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Guardyx AI

Guardyx for Finance Workflows

Let finance agents move fast, just not with the wrong money.

The scenario

AI agents are quietly running a lot of finance ops today. They issue refunds, approve invoices, move funds between accounts, reconcile ledgers, and kick off payouts. Often, nobody reviews each transaction.

Approval requested

Held for a human before it runs.

High riskPending
Agent
Finance Bot
Tool
QUICKBOOKS_CREATE_BILL_PAYMENT

Arguments

{
  "payee": "Northwind Supply (new)",
  "amount": 48000.00,
  "currency": "USD"
}

Policy

A brand-new payee: approval required.

What can go wrong

In finance, a wrong move is money out the door. An agent misreads a request and issues a refund to the wrong account. It waves through a duplicate or fraudulent invoice. It starts a transfer that quietly breaks an internal control or a regulatory limit. Any one of those is a real loss, a control failure, and (if you’re regulated) something you have to report. Now multiply that by the volume an agent handles. That’s why this keeps people up at night.

Who owns this problem

Your CFO owns the controls at stake. Your Head of Finance Ops runs the day-to-day process. Your CISO has to be able to say that no automated system moves money outside policy.

What it looks like deployed

Guardyx sits in front of every financial action your agents take. The small, in-policy stuff (a refund within limits, a pre-approved vendor payment) just goes. Anything that crosses a line (a big amount, a brand-new payee, a pattern that looks off) gets held and sent to a human before it happens. Everything, approved or blocked, gets written down.

Finance agent calls a tool. Guardyx checks the action against your policy before it runs: in-policy actions execute payment against payment & ledger systems; exceptions hold for approval. Either way the decision is recorded.
The Guardyx AI approvals queue: agent tool calls held for a human, each tagged with its risk and the agent that made it, waiting for a decision before they run.
Where held actions wait: each one with its risk, its agent, and the call it tried to make.

What you're covering

You get a rock-solid guarantee that no agent moves money outside your rules. Your team doesn’t have to babysit every transaction. Guardyx does the triage, so people only see the calls that actually need a human; everything else is safe by default and fully logged.

How it fits your existing tools

Approvals show up in the Guardyx portal, Slack, or email, wherever your team already works. Every decision, approved or blocked, is captured as an auditor-ready evidence pack you can export. You set the policies and thresholds. Exceptions are handled gracefully, so real work doesn’t get stuck and nobody’s fighting false alarms all day.

An approval's detail panel in Guardyx AI, showing the held request and the agent's stated reason for it, marked unverified.
The approver sees the agent, the call, and the agent's own reason for it, marked unverified.
The Guardyx AI Runs Explorer with agent work grouped by MCP session: each session's agent, calls, apps, time span and outcome, such as a call awaiting approval or a failure.
Every decision lands in the run record you export as evidence.

Example controls

A quick, plain-language picture of the policy decisions you'd set:

Allow
A routine refund below your threshold to an existing customer.
Hold for a human
A high-value refund, a brand-new payee, an unusual transfer, or any policy exception.
Deny
A prohibited destination, a disallowed account, or anything outside the agent’s authorized scope.

Without Guardyx / With Guardyx

  • Without: A bad refund or payment shows up after the money’s already gone.

    With Guardyx: Out-of-policy payments are held before they execute.

  • Without: You either trust every transaction or hand-review them all.

    With Guardyx: Routine payments flow; only the risky ones need a human.

  • Without: Reconstructing what happened means digging through logs.

    With Guardyx: Every allow / hold / deny is recorded and audit-ready.

Batch review in Guardyx AI: several low-risk actions selected together, so routine calls are cleared in one move while the risky ones wait for individual review.
The routine clears in one move; only the risky calls wait for a person.
See all seven use cases

A safety net under every finance action.

High-value refunds, brand-new payees, and unusual transfers: held for a human before any money moves.