Announcing Dome Managed Agents.

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AI agents for fintech

Give your support team agents your partner bank can audit. Three agents for app support, onboarding reviews and payment disputes. The ones specialists call act as that specialist, fee reversals stay inside your limit, and no agent approves an applicant or moves funds. Every call lands in one audit record.

Any tool, any model,any use case.

Our example demonstrates three agents for your support, onboarding and disputes 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.

Resolve app support tickets

Reads the ticket and the customer's account activity, drafts the reply, and reverses fees up to the specialist's limit. Anything bigger stays with the specialist.

Tools
ZendeskUnit
Model
Claude Sonnet 5or any approved provider
Runs
Sidebar, in Zendesk
Limits
Acts as the specialistReversal cappedAccount data redacted

Tuned for your team

  • Your fee schedule and goodwill policy
  • Reversal limits set per team by support leads

Cap reversals, KYC decisionsand customer data in one place.

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

Reversal

agent app-support · acting as a.pryor
unit/reverse_fee(account: "AC-310582", amount: 15.00)
  1. Agentapp-support is registered and active
  2. Callera.pryor verified through Okta
  3. Toolreverse_fee is granted on app-tools
  4. Rule$15 is under the $35 limit for tier-1 specialists
DecisionAllowed

Show your partner bankevery call an agent made.

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.
Audit · app-tools
Events 0Denied 0
0 audit events

Answer your partner bankand the CFPB from one record.

Support, onboarding and dispute agents touch customer accounts, identity data and money movement. These are the rules that reach them.
Answer your partner bank
RegulationWhat it asksWhat Dome gives you
Regulation E (EFTA)
What it asks
Investigate reported errors on electronic transfers within set deadlines, and give provisional credit when the investigation runs long.
What Dome gives you
The dispute agent drafts the investigation notes and the customer notice on the case. Issuing credit stays with the specialist, and every draft is recorded.
CFPB UDAAP
What it asks
Customer interactions can't be unfair, deceptive or abusive.
What Dome gives you
Fee reversals run under a cap set per team, so every customer gets the same treatment. Each reply draft and reversal is in the audit record.
Interagency third-party risk guidance
What it asks
Banks must oversee the fintechs they partner with, including the controls on activities performed for the bank.
What Dome gives you
Your partner bank gets evidence instead of a questionnaire: which agent read which account, for whom, and what was refused.

Common questionsabout agents in finance.

What can AI agents do at a fintech?
Resolving app tickets, triaging onboarding reviews and drafting dispute responses are common first agents. On Dome each runs inside limits: capped reversals, read-only reviews and no money movement.
Can an AI agent reverse a fee?
Up to a limit you set. A rule checks the amount on every call, and anything over the cap is refused and recorded.
Can an AI agent approve a KYC application?
Not on this setup. The agent summarizes the manual-review evidence in Alloy. Approving or declining stays with your compliance team, and the agent's approve call is refused.
How do you show a partner bank what your AI agents did?
Route every agent's tool calls through one gateway and share the audit record. It names the agent, the specialist it acted for, the system and the decision.

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 finance solutionsand other industries.

Industry

Finance

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

Finance

Banking & lending

Credit memos, mortgage file checks and adverse action notices. Risk ratings and credit decisions stay with your people.

Finance

Payments & spend management

Disputes, card spend and vendor payments. Refunds stay capped, and payments are released by your people.

Finance

Wealth & asset management

Client reviews, rebalancing and client communications. Agents see only the advisor's own households.

Finance

Capital markets & digital assets

Morning notes, pre-trade checks and digital asset transfers. Agents never route orders or approve transfers.

Other industries

All industries

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 retail

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

  • Answer order questions

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

  • Plan replenishment

    Forecasts demand by store and drafts purchase orders against par levels. Buyers review them and send them.

  • Write product copy

    Writes product titles and descriptions from supplier data, in your voice, and saves them as drafts. Merchandisers publish.

Answers to

PCI DSS v4.0.1State privacy laws (CCPA/CPRA)SOX internal controlsFTC Act, Section 5Antitrust and algorithmic pricingPredictive scheduling lawsRouting 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.

  • 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.