Agentic AI Playbook

A practical guide to designing, governing and evaluating agentic AI systems in enterprise environments. Covers architectural patterns, safety and oversight, evaluation methods and operational considerations.

Contents

1. Architecture Patterns

• Planning and execution agents
• Multi-agent coordination
• Retrieval-aware agents
• Tool-use orchestration

2. Governance and Oversight

• Permission models for tool use
• Human oversight design
• Behavioural traceability
• Escalation and containment mechanisms

3. Risk Management

• Failure modes in multi-step reasoning
• Cost and latency risks
• Safety and compliance considerations
• Monitoring requirements

4. Evaluation Approaches

• Multi-step scenario testing
• Correctness and consistency checks
• Behavioural evaluation
• Stress and edge-case scenarios

5. Integration Patterns

• Using RAG within agent workflows
• Combining deterministic logic with LLM reasoning
• Workflow orchestration options

Intended audience

• AI engineers and architects
• AI CoE and strategy leads
• Governance, risk and compliance functions
• Organisations exploring agent-driven automation

Roadmap

• Add reference workflows
• Provide governance templates
• Add evaluation examples