AI Agent Transaction → Risk Assessment → Approval Workflow
Automatically evaluate high-value AI agent transactions for risk, route them through appropriate approval channels, and execute or halt based on defined criteria.
Workflow Steps
Webhooks by Zapier
Capture transaction requests
Receive incoming transaction data from AI agent wallets including transaction amount, recipient, transaction type, and agent ID
Airtable
Log and risk-score transactions
Create a record for each transaction with automated formulas that calculate risk scores based on amount, recipient whitelist status, and historical patterns
Filter by Zapier
Route high-risk transactions
Check if risk score exceeds threshold (e.g., >70) and split the workflow - low-risk auto-approves, high-risk goes to manual review
Slack
Request human approval
Send high-risk transactions to approval channel with transaction details, risk factors, and approve/reject buttons for one-click decision making
Webhooks by Zapier
Execute approved transactions
Send approval or rejection decision back to the agent wallet system to either proceed with the transaction or halt execution
Workflow Flow
Step 1
Webhooks by Zapier
Capture transaction requests
Step 2
Airtable
Log and risk-score transactions
Step 3
Filter by Zapier
Route high-risk transactions
Step 4
Slack
Request human approval
Step 5
Webhooks by Zapier
Execute approved transactions
Why This Works
Creates a safety net that allows agents to operate autonomously for routine transactions while ensuring human oversight for potentially risky activities
Best For
Companies deploying autonomous AI agents with spending authority need safety controls and oversight for high-value transactions
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