Checklist
AI Automation Readiness Checklist
A practical nine-part assessment and 0-27 scoring framework for deciding whether a business process is ready for automation.
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Explore research-backed guidance, frameworks, practical explainers, and operational resources for AI automation, cybersecurity, and technology transformation.
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Implementation Framework
From AI Pilot to Production: A Practical Implementation Framework
Moving an AI workflow into normal operations requires ownership, testing, controls, support, measurement, and a plan for change after launch.
Practical Guide
AI Automation Readiness: What to Assess Before Automating a Business Process
A practical way to decide whether a business process is ready for automation before software, vendors, or AI models enter the conversation.
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Resource library
155 resources
Practical Guide
AI Automation
Automation Exception Queues: Designing the Path When a Workflow Cannot Decide
A practical guide to routing ambiguous, incomplete, unusual, or higher-consequence automation cases to people who can resolve them safely.
Governance Guide
AI Automation
Building an AI Governance Framework That People Can Actually Use
AI governance works when responsibilities, risk decisions, inventories, review points, and escalation paths are clear enough to guide everyday work.
Security Guide
AI Automation
API Security for AI Automation: Protecting the Connections Between Systems
AI workflows often depend on APIs. Secure those connections with deliberate authentication, authorization, validation, logging, rate controls, and secret management.
Practical Guide
AI Automation
Workflow Mapping Before Automation: See the Work Before You Change It
A practical guide to mapping the real workflow, including handoffs, exceptions, data, and decision points, before introducing automation.
Checklist
AI Automation
AI Automation Readiness Checklist
A practical nine-part assessment and 0-27 scoring framework for deciding whether a business process is ready for automation.
Implementation Framework
AI Automation
From AI Pilot to Production: A Practical Implementation Framework
Moving an AI workflow into normal operations requires ownership, testing, controls, support, measurement, and a plan for change after launch.
Security Guide
AI Automation
Cybersecurity for AI Automation: Controls to Consider Before Deployment
AI automation adds connections, identities, data flows, vendors, and new failure modes. Security needs to be designed into the workflow before deployment.
Industry Guide
AI Automation
AI Automation in Healthcare Operations: Practical Uses and Important Boundaries
Administrative AI can reduce repetitive work in healthcare, but operational automation should not be confused with clinical decision-making.
Practical Guide
AI Automation
How to Identify Business Processes Worth Automating
Not every repetitive task deserves automation. A useful candidate solves a real operational problem and has enough structure to improve safely.
Explainer
AI Automation
Human Oversight in AI Automation: Where People Should Stay in the Loop
Human oversight works best when it is designed around consequences, uncertainty, exceptions, and accountability rather than added as a vague promise after deployment.
Practical Guide
AI Automation
AI Automation Readiness: What to Assess Before Automating a Business Process
A practical way to decide whether a business process is ready for automation before software, vendors, or AI models enter the conversation.