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.
Governing Finance Agents
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.
Examples for Fintech
More from the library · Fintech
Also in the library
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
Model
Runs
Limits
Tuned for your team
- Your fee schedule and goodwill policy
- Reversal limits set per team by support leads
Applying Controls to Agents
Cap reversals, KYC decisions and 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
- Agentapp-support is registered and active
- Callera.pryor verified through Okta
- Toolreverse_fee is granted on app-tools
- Rule$15 is under the $35 limit for tier-1 specialists
Comprehensive Audit
Show your partner bank every 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.
- app-support09:12:44
| Timestamp | Type | Agent | Acting as | Resource | Outcome | Latency |
|---|---|---|---|---|---|---|
| 09:12:44.806 | ||||||
Regulation
Answer your partner bank and 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.
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.
FAQ
Common questions
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.
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 finance solutions
Industry
Finance
KYC reviews, client servicing and SAR narratives. Approvals, money movement and filings stay with your people.
See the agentsFinance
Banking & lending
Credit memos, mortgage file checks and adverse action notices. Risk ratings and credit decisions stay with your people.
See the agentsFinance
Payments & spend management
Disputes, card spend and vendor payments. Refunds stay capped, and payments are released by your people.
See the agentsFinance
Wealth & asset management
Client reviews, rebalancing and client communications. Agents see only the advisor's own households.
See the agentsFinance
Capital markets & digital assets
Morning notes, pre-trade checks and digital asset transfers. Agents never route orders or approve transfers.
See the agentsOther 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.
Agentic use cases
- Answer player questionsLooks 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 signalsReviews players flagged for risky play and drafts case notes for the responsible gaming team. It never changes a limit.
- Configure bonusesSets 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 regulations
- Bank 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.
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