highlight anomalies, explain the drivers, and prepare a PDF for Partner X. Escalate anything critical.”
“Conduct a comprehensive risk profile for player Y and highlight anything suspicious.”
What happens behind the scenes
- Blend & assess: Milo queries cross-source data via its federated engine, runs pattern checks (deposit/play velocity changes, geo/IP mismatch, device fingerprint shifts, game rules, play patterns, odd time-of-day clustering, z-scores and more).
- Explain the why:
- “Risk ↑ on Player Y on Brand X for Game Z”
- “Deposit velocity 3.7x baseline; device fingerprint changed; new IP range; negative GGR for >5 consecutive sessions; etc.”
- Inline citations to the exact queries and tables.
- Proposed actions (policy-aware):
- Post a Slack summary into Game Risk channel; Suggest to contact partner for additional check on their end;
- Generate a player assessment PDF (timestamped, versioned) and email/Slack it to the partner contact with ask for more details on player behavior on non-Betgames products;
- Add a Salesforce note to the partner record.
- Execute with guardrails: Approvals if thresholds are exceeded; scoped write-backs; undo available; everything logged in the audit trail.
Result: The human team sees the why, partners get a consistent report, and next steps are already in motion, no swivel-chair ops.
Day-in-the-Life: Before vs After
Before
- Risk team time spent stitching queries + spreadsheets and multiple back-office tools
- Reports created by hand; CRM updates done later (or forgotten)
- Sometimes hours between detection and action; partner follow-up inconsistent
After with Milo
- Prompt à Explain à Act loop in a single thread
- Slack message + PDF auto-delivered + Salesforce updated
- Minutes between detection and action; 24/7 coverage
- Anyone (execs, AMs, vetted partners) can self-serve
“Milo doesn’t just alert, it explains with evidence and executes the next step. I finally took a vacation and came back to everything actioned.” Aivaras Juškevičius, Head of Risk & Integrity, BetGames
Measurable Impact (first 4 weeks)
- Analyst hours saved / month: >50
- Automated partner reports / month: >60 (reports generated & delivered)
- Salesforce hygiene: 100% of incidents with notes same day
What the Team Loved
- No new headcount to keep pace with >2x launch velocity
- Transparent “why” for every escalation, no black-box alerts
- Receipts for partners & execs (PDF + CRM note + Slack thread)
- Milo Learns: Milo learns through human feedback and instructions
- Frictionless access: web, Slack, even WhatsApp/Teams for quick asks
- Future-proof: new games and partners slot into the same playbooks
What’s Next
- Extend playbooks to new game launches and regional integrity checks
- Add partner scorecards (monthly rollups) and risk-aware limit recommendations
- Extend actions to automated limit settings
- Broaden self-service for vetted partner stakeholders (ask Milo via partner support channels)
About Milo (Agentic GenBI)
Milo is an agentic GenBI analyst who cuts the time from data request to operational action implemented from days to minutes. Ask in plain English, build dashboards and get insight backed by data, then trigger governed actions in your systems, complete with approvals and an audit trail. Decisions stop dying in dashboards. Outcomes ship themselves.
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