AI agents for gaming and sports betting
Give your support teams agents that can't lift a player's limits
Three agents for player support, responsible gaming review and bonus setup. The ones specialists call act as that specialist, self-exclusions and limits stay out of reach, and bonuses stay inside the cap. Every call lands in one audit record.
Governing Gaming Agents
Any tool, any model, any use case
Our example demonstrates three agents for your player support and operations work, pulled from our template library. Our team can work with yours to build, govern, and operate your agents as you deliver on your IT strategy.
Examples for Gaming & sports betting
More from the library · Gaming
Also in the library
Answer player questions
Looks up a player's account, bets and withdrawal status so a specialist can answer fast. It reads. Balances and limits stay with people.
Tools
Model
Runs
Limits
Tuned for your team
- Your withdrawal and bonus terms
- Account statuses as your player platform names them
Applying Controls to Agents
Protect limits, bonuses and player identity in one place
Dome sits between the agents and your systems. Every call is checked against rules your team writes before it reaches GAN, Jumio or a model.
Call
- Agentplayer-support is registered and active
- Callerw.dockery verified through Okta
- Toolget_player is granted on player-tools
- RuleAccount reads are allowed
Comprehensive Audit
Show your regulator every player account an agent touched
One record for every call: the agent, the support specialist it acted for, the system, and the decision. Enable investigations, increase confidence and reduce risk in agentic operations.
- rg-reviewer01:47:22
| Timestamp | Type | Agent | Acting as | Resource | Outcome | Latency |
|---|---|---|---|---|---|---|
| 01:47:22.315 | ||||||
Regulation
Show your regulator what every agent did for every player
Support, responsible gaming and promotions agents reach player accounts, limits and identity data. These are the rules that reach them.
State gaming regulations
What it asks
Licensed operators must honor self-exclusion and player limits, and keep records regulators such as New Jersey's Division of Gaming Enforcement can inspect.
What Dome gives you
No agent can remove a self-exclusion or raise a limit. A rule refuses the call, and the refusal lands in the record with the specialist who asked.
Bank Secrecy Act (FinCEN casino rules)
What it asks
Casinos need an anti-money laundering program, and must file currency transaction and suspicious activity reports.
What Dome gives you
Agents read transaction history for review but can't change it. Every read is recorded with who asked, as evidence for your AML program.
Age, identity and location checks
What it asks
Players must be verified as of legal age and inside the state before they wager.
What Dome gives you
Agents can read a verification result but can't override it. A guard strips ID numbers and dates of birth before any model sees them.
FAQ
Common questions
Can an AI agent lift a self-exclusion?
Not on Dome. A rule refuses any call that removes a self-exclusion or raises a limit, whoever the agent acts for, and the attempt is recorded.
How do you cap the bonuses an AI agent can give?
Put a rule on the call's arguments. The promotions agent can create a bonus up to the cap you set, and anything larger is refused before it reaches the player platform.
How do you keep player ID documents out of LLM prompts?
A guard on the gateway strips ID numbers and dates of birth from verification results before the agent or model sees them. Downloading the document itself is refused.
How do you audit AI agents for a gaming regulator?
Route every agent call through a Dome gateway. Each call lands in one record with the agent, the specialist it acted for, the player account and the decision.
How are sportsbooks and casinos using AI agents?
Player support, responsible gaming review and bonus setup are common first agents. Each reads or configures inside limits, and people keep exclusions, limits and payouts.
Forward deployed engineering
Spend 30 minutes with our FDE team to understand the platform, and how it fits to your needs.
Our FDE team can get your first agent under management and work with your platform team to deliver results for your AI program.
Key topics to discuss:
- Review your AI plans, progress to date, and timeline for agentic projects in production.
- Planning a specific agent, or agentic app, to bring under governance.
- Learning more about our platform capabilities, from gateways to routing.
- Defining agentic operations as repeatable golden pathways for Platform and AppDev teams.
Explore
Other industries
AI agents for financial services
KYC reviews, client servicing and SAR narratives. Approvals, money movement and filings stay with your people.
Agentic use cases
- Review onboarding documentsChecks identity and entity documents against your CDD requirements, runs sanctions screening and writes the KYC summary. An analyst approves.
- Answer client requestsReads the client's accounts and open cases and drafts the reply to a servicing request. It never moves money or changes an account.
- Draft SAR narrativesPulls the alert history and transactions for a case and drafts the SAR narrative. An investigator edits it and files.
Answers to
- GLBA Safeguards Rule
- BSA/AML and the FinCEN CDD Rule
- NYDFS Part 500
- Regulation E (EFTA)
- CFPB UDAAP
- Interagency third-party risk guidance
- ECOA and Regulation B
- FCRA
- SR 11-7 model risk management
- PCI DSS v4.0.1
- Regulation E (EFTA) error resolution
- BSA/AML and OFAC sanctions screening
- SEC Regulation S-P (2024 amendments)
- SEC Marketing Rule and FINRA Rule 2210
- Books and records (Rule 204-2 and Rule 17a-4)
- FINRA Rule 3110 and Regulatory Notice 24-09
- SEC Rule 17a-4 recordkeeping
- Exchange Act Section 15(g) information barriers
AI agents in healthcare
Prior authorizations, visit notes and eligibility checks. Agents read only the charts their clinician can read.
