GATEKEEPER AI AGENTS
Bank Details Validator Agent.
The Bank Details Validator Agent screens every change against fraud patterns and routes high-risk updates for verification, so your finance team catches problems before they become payments.
HOW IT WORKS
How the Bank Details Validator Agent works.
Change submitted.
A vendor submits a bank detail change through Gatekeeper.
Evaluation.
The agent evaluates the change against configured fraud patterns and risk indicators.
Validation.
Low-risk changes that match expected patterns are validated and processed.
Verification.
High-risk changes (unusual patterns, multiple recent changes, mismatched details) are flagged and routed for human verification.
Logged for audit.
Every evaluation decision, risk signal, and routing action is logged for audit.
Up to 95% faster.
Routine work is completed in a fraction of the time, while keeping your team in control.
FAQ
Frequently asked questions.
What fraud patterns does the agent check?
Configure the Agent around your finance team’s risk indicators, including change frequency, unusual bank details, mismatches with vendor records and custom fraud patterns. Every request is evaluated automatically when submitted, helping identify potential risks before payment.
- Account characteristics
- Change patterns
- Channel verification
- Fraud indicators
Does it block payments?
It does not process payments directly. It screens changes and routes high-risk ones for human verification before using the updated details to make payments.
Can we set different risk thresholds?
Yes. You define what constitutes a high-risk change and which indicators trigger further verification, including:
- Risk indicators
- Historical comparison rules
- Channel validation
- Verification routing
- Audit logging
The Agent applies these controls consistently, while your team retains oversight of flagged changes.
How does Agent automation compare with a manual process?
Without Agent automation, teams manually verify bank detail changes before payment.
- Checks can be applied inconsistently.
- Urgent requests increase the risk of oversight.
- Fraudulent changes may only be identified after payment.
With Agent automation, every bank detail change is evaluated automatically against your defined risk indicators.
- Requests are assessed as they are submitted.
- High-risk changes are flagged before payment.
- Legitimate changes proceed without unnecessary delay.
Is there an audit trail?
Every Agent action is recorded in Gatekeeper with a timestamp, including the criteria applied, decision made, supporting evidence and reasoning where applicable.
This creates a searchable record of how each outcome was reached, supporting compliance verification, internal review and audit requirements.
How is my data kept secure and compliant?
Your data stays within Gatekeeper while the Agent performs its work. Actions, decisions and supporting evidence are logged, creating a clear audit trail.
The Agent operates within the permissions, playbooks and authority controls you configure.
Data handling follows Gatekeeper’s enterprise security standards, including SOC 2 Type II compliance and GDPR requirements.
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Expert insight & opinion
Related AI agents.
Gatekeeper's agents work as a single, connected team, handing off to one another across the lifecycle rather than running in isolation like bolted-on point tools.