AI Agent Implementation Guide
How to take AI agents from demo to dependable production system: tool design, permissions, approval gates, shadow mode and reliability metrics.
Who it's for
Product and engineering leaders planning agentic automation.
Contents
- 01What makes an agent different from a chatbot
- 02Choosing the right first workflow
- 03Designing narrow, typed tools
- 04Permissions and approval gates
- 05Shadow mode and evaluation
- 06Observability for agent trajectories
- 07Expanding autonomy safely
Key takeaways
- A framework for selecting agent use cases
- Patterns for safe tool design
- How to measure agent reliability
- A staged path to autonomy
Technologies covered
Services
Put it into practice
AI Agent Development
AI agents that plan, use tools and complete multi-step business tasks — with scoped permissions, approvals and full audit trails.
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Multi-agent and agentic systems that coordinate specialised agents across long-running workflows with supervision and control.
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Design and build AI-powered workflows that connect your systems, route decisions and escalate exceptions automatically.
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