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 Confidence Checks: Verifying Preconditions Before an Automated Action
A practical guide to checking data, permissions, dependencies, and business conditions before an automated workflow takes action.
Governance Guide
Responsible AI & Governance
AI Governance Operating Reviews: Running a Practical Recurring Review of AI Use Cases
A governance guide for running recurring AI reviews around current use, changes, incidents, monitoring, exceptions, ownership, and next actions.
Security Guide
Cybersecurity
Cybersecurity High-Risk Change Reviews: Adding Security Checks Before Sensitive Changes
A security guide for identifying sensitive changes and applying proportionate security review, evidence, rollback, and monitoring before release.
Practical Guide
AI Automation
Automation Kill Switches: Stopping a Workflow Safely When Behavior Goes Wrong
A practical guide to designing fast, authorized, observable ways to stop automated processing without creating a second operational problem.
Governance Guide
Responsible AI & Governance
AI Vendor Review Records: Capturing the Evidence Needed to Govern External AI Services
A governance guide for documenting external AI service capabilities, data use, controls, dependencies, change risks, and unresolved questions.
Security Guide
Cybersecurity
Cybersecurity Security Exceptions: Managing Temporary Deviations Without Forgetting Them
A security guide for documenting temporary control deviations with owners, compensating measures, expiration dates, and review triggers.
Practical Guide
AI Automation
Automation Cost Guardrails: Preventing Runaway Usage Without Blocking Useful Work
A practical guide to controlling automation spend with budgets, usage limits, alerts, ownership, and graceful degradation.
Governance Guide
Responsible AI & Governance
AI Testing Evidence: Recording What Was Tested Before an AI Use Case Goes Live
A governance guide for documenting AI test scope, scenarios, results, limitations, reviewers, and unresolved issues before deployment.
Security Guide
Cybersecurity
Cybersecurity Detection Ownership: Making Alerts Actionable Instead of Ownerless
A security guide for assigning detection owners, response paths, evidence needs, tuning responsibilities, and escalation expectations.
Practical Guide
AI Automation
Automation Service-Level Objectives: Setting Useful Reliability Targets for Workflows
A practical guide to defining measurable workflow reliability targets around completion, latency, backlog, and exception handling.
Governance Guide
Responsible AI & Governance
AI Data Lineage Records: Tracking What Data Influenced an AI-Enabled Process
A governance guide for recording the important data sources, transformations, retrieval paths, owners, and changes that influence AI-enabled workflows.
Security Guide
Cybersecurity
Cybersecurity Account Offboarding: Closing Access When Roles or Relationships End
A security guide for removing or transferring access when employees, contractors, vendors, or service relationships change.