Guides
AI agent strategy guides for business leaders
These guides explain how business leaders can plan AI agents: which agents to build first, how to keep them safe, and how to track the value they deliver.
How to build AI agents for business
To build the right AI agents for your business, start from high-value, repetitive tasks, give each agent a defined scope, tools and decision limits, and keep people in the loop for high-risk decisions.
- Read the guide to building AI agents for business
It covers a checklist for choosing the first tasks, an agent definition sheet, safe connections to your systems and where human review stays.
Safe AI agents: a governance guide
Safe AI agents work inside rules that decide what each agent may do, which data it may use and when a person must approve its work. Those rules are AI agent governance.
- Read the guide to safe AI agents
It covers what makes an agent safe, oversight by kind of action, personal data in agent workflows and audit trails.
AI value realization guide
AI value realization is the practice of stating the expected benefit of each AI initiative before it starts and comparing it with the measured result afterwards.
- Read the guide to AI value realization
It covers baselines, value levers, testing options before committing money and tracking realized against forecast value.
Where can I find definitions?
The agentic AI glossary defines, in plain language, the terms these guides use, from AI agent and human in the loop to baseline and realized savings.
Open the agentic AI glossary. For help applying the guides in your organization, see AI transformation consulting from AI Transitioning.
Planning AI agents in your organization?
Talk to AI Transitioning about which work to move to AI agents, and how to do it safely.