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AI agents for fintech and financial services

AI agents for fintech that clear KYC, fraud, and reconciliation work inside your own systems

Gaper builds and deploys production AI agents for fintech and financial services teams, running KYC/KYB, fraud triage, reconciliation, and compliance reporting in your cloud with a full audit trail. Every action that touches money waits for a human to approve it.

Map the workflowBuild the supervised agentSandbox, verify, go live
In one sentence

AI agents for fintech are software agents that run financial operations and compliance workflows like KYC/KYB, AML and fraud alert triage, transaction reconciliation, and dispute handling end to end, with guardrails, an audit trail, and human approval required before any action moves money.

Your VPCAgents deploy in your cloud or VPC, not a shared multi-tenant box
100%Money-moving actions gated behind human approval
Model-agnosticOpenAI, Claude, Gemini, or open models, swapped as they improve
You own itClient owns the agent code, evals, and audit trail
Why this matters

Fintech ops and compliance teams drown in queue work: KYC reviews, AML alert backlogs, transaction breaks, dispute filings, and regulatory reports that all require pulling data from five systems and applying rules by hand. Point-SaaS tools cover one slice each and leave the glue work, judgment, and audit burden on your analysts. Generic AI demos look impressive but never touch your ledger, your KYC vendor, or your case management system, so the actual workload never moves.

Production filter
  • Does it touch real systems?
  • Can the outcome be measured?
  • Where does human approval stay?
  • Who owns it after launch?
Free AI assessment

Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    We start from the documents, systems, and edge cases your team handles today, then turn the repeatable path into an agent workflow map.

  2. 02

    Build the supervised agent

    We build on the right model for the job, with retrieval, evals, guardrails, and human approval gates where the work carries risk.

  3. 03

    Connect your systems

    The agent gets the data, APIs, and write-backs it needs to finish work inside your systems of record, not beside them.

  4. 04

    Sandbox, verify, go live

    We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.

What we build

Agents wired into the systems you already run.

KYC/KYB and onboarding review

Agents pull identity, business registry, and document data, run your verification logic, summarize the case, and flag the edge cases for a human reviewer. They cut clear-path onboarding time without removing the analyst from borderline decisions.

AML and fraud alert triage

Agents enrich each alert with transaction history, counterparty data, and prior cases, then draft a disposition with cited evidence. Analysts approve, escalate, or file a SAR; the agent never auto-closes or auto-files on its own.

Transaction reconciliation

Agents match ledger entries against processor, bank, and Plaid feeds, explain each break in plain language, and propose the correcting entry. Anything that posts to the ledger goes through a human approval step first.

Dispute and chargeback handling

Agents assemble evidence packets from Stripe and your records, draft the representment, and track deadlines across the card network windows. The agent prepares; a person decides whether to submit.

Compliance reporting

Agents compile recurring regulatory and internal reports from source systems, reconcile the numbers, and leave a traceable record of every input. Reviewers see exactly where each figure came from before sign-off.

Evals, guardrails, and audit trail

Every agent ships with evals tied to your acceptance criteria, guardrails on risky actions, a named human approver, and a full audit log of inputs, reasoning, and outputs. You own the code and can read every decision after the fact.

Deployed in your cloud, with money moves gated by a human

Financial workloads carry real liability, so the deployment model matters as much as the model. Gaper runs agents inside your cloud or VPC, against your real systems, and gates every action that moves money or files with a regulator behind explicit human approval. Nothing posts to the ledger, closes an alert, or submits a dispute without a person signing off.

  • Runs in your cloud or VPC, no customer data on shared infrastructure
  • Human approval required before any money-moving or filing action
  • Full audit trail of every input, decision, and output
Control room
approval queue3 cases need human sign-off

Low confidence, policy exception, or protected data.

01Source checked02Risk scored03Human approved04Audit trail saved

Where fintech point-SaaS stops

Vertical SaaS tools each solve one piece: a KYC vendor, a fraud scoring engine, a reconciliation product. They do that piece well, then hand the integration, judgment calls, and cross-system glue back to your team. Gaper builds agents that operate across those tools and your own systems, doing the connective work the products leave behind. When a product is genuinely the right answer for a workflow, we will tell you to buy it rather than build around it.

  • Point tools cover one workflow; agents span the chain across systems
  • Agents call your existing vendors instead of replacing them
  • Honest guidance when buying a product beats building an agent
Build vs. buy
Buy

Use a product when the workflow is standard and the data path is simple.

Fast startLess control
Build

Build when integration, compliance, or differentiation decide the outcome.

Your stackYour code

Model-agnostic, with an owner and evals from day one

Gaper is model-agnostic and picks the model per workflow, swapping OpenAI, Claude, Gemini, or open models as the economics and accuracy shift. Each agent ships with evals tied to your acceptance criteria, a named human owner, and guardrails on risky steps. This is implementation work, not staffing: you get production agents and the code, not contractors or seat-based access.

  • Model choice tuned per workflow and swapped as models improve
  • Evals and guardrails wired in before launch, not bolted on later
  • An accountable owner per agent and code you keep
Handover state
handoff packageCode, runbook, evals, dashboard
owned by your team
Source repoRunbookEval suiteOwner training

Access your auth

Data your environment

Ops monitor or handoff

Model and stack agnostic
PlaidStripeUnitSnowflakeSalesforcePostgresOpenAIClaude
FAQ

Questions buyers ask us.

What are AI agents for fintech?+
AI agents for fintech are software agents that run financial operations and compliance workflows end to end, including KYC/KYB, AML and fraud alert triage, transaction reconciliation, dispute handling, and compliance reporting. They pull data from your existing systems, apply your logic, and produce a reviewable output. In a responsible setup they run with guardrails, a full audit trail, and human approval before any action that moves money or files with a regulator.
Where do the agents run, and is our data safe?+
Agents deploy inside your own cloud or VPC and operate against your real systems, so customer and transaction data does not sit on shared infrastructure. Every input, decision, and output is logged in an audit trail you control, and you own the agent code.
Can an agent move money or close an alert on its own?+
No. Any action that moves money, posts to the ledger, files a SAR, or submits a dispute is gated behind explicit human approval. Agents do the assembly, enrichment, and drafting; a named person makes the final call and the decision is logged.
How is this different from the fintech SaaS tools we already use?+
Point-SaaS tools each cover one workflow well and then hand integration, judgment, and cross-system glue back to your team. Gaper builds agents that operate across those tools and your own systems to carry the full workflow, and we call those existing products from the agent rather than replacing them. If a product is the right answer for a given task, we will say so.
Which AI models do you use?+
Gaper is model-agnostic and selects the model per workflow across OpenAI, Claude, Gemini, and open models, swapping them as accuracy and cost change. Models are graded against evals tied to your acceptance criteria so the choice is based on measured results, not vendor preference.
Is Gaper a staffing or recruiting firm?+
No. Gaper is an implementation partner that builds and deploys production AI agents into your systems. You receive working agents, evals, guardrails, an audit trail, and the code itself, not contractors, recruiters, or staff augmentation.
Production AI agents, shipped with an owner

Ready to deploy your first agent?

Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.

Build, deploy, runYour cloudYou own the code