Agent Automation for Safety
Configure and deploy AI agent orchestration for multi-step safety content generation with guardrails and audit trails.
Course Overview
This course corresponds to Day 3 of the AI for Safety Masterclass and can be taken as a standalone programme.
Agent Automation for Safety takes you beyond simple workflows into the world of AI agent orchestration. Where automation workflows follow fixed pipelines, agents can reason about tasks, request additional information, and adapt their approach based on the data they receive.
Using the OpenClaw agent platform, you will configure agents that handle multi-step safety documentation tasks — with built-in guardrails that enforce policy compliance, failure handling for resilience, and comprehensive audit trails for governance.
By the end of the day, you will have a working agent configuration with policy gates, failure handling, and assurance documentation ready for stakeholder review.
Full-Day Agenda
Welcome and course objectives
Introductions, recap of automation workflows, and overview of agent orchestration concepts.
Introduction to AI agent orchestration
What AI agents are, how they differ from simple automation, and why they matter for complex safety documentation tasks.
Break
OpenClaw platform setup and configuration
Setting up the OpenClaw agent platform. Configuring agent tasks, defining inputs and outputs, and establishing communication patterns.
Lunch
Lab: One-way integration
Hands-on exercise configuring a one-way agent integration — sending safety data to an agent and receiving generated documentation.
Lab: Two-way callback and policy gates
Building two-way agent communication with callbacks. Implementing policy gates that validate outputs against safety standards.
Break
Lab: Failure simulation and handling
Simulating agent failures and implementing fallback strategies. Building resilient agent workflows that handle errors gracefully.
Audit trails, assurance documentation, and wrap-up
Generating run logs and assurance documentation. Recap, Q&A, and next steps for deployment.
Hands-On Labs
Progressive exercises building toward a complete agent deployment.
One-Way Integration
Configure an agent that accepts structured safety input data and generates formatted documentation — understanding the request-response pattern.
Two-Way Callback
Build two-way communication where the agent can request clarification or additional data before completing its task.
Policy Gates
Implement validation gates that check agent outputs against safety standards and hierarchy-of-controls requirements before delivery.
Failure Simulation
Simulate various failure scenarios and configure fallback strategies — timeout handling, partial output recovery, and escalation paths.
Tools and Platforms
OpenClaw
Agent orchestration platform used to configure, deploy, and monitor AI agents for safety documentation tasks. Provides built-in guardrails, policy enforcement, and audit trail capabilities.
What You Will Take Away
Agent Task Specification
A documented agent configuration defining inputs, outputs, communication patterns, and expected behaviours.
Run Logs
Structured logging templates that capture every agent action for audit and troubleshooting purposes.
Validated Outputs
Agent-generated safety documents that have passed through policy gates and compliance checks.
Assurance Documentation
Templates for documenting agent reliability, validation results, and governance for stakeholder assurance.
Certificate of Completion
Professional certificate recognising completion of the Agent Automation for Safety course.
Recommended Prerequisite
While this course can be taken standalone, we recommend completing either the AI for Safety Masterclass (Days 1-2) or the individual AI Fundamentals and Automation Workflows courses first. Familiarity with AI-assisted document generation and n8n workflows will help you get the most from the agent orchestration content.
Who Should Attend
Book Agent Automation for Safety
Available as a standalone course or as Day 3 of the full AI for Safety Masterclass.