AI agents for banks and lenders
Any tool, any model,any use case.
Draft credit memos
Spreads the borrower's financials, pulls deposit history and drafts the credit memo in the banker's name. Credit approves it.
- Tools
- nCinoFIS
- Model
- Claude Opus 5.5or any approved provider
- Runs
- When a deal moves to underwriting
- Limits
- Acts as the bankerDrafts onlyCannot set risk ratings
Tuned for your team
- Your credit policy and memo template
- Covenant and ratio thresholds by loan type
Enforce risk ratings, credit pullsand customer data in one place.
Call
- Agentcredit-memo is registered and active
- Callerg.whitfield verified through Entra ID
- Toolsave_memo_draft is granted on lending-tools
- Ruleg.whitfield is the relationship manager on this deal
Show examiners every credit pulland draft an agent made.
| Timestamp | Type | Agent | Acting as | Resource | Outcome | Latency |
|---|---|---|---|---|---|---|
Show fair lending and model risk teamswhat agents did.
| Regulation | What it asks | What Dome gives you |
|---|---|---|
ECOA and Regulation B | What it asks An applicant who's denied gets the specific principal reasons, however the decision was made. | What Dome gives you The adverse action agent drafts the notice from the reasons recorded in the decision. It can't send the notice or change the decision. |
FCRA | What it asks Consumer reports can be pulled only for a permissible purpose, and a denial based on one needs its own notice. | What Dome gives you A rule lets the agent order a credit report only for a borrower on the loan file it's working. Any other pull is refused and recorded. |
SR 11-7 model risk management | What it asks Banks inventory their models, validate them and govern how they're used, including vendor models. | What Dome gives you Each agent reaches only approved models through Dome. Every model call is recorded, which gives validation teams the usage record by agent. |
Common questionsabout agents in finance.
Spend 30 minuteswith our FDE team.
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.
Other 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
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
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
AI agents for law firms
Conflicts checks, clause extraction and redlines. Every agent acts as the lawyer who asked.
Check new matters for conflicts
Searches Intapp and past matters in iManage for parties that conflict with a proposed engagement. It reports. It never clears a conflict.
Extract clauses from contracts
Pulls 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 playbook
Marks up a counterparty draft against your playbook and saves it as a new version. Counsel reviews it and sends it.
Answers to
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
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
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.