Announcing Dome Managed Agents.

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AI agents for retail

Give your associates agents that stay inside every limit you set. Three agents for order lookups, replenishment and product copy. The ones associates call act as that associate, and none of them can refund, submit or publish on their own. Every call lands in one audit record.

Retail agentsfor every team.

E-commerce

Customer tickets, promotions and fraud screening. Credits and discounts stay inside your limits.

Merchandising & planning

Assortment plans, competitive pricing and vendor briefs. Buyers see only their own categories.

Store operations

Schedules, store walks and shrink review. Each manager's agent sees only that manager's store.

Supply chain & fulfillment

Fulfillment exceptions, load tendering and inbound audits. Carriers, sites and chargebacks stay inside your rules.

Any tool, any model,any use case.

Our example demonstrates three agents for your store and e-commerce 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.

Answer order questions

Looks up orders, shipments and returns so an associate can answer a customer fast. It reads. Refunds stay with the associate.

Tools
ShopifyZendesk
Model
Claude Sonnet 5or any approved provider
Runs
Chat, in Zendesk
Limits
Acts as the associateRead-onlyCard data redacted

Tuned for your team

  • Your return and exchange policy
  • Order statuses as your fulfillment flow names them

Enforce refunds,card data and spend limits in one place.

Dome sits between the agents and your systems. Every call is checked against rules your team writes before it reaches Shopify, NetSuite or a model.

Call

agent order-assistant · acting as d.mercer
shopify/get_order(order: "#48213")
  1. Agentorder-assistant is registered and active
  2. Callerd.mercer verified through Okta
  3. Toolget_order is granted on retail-tools
  4. RuleOrder reads are allowed
DecisionAllowed

Show finance exactly whatan agent changed and spent.

One record for every call: the agent, the associate it acted for, the system, and the decision. Enable investigations, increase confidence and reduce risk in agentic operations.
Audit · retail-tools
Events 0Denied 0
0 audit events

Answer PCI DSS and your auditorsfrom one record.

Retail agents touch card data, customer records and spend. These are the rules that reach them, and what the controls above give you for each.
Answer PCI DSS and your auditors
RegulationWhat it asksWhat Dome gives you
PCI DSS v4.0.1
What it asks
Systems that store, process or transmit cardholder data are in scope. The PCI Security Standards Council's AI guidance treats AI systems the same way.
What Dome gives you
A guard strips card numbers from tickets and orders before any model sees them. Every tool call is logged with the agent and the associate it acted for.
State privacy laws (CCPA/CPRA)
What it asks
Customers can ask what you hold about them. Personal data should be used only for the purpose it was collected for.
What Dome gives you
Addresses and contact details are redacted before a model call, and the audit record shows which agent read which system, for whom.
SOX internal controls
What it asks
For public retailers, changes that reach financial records need authorization and a trail. Purchase orders and refunds count.
What Dome gives you
Agents draft purchase orders under a cap and can't submit them or issue refunds. Every refused attempt is in the audit record.

Common questionsabout agents in retail.

Are AI agents in scope for PCI DSS?
If an agent can see cardholder data, the systems it runs through are in scope. The simpler path is to keep card data away from the agent: redact it at the gateway before any model call, and log every call. Dome does both in the path of the call.
How do you keep card data out of LLM prompts?
A guard on the gateway inspects each tool response and strips card numbers before the agent or model sees them. The agent still gets the order, the status and the history it needs.
Can an AI agent issue refunds or discounts?
Only if a rule allows it. Dome checks every call against rules on the agent, the person it acts for and the arguments, so a refund can be refused outright or capped at an amount.
How do you audit what an AI agent changed in Shopify or NetSuite?
Route its tool calls through a Dome gateway. Every call lands in one audit record: the agent, who it acted for, the tool, the system and the decision. Refused calls are recorded too.
How are AI agents used in retail?
Common first agents answer order questions, draft replenishment and write product copy. Each one reads or drafts, and people keep refunds, orders and publishing.

Spend 30 minuteswith our FDE team.

See the platform and how it fits 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.

Other industriesDome works in.

All industries

AI agents for financial services

KYC reviews, client servicing and SAR narratives. Approvals, money movement and filings stay with your people.

  • Review onboarding documents

    Checks identity and entity documents against your CDD requirements, runs sanctions screening and writes the KYC summary. An analyst approves.

  • Answer client requests

    Reads 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 narratives

    Pulls the alert history and transactions for a case and drafts the SAR narrative. An investigator edits it and files.

Answers to

GLBA Safeguards RuleBSA/AML and the FinCEN CDD RuleNYDFS Part 500Regulation E (EFTA)CFPB UDAAPInteragency third-party risk guidanceECOA and Regulation BFCRA+10 more

AI agents for gaming and sports betting

Player support, responsible gaming review and bonus setup. Self-exclusions and limits stay out of an agent's reach.

  • 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.

  • Review responsible gaming signals

    Reviews players flagged for risky play and drafts case notes for the responsible gaming team. It never changes a limit.

  • Configure bonuses

    Sets up deposit matches and free bets from a campaign brief, up to the cap you set. Self-excluded players are never targeted.

Answers to

State gaming regulationsBank Secrecy Act (FinCEN casino rules)Age, identity and location checks

AI agents in healthcare

Prior authorizations, visit notes and eligibility checks. Agents read only the charts their clinician can read.

  • Assemble prior authorizations

    Pulls the notes, orders and imaging a payer asks for into one authorization packet. A clinician reviews it and submits.

  • Draft visit notes

    Drafts 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 visit

    Checks 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 necessaryBusiness associate agreementsHIPAA Security Rule audit controlsCMS 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.

  • Triage new claims

    Reads 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 files

    Summarizes medical records, police reports and correspondence in a claim file for the assigned adjuster. Only claims that adjuster handles.

  • Screen claims for fraud signals

    Checks 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 SystemsUnfair claims settlement practices lawsInsurance data security laws

AI agents for professional services firms

Proposals, staffing and engagement status. Each agent sees only the engagements its consultant works on.

  • Draft proposals

    Reads 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 engagements

    Matches skills and availability to a new engagement's roles and proposes a team. Resource managers make the assignments.

  • Report engagement status

    Reads the project plan and engagement files and drafts the weekly status report. It sees only engagements its consultant is on.

Answers to

Client confidentiality termsAICPA Confidential Client Information RuleSOC 2GDPR and state privacy laws

AI agents for software companies

Escalation triage, incident summaries and release notes. Agents read code and incidents. Shipping stays with engineers.

  • Triage engineering escalations

    Reads an escalated ticket and the code it points to, drafts a diagnosis and sets priority. Fixes stay with the engineer.

  • Summarize incidents

    Follows an incident's timeline and recent deploys, drafts status updates and a first postmortem. It never acknowledges, pages or resolves.

  • Draft release notes

    Reads 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 2ISO/IEC 42001EU AI ActState privacy laws (CCPA/CPRA)

Governance at theagent‑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.

Agent Registry

Make every agent known and manageable. Credentials issued, capabilities declared, lifecycle owned.

MCP Gateway

Evaluate every call against policy with full context. Allow, deny, or escalate. Filter what comes back.

Model Broker

Constrain how the agent reasons. Selection by policy, routing across providers, evals against real traffic.