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Agents that transform operator economics.

From operator request to system action – instantly.

AxiumAI builds autonomous AI agents that understand the task required and act across the sportsbook stack to achieve the required outcome at scale. Each agent can read context, verify policy, trigger APIs and complete workflows instantly in real-time.

AML.  RG.  Marketing.  CS.  Trading.  Payments.

  • No queues.
  • No manual workflows.
  • Just decisions executed instantly.
Agent Console Operator-controlled · Tool-using · Audited
AI Agent
Control: On
Plan Policy checks

Outcome

Operating model

Delegate → Control → Scale

We build specialised AI agents that take actions using your tools - within policies and permissions you define.

1

Delegate

Teams delegate high-volume or high-complexity work to agents - case triage, comms, optimisation, reporting and customer journeys.

"Triage these alerts." "Resolve this customer issue." "Optimise next week's offers."
2

Control

You control behaviour with policies: what the agent can access, which tools it can call, what it can approve, and when to escalate.

"Based on the alert type and thresholds, assemble a case pack, draft the narrative, and route for compliance approval."
3

Scale

Agents execute safely at scale: they run workflows, call tools, produce artefacts, and hand off to humans with full context when needed.

Example Use cases

Two high-impact deployments

Purpose-built AI agents for Customer Service and AML - designed specifically for betting & gaming operators.

Customer Service Agent

Your CS team’s smartest employee just clocked in.

An AI agent that doesn’t just answer customers - it investigates, resolves, and learns. Across live chat, email and WhatsApp. In seconds.

THE PROBLEM

80% of time is spent logging into multiple systems, copying data, and cross-referencing details. The decision takes 30 seconds. Getting there takes 10 minutes. Match day hits - queues explode.

THE AGENT

Handles the full lifecycle: intake → investigation → resolution. Pulls real-time data from payments, betting engine, bonus platform, AML, RG and CRM. Resolves autonomously or queues one-click approval.

THREE TIERS OF AUTONOMY

Tier 1 — Auto-Resolve (60–70%)

Clear-cut queries handled end-to-end. “Where’s my withdrawal?” Pull status → Personalised answer → Done.

Tier 2 — Assisted (20–25%)

Agent investigates and recommends. Human approves with one click.

Tier 3 — Escalation (10–15%)

Complex cases. Full case file built so humans start at the answer.

Configurable autonomy by action type and amount
Spending caps on goodwill credits
Confidence thresholds with auto-escalation
RG, AML and GDPR guardrails hardcoded
IMPACT
First response: Seconds
Resolution (Tier 1): Under 1 minute
Queries per agent/day: Fully scalable: Unlimited
Cost per resolution: £0.10–£0.50
24/7 coverage: Native
AML / Compliance Agent

Your compliance team just got a 24/7 analyst that never misses.

Monitors every transaction, investigates every alert, and builds every case - so analysts focus on judgment, not data gathering.

THE PROBLEM

Thousands of alerts. 90%+ false positives. Hours spent pulling data and writing narratives. Meanwhile, sophisticated patterns hide in the noise.

THE AGENT

Investigates before the analyst even opens the case. Builds a complete case file, writes a regulator-ready narrative, and recommends the next action with confidence scoring.

Behavioural + network detection across accounts
Cross-product correlation (sportsbook, casino, poker)
Structuring and velocity pattern recognition
SAR drafts prepared for MLRO review
IMPACT
False positives: ↓ 60–80%
Investigation time: Minutes
SAR drafting: Pre-drafted
Alert coverage: 24/7, zero gaps
Analyst capacity: Fully scalable: Unlimited
AxiumAI capability

Outcome focused agents for every function

Deploy specialised agents across your sportsbook / gaming business - each with the tools and guardrails it needs.

What we build

Tool-using agents that get work done.

Each agent is designed around a concrete objective (e.g., resolve cases, reduce risk, optimise promos) and can call specialised tools to execute - safely and transparently.

Acquisition
CRM
UX
Payments
Risk
Bonus Optimisation
KYC:AML
RG
Real-time Insight
Plans actions before executing
Uses tool allow-lists + scoped permissions
Produces case packs, drafts, and structured outputs
Escalates with context when required
Example deployments

Start with one agent. Scale to many.

