Operator vertical
KYC, Geo & Fraud AI for Licensed iGaming
Geo-compliance, KYC/AML, bonus-abuse detection, and responsible-gaming retrieval for licensed sportsbook and iGaming operators. Ad channels are limited. Production systems are not.
Built for: Head of Risk, CCO, or VP Payments at a licensed sportsbook / iGaming operator
What breaks before AI
- Bonus abusers and multi-accounting rings eat promo budget
- KYC backlog slows deposits and frustrates good players
- Geo and age controls must survive compact or tribal exam
- Paid channels are limited; leakage still finds you
Fraud-graph and KYC triage patterns from high-volume payment risk—licensed operators only. No unlicensed work.
Workflow pages operators search
Each page owns a specific job-to-be-done query. Start with the bottleneck that hurts this quarter.
Bonus-abuse detection
Search: bonus abuse detection ML
Link devices, payment instruments, and behavior to catch multi-accounting rings—not single-account rules.
KYC / AML triage
Search: sports betting KYC automation
Rank onboarding cases so analysts work the uncertain tail—not every document.
Geo & age integrity
Search: geo-compliance AI iGaming
Location and eligibility checks with audit trails a compact or tribal regulator can inspect.
Responsible-gaming models
Search: responsible gaming AI sportsbook
Score harm signals and trigger interventions your RG team already owns—not a marketing chatbot.
Business outcomes AI can move
- Cut bonus leakage from multi-accounting rings
- Clear KYC without adding a review army
- Keep geo and age controls exam-ready
- Intervene on RG risk before a regulator does
AI capabilities
Each capability maps to a business KPI, revenue, cost, risk, or cycle time, not model accuracy on a slide.
Cost
KYC/AML triage
Rank onboarding cases so analysts work the uncertain tail, not every document.
Risk
Bonus-abuse and fraud graphs
Link devices, payment instruments, and behavior the way we score federal transaction fraud. Rings, not single-account rules.
Geo and age integrity
Location and eligibility checks with audit trails a compact or tribal regulator can inspect.
Cycle time
Responsible-gaming models
Score harm signals and trigger interventions your RG team already owns. Not a marketing chatbot.
Production use cases
- Bonus-abuse and multi-accounting detection
- KYC/AML scoring at onboarding
- Geo-compliance and location integrity
- Responsible-gaming intervention models
How to engage
Start bounded. Scale only when the KPI moves.
Risk diagnostic
From $10kBonus-abuse and KYC queue baseline; first mandate recommendation.
Scoped production mandate
From $25kAbuse graphs or KYC triage live in 6–10 weeks.
Embedded partnership
From $35k/moOngoing risk, geo, and RG models with your compliance team.
Frequently asked questions
Do you work with unlicensed operators?
No. Licensed state, tribal, or compact operators only. If paid ads are restricted, that is a channel problem. If the license is missing, that is not our work.
How do you scope AI for our industry?
Week-one discovery locks business KPIs—revenue, cost, risk, or cycle time—not model vanity metrics. We map your data sources, compliance constraints, and existing stack, then propose a fixed-scope mandate with acceptance criteria or redirect you to a simpler path.
Do you have experience in our sector?
Proven depth sectors (financial services, federal, real estate, telecom, higher education) reflect production systems we've shipped. Growth and operator verticals (MGAs, credit unions, property management, 3PL, RCM, staffing, licensed iGaming, FFL) are selective mandates where those patterns transfer with industry-specific tuning. Biotech, insurance, and regulated work often runs under NDA.
What do we get at the end of an engagement?
Deployable code in your repos, monitoring and runbooks, documentation your team can operate, and knowledge-transfer sessions. The Production Standard is contracted in writing—no handoff to a junior bench after the sale.
What's the fastest way to start?
Book a discovery call or start with a bounded diagnostic: $2,500 Postgres audit, insurance claims-fraud diagnostic from $7,500, or the free MLOps readiness assessment. Each path surfaces whether AI is the right tool before a larger commitment.
The Production Standard
The Production Standard
Six commitments contracted in writing on every engagement.
01
Deploy or redirect
If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.
02
Metrics before models
Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.
03
Governance from day one
Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.
04
Production artifacts
Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.
05
6-week production target
Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.
06
Capability transfer
Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.
Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.
Selective intake · 2026
Your next system shouldship to production.
Agentic development from architecture through deployment, with the Production Standard contracted in writing.