Announcing Dome Managed Agents.

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AI merchandising and pricing agents

Give your buyers agents that plan inside their own categories. Three agents for assortment plans, competitive pricing and vendor negotiations. The ones buyers call act as that buyer and see only the categories they own. No agent commits budget or sets a price below the margin floor.

Any tool, any model,any use case.

Our example demonstrates three agents for your buying and pricing 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.

Draft assortment plans

Builds store-cluster assortments from sell-through and open-to-buy, and saves them as draft plans. The buyer commits.

Tools
Blue YonderSAP S/4HANA
Model
Claude Opus 5.5or any approved provider
Runs
Chat, at line review
Limits
Acts as the buyerOwn categories onlyCannot commit OTB

Tuned for your team

  • Your store clusters and planning calendar
  • Category ownership as your buying org assigns it

Enforce category ownership,margin floors and budgets in one place.

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

Category

agent assort-planner · acting as r.whitaker
blue-yonder/get_open_to_buy(category: "womens-denim", season: "FA26")
  1. Agentassort-planner is registered and active
  2. Callerr.whitaker verified through Okta
  3. Toolget_open_to_buy is granted on merch-tools
  4. Ruler.whitaker owns womens-denim
DecisionAllowed

Show finance every plan and pricean agent drafted.

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

Price and plan insidethe rules that already apply.

Merchandising agents touch prices, budgets and vendor terms. These are the rules that reach them.
Price and plan inside
RegulationWhat it asksWhat Dome gives you
Antitrust and algorithmic pricing
What it asks
The DOJ has pursued pricing software that pools competitors' nonpublic data. You need to show where a price came from.
What Dome gives you
The price watcher reads competitor prices only through tools you register, and every call is logged. You can show exactly what data each draft price drew on.
FTC Act, Section 5
What it asks
Price claims, including reference and compare-at prices, can't mislead customers.
What Dome gives you
Price changes stay drafts until an analyst publishes them, and a draft below the category's margin floor is refused.
SOX internal controls
What it asks
For public retailers, budget commitments and vendor costs reach financial records and need authorization.
What Dome gives you
The planner can't commit open-to-buy, and vendor bank details are stripped before a model sees a record.

Common questionsabout agents in retail.

How is AI used in merchandising?
Drafting assortment plans, matching competitor prices and preparing vendor negotiation briefs. Buyers keep the commitments: budget, final prices and terms.
Can AI set retail prices?
It can draft them. On Dome, a rule refuses any draft that drops below the category's margin floor, and analysts publish.
What is the legal risk in AI price optimization?
Regulators have focused on pricing tools that pool competitors' nonpublic data. Dome records what every pricing agent read, so you can show where each price came from.
How do you limit a buyer's AI agent to their own categories?
The agent acts as the buyer who asked. A rule checks the category in each request against that buyer's categories and refuses the rest.

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 retail solutionsand other industries.

Industry

Retail

Order lookups, replenishment and product copy. Refunds, orders and publishing stay with your people.

Retail

E-commerce

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

Retail

Store operations

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

Retail

Supply chain & fulfillment

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

Other industries

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.