FinTech operations

Ship your first regulated AI ops workflow without losing control.

Deploy AI for fraud, disputes, and payment exceptions. Verdict checks risky actions before they touch money, customer data, or regulated records.

Built for heads of operations who need AI in production without slowing compliance and risk.

Map your workflow in 30 min Try the playground

No deck required. Bring one workflow and your owners.

This is what your risk team sees for each action the agent attempts.

From the case queue

Checked before it hits your systems

Refunds, filings, and sensitive lookups: the same view ops and risk need when volume goes live.

Fraud agent

triage_case(FRD-1287)

Prioritize case against recent dispute patterns

ALLOW

Why this outcome

Action within role scope and within risk band.

Logged for review: policy version, tamper-evident record

ALLOW

REQUIRE_CHANGES

DENY

Same three outcomes for every case action: proceed, fix and retry, or block, so pilots don't skip straight to live money movement.

Why agent pilots stall

Prototypes are fast. Production slows at handoffs.

Teams can demo fast. Progress slows when real money, customer data, and compliance steps enter the flow.

Where teams get stuck

Refunds, transfers, and fee reversals (money movement)
PII and regulated customer data
Regulatory disclosures and consent
Escalations and case handoffs
Explanations risk and compliance can stand behind

Verdict's job: take one messy workflow and make it production-safe, with clear controls and evidence.

Workflow you can ship

Example: payment dispute and duplicate-charge flows

Not a product tour. This is a real workflow pattern teams run in production. The same model extends to fraud triage and other exceptions.

Before

Customer: “I was charged twice.”

Agent: “I will file a dispute.”

Risk: no diagnosis, unclear consent, weak evidence, no approval trail

With Verdict

Gather transaction and identity context first
Run diagnosis before action, with disclosure when policy requires it
Gate refunds and chargebacks with threshold and approver rules
Route high-value steps to human review when required
Log each decision with policy version and signed evidence

What a governed workflow delivers

Clear outcomes for your first review. Bring engineering, operations, and GRC into one decision.

1 workflow

Start bounded: dispute, fraud triage, or payment exception

Approvals

Money, PII, and high-impact steps route to people when required

Evidence

Audit- and second-line–ready records from the first pilot

Your stack

Fits case, payment, and risk systems without replatforming

Need technical depth? See How it works.

Market reality

Production in FinTech is a controls problem first. The model is secondary.

Verdict records what the agent tried, what policy allowed, and why, next to the case and payment systems your team already runs.

Where good programs align

Control before execution: Decide on the real action before it runs, not only on chat output.
Rules you can change with process: Update policy and replay on past traffic before you tighten customer impact.
Gradual rollout: Observe on live volume, then enforce when risk and ops are ready.

What still slows reviews

What actually ran: Reviewers need the concrete step the agent tried, not intent narrative alone.
When visibility is late: Catching issues only in a weekly report makes money and PII workflows harder to manage.
A fileable trail: Consent, approvals, and policy version in one place for second line.

How platform and GRC teams describe the same thingPolicy gateway, OPA, tool-call path, and shadow mode. Expand if you want the technical terms.

Converging

Action-level enforcement: Synchronous decisions on instrumented calls, not just content filters on language.
Policy-as-code with lineage: Rego/OPA under change control; replay before promotion.
Shadow on real traffic: Log three outcomes before you tighten customer-facing policy.

Review focus

Tool-level clarity: What would have executed, alongside any high-level checks.
Timing of control: After a refund or credential move, teams have less room to correct quickly.
Evidence depth: Versioned policy, consent, approvals, and signed chains.

How it works for the full mechanism.

Evaluation starts in the live product

Start with the flow, then the playground, then a focused session with your owners.

How it works
See the exact control flow in plain language.
Read flow
Playground
Try scenarios with three outcomes and approval steps.
Open
Session
Align owners, scope, and evidence in one working session.
Map a workflow

Deployment paths

Start by shipping a workflow with us, then scale

Most teams start with Route B: co-build one governed workflow, then expand. If you already run agents, use Route A and add Verdict to your existing stack.

Route B

Verdict-built FinTech agents

Best fit

No production agent yet. We co-build your first fraud, dispute, or exception workflow on Verdict.

Policy, approvals, and evidence are built in from day one, then we run the control layer with you.

Typical rollout

Phase 1: map one workflow to your SOPs and systems
Phase 2: run a governed pilot on real case patterns
Phase 3: shadow on live traces and move to production readiness

How delivery works

What you get with a delivered workflowFinTech delivery with policy packs, approvals, and evidence from day one.