We typically launch a focused scope to prove value, then expand across departments using shared tooling, policies and templates.

Customer Service Agents
  • Resolve common queries end-to-end (bets, payments, promos)

  • Pull account context, verify status, update tickets

  • Escalate with a full audit trail and suggested next steps

AML / Fraud Ops Agents
  • Triage alerts and assemble case packs

  • Cross-check KYC, payments, device, behaviour signals

  • Draft narratives and route for approval

Responsible Gambling Agents
  • Generate compliant customer comms and support flows

  • Orchestrate limits, cool-offs, and safer play journeys

Marketing & Bonus Optimisation Agents
  • Segment, personalise and schedule campaigns

  • Optimise bonus cost vs. retention with constraints

  • Run experiments and summarise outcomes

Governance

Operators stay in full control

Define behaviour, permissions, approvals, and compliance with complete visibility into every step.

Control layers

We implement governance that matches regulated environments so agents are safe, predictable, and auditable.

Role-based access control (RBAC)
Tool allow-lists + scoped credentials
Policy prompts for AML / RG / compliance
Human-in-the-loop approvals
Redaction + data minimisation
Full audit logs + replay
Approval example
Agent drafts Case summary, customer comms, or promo plan
Policy checks RG/AML prompts, restrictions, and required disclosures
Reviewer approves Human signs off before sensitive actions
Agent executes Runs action via approved tools and logs everything

What's included

An implementation that's tailored to your tooling, policies and operating procedures.

Agent design workshops (objectives + KPIs)
Tooling integration + permissions model
Playbooks + templates per department
Monitoring, evaluation and continuous tuning
Security review + deployment support

Designed for compliance teams

Audit-ready logs, configurable policies, and clear ownership — so compliance and ops can trust system.

Policies → Tools → Execution
Deployment

Integrates into your operator stack

Connect to your existing vendors, APIs and workflows then expand from one agent to many.

Typical integration points

APIs, data sources, and operational systems across sportsbook and iGaming. We integrate rather than rip-and-replace.

MarTech/CRM
Payments ledger
Risk engine
KYC / AML vendor
RG tooling
Promo engine
Implementation approach (example)
Week 1 Identify high-impact workflow + success metrics + policies
Week 2 Integrate tools/APIs + permissions + sandbox
Week 3 QA, red-team, compliance review, go-live
Week 4 Measure impact, expand to adjacent workflows

What you control (always)

You define permissions, policies, tone, approvals, and the exact actions each agent can execute.

Tool access + permissions
Action approval thresholds
Copy, tone and templates
RG/AML policy prompts
Escalation + handoff logic

Works alongside your team

Agents support humans: they handle the heavy lifting, while teams review, approve, and steer outcomes.

Humans → Agents → Outcomes
Commercial outcomes

Designed for measurable operational impact

Reduce operational load, improves response times, increase compliance throughput, optimise commercial performance and reduce human reliance and resource levels

50%+

Case handling time

35-50%

Compliance throughput

20%+

Campaign efficiency

Metrics shown are indicative and depend on operator configuration, audience and deployment scope.

FAQ

Answers for operators, tech and compliance

Common questions about deploying AI agents in your sportsbook or gaming operation.

Where can Agents be deployed?
Agents can be developed and deployed across the complete Sportsbook stack – there are few limitations to what an agentic approach can achieve and optimise.
What does the operator control?
Everything that matters: allowed tools and data, action permissions, tone and messaging rules, approval steps, limits, RG/AML policy prompts, and which workflows the agent can run.
How do you keep agents safe in regulated environments?
We implement layered controls: role-based access, tool allow-lists, policy checks, redaction, human-in-the-loop approvals, rate limits, and full audit logs for every decision and action.
How quickly can we deploy?
We typically start with one high-impact agent (e.g., CS deflection or AML triage) and expand. Timelines depend on tooling and data access, but initial scoped deployments are commonly measured in weeks.
Ready to drive a step-change in productivity?

Launch one agent — then scale across departments.

Align on objectives, policies and tools, launch quickly, then expand across Customer Service, AML, Responsible Gambling, Marketing and Bonus Operations.

What happens next

  • Establish objectives
  • Scope + surfaces
  • Launch plan
  • Uplift measurement