AI Player Support for iGaming Operators
Resolve 65-80% of player tickets autonomously. Eliminate 30+% at root cause before they reach the queue. Enforce KYC, AML, and responsible gaming on every interaction, with a full audit trail. Live in production at Betsson France.
Support Agent
Production at Betsson France.
Last 30 days · Email · Chat · KYC- ~75%Combined autonomyacross all player issues
- 30+%Tickets eliminatedat root cause before reaching the queue
- €0.50-0.80Cost per ticketvs. ~€4.00 fully-loaded baseline
- 1,100Human hours savedper month
- 3.3 minAverage resolution timeacross Email, Chat, KYC
- 100%Policy enforcementon every triggered interaction
A day in AI player support
What the agent runs on its own, and where it hands off by design.
Your CS team writes the rules.Not engineering.
Read the full ManifestoProduction AI in 2-6 weeks. Live in production at Betsson France.
The Operating Reality
Your iGaming customer-support reality.
Five constraints shape every iGaming CS deployment. Meet them, or don't ship.
Compliance required on every interaction
ANJ-grade KYC, AML, and responsible-gaming policy applied in real time, with an audit trail a regulator can interrogate in seconds.
Accountability for each decision made
You answer for every outcome, and the rules can't be bent. Every action has to trace to its policy, inputs, and response, and stand up to a regulator review on demand.
2-6 tools involved for each ticket
One issue touches PAM, ticketing, KYC, bonus, and payments. The cost was never intelligence, it was orchestration across systems.
Round-the-clock demand, spiking at every peak
Traffic spikes hard around major events. AI absorbs the surge instantly, no overstaffing, no response-time degradation.
Human time scaling with volume
In-house runs ~€4.00 per ticket and climbs through peaks. Production AI takes it to €0.50-0.80, at higher quality, zero seasonal drift.
What the Agents Handle
Six domains, resolved with measured autonomy and deliberate control.
Each domain pairs an AI capability with a deliberate human boundary, because some calls belong with a human by design.
Promotions & Offers
Bonus eligibility, wagering, welcome-offer disputes. Routine cases close in one turn; complex eligibility routes to the bonus team with context.
KYC & Document Processing
Identity reconciled against the player profile at every level. Fuzzy name-matching resolves L1 mismatches; L2 proof-of-address approaching 100%.
General Inquiries
Open-ended account questions. The agent holds a fluid conversation and switches to a deterministic routine the moment a regulated topic surfaces.
Withdrawals & Payments
Status, payment-pending diagnostics, compliance checks. Bank-account changes route to human review by design, the highest fraud risk.
Player Information Updates
Personal data, limits, preferences. Applies the right verification gate, then completes (low-risk) or hands off with a full brief (high-risk).
Login & Account Access
A complex routine across multiple tools and teams, resolved without escalation in nearly all cases. Autonomy on intricate workflows, not just FAQs.
Customer voice
“Roughly 75% of our customer issues are resolved by AI, 65-80% of incoming tickets handled autonomously, plus 30+% of would-be tickets eliminated proactively at root cause. We run it ourselves, and every decision is traceable.”
Integration Depth
Autonomy compounds with integration depth.
The cap on autonomy isn't the AI, it's the integration surface. Every system the agent can reach becomes a new capability.
PAM
Player data, balances, and account status, read + write.
Zendesk
Email + Live Chat: reads tickets, runs workflows, owns the lifecycle.
Sumsub
KYC: status checks, document-review outcomes, verification triggers.
IBAN/RIB validation
Bank-account validation for withdrawal eligibility.
InteractiveAI OCR
Proprietary OCR for document-heavy KYC and bank verification.
Promotion engine
Bonus eligibility, offer state, and wagering data for the Promotions routine.
Jira
Escalation routing for payments, compliance edge cases, and fraud flags.
Governance
Governed every turn. Not after-the-fact.
The four properties that make production AI survive an ANJ, MGA, UKGC, or AAMS audit.
Enforcement is architectural, not probabilistic
High-criticality policies (KYC, AML, responsible gaming, withdrawal disclosures) are evaluated in a deterministic engine at every decision point, with precedence resolved structurally before context reaches the model.
Decision traceability on every action
Every policy match, tool call, and response is logged with the agent's reasoning, captured as hierarchical traces. When the agent misfires, the trace points to the specific policy, which the team edits or reverts directly.
Operations writes the policy, not engineering
Compliance and CS managers author rules in natural language, test them, and deploy directly. No engineering ticket sits in the critical path of a policy change. The teams accountable for the outcomes are the ones operating the AI.
Hallucination prevention by design
Interactive Reasoning Queries require source citation on every factual claim, structurally preventing fabrication of bonus terms, withdrawal limits, or verification requirements.
Pilot
Production AI in 2-6 weeks.
We deploy production-grade Interactive Agents into your highest-volume CS domains, integrated with PAM, your ticketing platform, your KYC provider, and your bonus engine. Measurable success criteria defined upfront.
Frequently asked questions
Everything you need to know about InteractiveAI. Can't find the answer you're looking for? Reach out to our team.