Agentic use cases
- Assemble prior authorizationsPulls the notes, orders and imaging a payer asks for into one authorization packet. A clinician reviews it and submits.
- Draft visit notesDrafts a visit note from the encounter and the chart, in the department's template. The clinician edits it and signs it.
- Verify eligibility before the visitChecks coverage for the next day's appointments overnight. Anything that needs a call before the visit goes to the patient access channel.
Answers to
- HIPAA minimum necessary
- Business associate agreements
- HIPAA Security Rule audit controls
- CMS prior authorization rule (CMS-0057-F)
AI agents for insurance claims
Claim intake, file summaries and fraud screening. Agents read only the claims assigned to their adjuster.
Agentic use cases
- Triage new claimsReads each first notice of loss, sets severity and line of business, and routes it to the right adjuster queue. It flags. It never settles.
- Summarize claim filesSummarizes medical records, police reports and correspondence in a claim file for the assigned adjuster. Only claims that adjuster handles.
- Screen claims for fraud signalsChecks each open claim against prior claims history and flags patterns for the special investigations unit. It never denies a claim.
Answers to
- NAIC Model Bulletin on AI Systems
- Unfair claims settlement practices laws
- Insurance data security laws
AI agents for law firms
Conflicts checks, clause extraction and redlines. Every agent acts as the lawyer who asked.
Agentic use cases
- Check new matters for conflictsSearches Intapp and past matters in iManage for parties that conflict with a proposed engagement. It reports. It never clears a conflict.
- Extract clauses from contractsPulls parties, dates, renewal and change-of-control terms from the contracts in a matter workspace. Only in matters the requester is staffed on.
- Draft redlines against the playbookMarks up a counterparty draft against your playbook and saves it as a new version. Counsel reviews it and sends it.
Answers to
- ABA Formal Opinion 512
- Privilege after United States v. Heppner
- Ethical walls (Model Rules 1.7, 1.9, 1.10)
AI agents for professional services firms
Proposals, staffing and engagement status. Each agent sees only the engagements its consultant works on.
Agentic use cases
- Draft proposalsReads an RFP and drafts a response from the firm's reuse library. Client names in past work are stripped before the model sees them.
- Match staff to engagementsMatches skills and availability to a new engagement's roles and proposes a team. Resource managers make the assignments.
- Report engagement statusReads the project plan and engagement files and drafts the weekly status report. It sees only engagements its consultant is on.
Answers to
- Client confidentiality terms
- AICPA Confidential Client Information Rule
- SOC 2
- GDPR and state privacy laws
AI agents for retail
Order lookups, replenishment and product copy. Refunds, orders and publishing stay with your people.
Agentic use cases
- Answer order questionsLooks up orders, shipments and returns so an associate can answer a customer fast. It reads. Refunds stay with the associate.
- Plan replenishmentForecasts demand by store and drafts purchase orders against par levels. Buyers review them and send them.
- Write product copyWrites product titles and descriptions from supplier data, in your voice, and saves them as drafts. Merchandisers publish.
Answers to
- PCI DSS v4.0.1
- State privacy laws (CCPA/CPRA)
- SOX internal controls
- FTC Act, Section 5
- Antitrust and algorithmic pricing
- Predictive scheduling laws
- Routing guides and carrier contracts
AI agents for software companies
Escalation triage, incident summaries and release notes. Agents read code and incidents. Shipping stays with engineers.
Agentic use cases
- Triage engineering escalationsReads an escalated ticket and the code it points to, drafts a diagnosis and sets priority. Fixes stay with the engineer.
- Summarize incidentsFollows an incident's timeline and recent deploys, drafts status updates and a first postmortem. It never acknowledges, pages or resolves.
- Draft release notesReads the pull requests merged since the last release and drafts customer-facing notes. The release stays a draft until an engineer publishes it.
Answers to
- SOC 2
- ISO/IEC 42001
- EU AI Act
- State privacy laws (CCPA/CPRA)
Enabling agent operations
Governance at the agent‑action boundary.
However an agent was built and wherever it runs, the same three boundaries are available to control it: the code it ships as, the tools it calls, and the model it reasons through.
Code
Agent Registry
Make every agent known and manageable. Credentials issued, capabilities declared, lifecycle owned.
See more
Tool
MCP Gateway
Evaluate every call against policy with full context. Allow, deny, or escalate. Filter what comes back.
See more
Model
Model Broker
Constrain how the agent reasons. Selection by policy, routing across providers, evals against real traffic.
See more