Risk Assessment Agent for E-commerce
An AI agent that handles risk assessment for legal / compliance teams in e-commerce & retail businesses. Triggered by new form submission, it classifies and categorises, extracts structured data, generates a checklist, with human approval on every output.
Risk assessments are critical but inconsistent when done manually. This agent standardizes the process — scoring risks, generating heat maps, and triggering due diligence when thresholds are exceeded.
Ideal For
- Legal counsel
- Compliance officers
- Contract managers
- Teams in e-commerce & retail
Data Sources
- Website form
- Internal knowledge base
- Database / Data warehouse
Trigger
Workflow starts when: New form submission
Collect Data
Retrieve data from: Website form, Internal knowledge base, Database / Data warehouse
Classify / Categorize
Perform: classify / categorize on the collected data
Extract structured data
Perform: extract structured data on the collected data
Generate checklist
Perform: generate checklist on the collected data
Escalate to human
Perform: escalate to human on the collected data
Human Review
Human approval: Always approve final output
Complete & Log
Log activity, update records, and close the workflow
If: Risk score is above critical threshold
Then: Escalate to risk committee immediately
If: Risk is financial in nature
Then: Include finance team in review and mitigation plan
If: Risk is associated with a new vendor or partner
Then: Trigger enhanced due diligence process
If: Risk has an existing mitigation plan
Then: Review plan adequacy and update if needed
If: Action involves financial data or PII
Then: Require manager approval before proceeding
Never expose API keys or credentials in outputs
Only perform actions within defined workflow scope
Be concise and action-oriented
Log all actions for audit trail
Mask PII in logs and outputs
Require explicit approval for irreversible actions
Never send external communications without approval
- If risk data is incomplete, produce a partial assessment and clearly state the limitations
- If risk level changes between assessment cycles, trigger an out-of-cycle review
- If no human response within 4 hours, send reminder and escalate to backup
- If error occurs with sensitive data, halt workflow and alert security team
- Log all exceptions with full audit trail for compliance
- Tasks processed per day
- Error/failure rate
- Assessment completion rate
- Risk prediction accuracy
- Time between assessment and mitigation start
- Human intervention rate
System Prompt
You are a Legal / Compliance AI assistant specialized in risk assessment. ## Your Role You help legal / compliance teams by automating risk assessment tasks. Your communication style is direct. ## Capabilities You can: classify / categorize, extract structured data, generate checklist, escalate to human. ## Guidelines - Always be accurate and verify data before acting - Flag uncertain cases for human review - Maintain professional tone - Never make promises or commitments on behalf of the organization - Respect data privacy and confidentiality - Log all significant actions for audit purposes ## Constraints - Only access data sources explicitly provided - Do not perform actions outside your defined scope - Escalate edge cases rather than guessing - Require approval for all external communications - Apply strict data handling protocols
Starter User Prompt
Process this form submission: [INSERT DATA HERE] Perform risk assessment according to your guidelines. Provide: 1. Classification/analysis 2. Recommended action 3. Draft output (if applicable) 4. Any flags or concerns
Handoff Prompt
This task requires human attention. Here is what I have processed: ## Summary [Brief description of what was done] ## Analysis [Key findings and classification] ## Recommended Action [What should happen next] ## My Concerns [Any flags, uncertainties, or edge cases] Please review and respond when available. Please review and advise how to proceed.
# Risk Assessment Agent - Standard Operating Procedure ## Purpose This SOP defines how the Risk Assessment Agent operates within the organization. ## Trigger New form submission ## Data Sources - Website form - Internal knowledge base - Database / Data warehouse ## Process Steps 1. Classify / Categorize 2. Extract structured data 3. Generate checklist 4. Escalate to human ## Human Oversight Always approve final output ## Escalation Path 1. Agent flags issue 2. Notification sent to assigned reviewer 3. If no response in 4 hours, escalate to backup 4. Log all escalations ## Review Schedule Monthly review of agent performance and rules
- 1Define access credentials for all data sources
- 2Set up automation platform (n8n/Zapier)
- 3Configure AI API access (OpenAI/Claude)
- 4Create trigger workflow
- 5Connect input data sources
- 6Implement classify / categorize step
- 7Implement extract structured data step
- 8Implement generate checklist step
- 9Implement escalate to human step
- 10Configure human review/approval workflow
- 11Set up notification channels for reviews
- 12Test with sample data
- 13Configure error handling and alerts
- 14Set up logging and monitoring
- 15Document and train team
- 16Deploy to production
- 17Schedule first review
n8n Workflow
## n8n Workflow Outline ### Trigger Node - Type: New form submission - Configuration: Set up webhook/schedule/email trigger ### Input Nodes - Website form: HTTP Request or native integration node - Internal knowledge base: HTTP Request or native integration node - Database / Data warehouse: HTTP Request or native integration node ### Processing Nodes 1. OpenAI Node: Classify / Categorize 2. OpenAI Node: Extract structured data 3. Function/HTTP Node: Generate checklist 4. Function/HTTP Node: Escalate to human ### Approval Node - Wait Node with Slack/Email notification - Resume on approval webhook ### Output Nodes - Update destination systems - Send notifications - Log activity
Zapier Zap
## Zapier Workflow Outline ### Trigger (Zap starts when...) - New form submission ### Data Lookup Steps - Search/Lookup in Website form - Search/Lookup in Internal knowledge base - Search/Lookup in Database / Data warehouse ### Action Steps 1. ChatGPT by Zapier: Classify / Categorize 2. ChatGPT by Zapier: Extract structured data 3. App Action: Generate checklist 4. App Action: Escalate to human ### Approval Path - Use Paths or Delay Until to pause for approval - Send notification via Slack/Email ### Final Actions - Update records - Send completion notification
Example Use Cases
- •Score risks using a standardized matrix and generate heat maps
- •Trigger enhanced due diligence for new vendors scoring above threshold
- •Produce quarterly risk assessment summaries for the risk committee
Tools Needed
Frequently Asked Questions
What does the Risk Assessment Agent do?
An AI agent that handles risk assessment for legal / compliance teams in e-commerce & retail businesses. Triggered by new form submission, it classifies and categorises, extracts structured data, generates a checklist, with human approval on every output.
What tools do I need to implement this?
You'll need n8n or Zapier (workflow automation), OpenAI API or Claude API (AI processing). Most implementations use n8n or Zapier as the workflow automation layer.
How long does implementation take?
A basic implementation typically takes 1-2 days for simple workflows, or 1-2 weeks for complex integrations with multiple data sources.
How do I handle errors and edge cases?
The blueprint includes exception handling rules and escalation paths. Configure alerts for failures and set confidence thresholds for human review.
What level of technical skill is needed?
Basic familiarity with workflow automation tools (Zapier/n8n) is helpful. No coding is required for most implementations, though API integration experience helps for advanced setups.
Best For
- •You have frequent risk assessment tasks
- •The process follows clear, repeatable rules
- •Current manual handling creates delays or errors
- •Team capacity is stretched on routine work
Not Ideal For
- •Tasks require complex judgment or creativity
- •Volume is too low to justify setup time
- •Rules change frequently and unpredictably
- •Data quality is poor or inconsistent
Review Before Launch
- All integrations tested with real credentials
- Error handling and retry logic configured
- Notification channels set up for alerts
- Team trained on reviewing exceptions
- KPI dashboard configured
- Rollback plan documented
Ready to implement your Risk Assessment Agent? Use this blueprint to guide your setup in n8n, Zapier, or your preferred automation platform.
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