Fraud operations, payment disputes, and card-issuing workloads on one enforcement surface
Your team operates with full control day-to-day; core workflow agent IP remains with Verdict under agreed terms
Workflow policy packs, compliance harness, and signed evidence built in from day one

Route A

Bring your own agent

Best fit

You already run agents and want control before high-risk actions without replatforming.

Add Verdict at the action boundary. Start in shadow mode, then enforce.

How BYO works

What you get when you bring your own agentSDKs, synchronous decisions, policy updates, and shadow-to-enforce rollout.

Synchronous policy check before every side-effecting action
TypeScript and Python SDKs with AutonomousEnforcer execution loop
Shadow mode, then hard enforcement, without redeploying the agent

Depth-first scenarios

Fraud and disputes: where SLAs and write-offs show the pressure

One gateway and evidence model. Pick a tab; issuing plugs in when you expand.

Reduce manual fraud workload without skipping approvals or audit

Case volume, escalation quality, and review cost drive the week. Agent-assisted triage can move faster when every side-effecting tool call is evaluated in policy first.

Enforce role scopes, reversible limits, and escalation paths in Rego policy with reviewable bundles and change control
Route high-impact actions to manager or second-line approval deterministically
Signed evidence per decision: policy version, inputs, outcome, repairs

All use cases

Example decision payload

Sample gateway response (JSON)Illustrative REQUIRE_CHANGES on a fraud escalation: obligations fire before the tool runs. Expand for sample JSON.

{
  "action": "escalate_case",
  "arguments": { "case_id": "FRD-1287", "severity": "high" },
  "decision": "REQUIRE_CHANGES",
  "obligations": ["approval:fraud_manager","log_escalation_reason"],
  "audit": {
    "policy_version": "v42",
    "input_hash": "0x3bf1...e0c",
    "timestamp": "2026-04-22T18:31Z"
  }
}

Illustrative only. Field names and shapes follow your tool schema and policy bundle.

Card issuing and program controls use the same enforcement and evidence model. Mention it when you book if that is your first workflow.

FAQ

What ops, GRC, and security ask first

Short answers for first review. Bring your edge cases to a working session.

Map a workflow

Do we have to replace our agent framework?

No. Verdict is framework-agnostic. You integrate at the tool-call boundary without rebuilding orchestration.

What if we do not have an agent yet?

We can deliver bounded FinTech workflows on the same control plane you see in the playground (fraud, disputes, or issuing) so policy and evidence stay one model end to end.

Can humans stay in control of critical decisions?

Yes. High-impact actions can require approvals and reviewer checkpoints, with routing that is deterministic and recorded.

How do we support audit and regulatory review?

Signed, policy-version-pinned records are built for retrieval in GRC workflows. Your counsel sets the bar; Verdict supplies tamper-evident artifacts and traceable policy versions.

How is this different from guardrails or observability tools?

Many tools focus on model output or post-hoc logs. Verdict evaluates side-effecting tool calls before they run and returns structured repairs when policy requires changes.

What happens after the first call?

You leave with a clear map of where enforcement attaches, who owns policy changes, and what your second and third lines need for evidence. Next steps depend on fit and production timing; we work with a focused set of design partners.

We do not have production agents yet. Is Verdict still relevant?

Yes. Start with one governed fraud, dispute, or payment workflow, prove outcome and safety, then expand. Agents can grow inside the same enforcement and evidence model when you are ready.

What should we cover in a working session?

Handoffs in your org, production approvers, appetite for shadow on real traffic, and the single workflow you would trust first. When you want to go deeper, introductions to your Head of Disputes, fraud ops lead, or AI platform owner are the strongest signal.

How does this relate to EU AI Act or internal model-risk programs?

High-impact automation benefits from accountable controls: oversight where required, technical documentation, and traceability from decision to policy. Verdict supplies pre-execution outcomes, versioned policy, and evidence program leads can inspect. Legal interpretation stays with your counsel.

What proof do you provide in procurement and security review?

Architecture walkthrough, SDK integration points, sample evidence exports, and targeted code review under NDA when your process requires it. SOC 2, pen-test summaries, and a trust center are on our enterprise roadmap. Tell us what your checklist requires and we will prioritize it.

Map one workflow and ship it with control

Share a redacted SOP, try the demo, or book 30-45 minutes with the owners of this flow.

Map a workflow Open playground