Let the system remember what humans forget
Configure event-driven triggers and scheduled jobs to automate notifications, reminders, and recurring compliance tasks.
The challenge
Compliance deadlines don't remind themselves
AI governance involves countless recurring tasks: vendor reviews, policy renewals, training certifications, post-market monitoring cycles. When these are tracked manually, things slip through the cracks. A missed vendor review or forgotten policy update can become an audit finding or regulatory issue.
Review dates buried in spreadsheets that nobody checks
Manual email reminders that depend on someone remembering
No visibility into whether notifications were actually sent
Stakeholders miss alerts because they're in the wrong channel
Recurring compliance tasks require constant manual coordination
Benefits
Why use Automations?
Key advantages for your AI governance program
Trigger notifications when vendors, models, or incidents change
Schedule recurring reports and review reminders
Route alerts to email or Slack channels
Track execution history with full audit logs
Capabilities
What you can do
Core functionality of Automations
Event-driven triggers
Fire automations when vendors are added, models change, review dates approach, or reports are due.
Scheduled jobs
Run recurring tasks daily, weekly, or monthly—vendor review reminders, scheduled reports, post-market monitoring cycles.
Multi-channel delivery
Send notifications via email with attachments or Slack webhooks with formatted messages and links.
Execution logging
Track every automation run with timestamps, status, and results for complete accountability.
How it works
See it in action
Explore the key functionality of Automations
Automation rules
Configure automated workflows for common governance tasks
Create automation
Build custom automations with triggers, conditions, and actions
Enterprise example
How an organization eliminated missed compliance deadlines
See how organizations use this capability in practice
The challenge
An organization's compliance team was manually tracking vendor review dates in a spreadsheet and sending reminder emails. Reviews were frequently missed because the spreadsheet wasn't checked regularly, and there was no record of whether reminders had been sent. During an audit, they couldn't prove that vendor oversight was happening systematically.
The solution
They configured automated vendor review notifications that run daily at midnight. When a vendor's review date approaches within the configured threshold, the system automatically sends email notifications to the assigned reviewer. All automation executions are logged with timestamps and delivery status.
The outcome
Vendor review compliance improved from sporadic to systematic. The team no longer manually tracks or sends reminders. During the next audit, they demonstrated the automation configuration and execution logs showing consistent notification delivery. The auditor noted the systematic approach as evidence of effective vendor oversight.
Why VerifyWise
Automation that runs while you sleep
What makes our approach different
Event-driven and scheduled triggers
React to changes (vendor added, model updated) or run on a schedule (daily vendor checks, hourly PMM processing). Both patterns work together.
Reliable job processing
BullMQ with Redis ensures jobs run even if the server restarts. Failed jobs retry with exponential backoff. Nothing gets lost.
Template variables for context
Notifications include dynamic content: vendor names, review dates, days remaining, direct links. Recipients get actionable information, not generic alerts.
Complete execution history
Every automation run is logged with timestamp, status, and results. When auditors ask if reminders were sent, you have proof.
Regulatory context
Automation supports continuous compliance
AI governance isn't a one-time activity—it requires ongoing monitoring, periodic reviews, and timely responses to changes. Automation ensures these activities happen consistently without relying on manual coordination.
Article 9 requires ongoing risk management throughout the AI system lifecycle. Automated monitoring and reminders help ensure continuous oversight.
Clause 9.1 requires organizations to monitor, measure, analyze, and evaluate their AI management system. Automated reporting supports this requirement.
Third-party AI providers require periodic review. Automated reminders ensure vendor oversight happens on schedule rather than when someone remembers.
Technical details
How it works
Implementation details and technical capabilities
BullMQ with Redis for reliable background job processing with retry and backoff
4 trigger types: Vendor Added, Model Added, Vendor Review Date Approaching, Scheduled Report
5 scheduled jobs: Vendor notifications (daily), Report generation (daily), PMM processing (hourly), Slack policy alerts (daily 9 AM), MLFlow sync (hourly)
Template variables: {{vendor_name}}, {{review_date}}, {{assignee_name}}, {{days_until_review}}, and more
5 Slack routing categories: Membership, Projects, Policy reminders, Evidence/task alerts, Control/policy changes
Execution logging with success/partial_success/failure status and execution time tracking
Email rate limiting with token bucket algorithm to prevent delivery issues
Supported frameworks
Integrations
FAQ
Common questions
Frequently asked questions about Automations
More from Operate
Related capabilities
Other features in the Operate pillar
Ready to get started?
See how VerifyWise can help you govern AI with confidence.