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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Practical intelligence for responsible technology decisions.
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 a Safe Path for Work That Cannot Complete Automatically
A practical guide to routing failed or uncertain automated work into a controlled queue for review, recovery, and learning.
Governance Guide
Responsible AI & Governance
AI Governance Evidence Packs: Preparing a Reviewable Record Before Approval
A governance guide for assembling the evidence reviewers need to assess an AI use case without confusing documentation with proof of compliance.
Security Guide
Cybersecurity
Cybersecurity Asset Ownership: Making Sure Every Important System Has an Accountable Owner
A security guide for assigning accountable owners to systems, services, data stores, devices, and other important technology assets.
Practical Guide
AI Automation
Automation Failure Budgets: Deciding How Much Workflow Disruption Is Acceptable
A practical guide to setting measurable tolerance for automation failures and using it to prioritize reliability work.
Governance Guide
Responsible AI & Governance
AI Decision Logs: Recording Changes, Exceptions, and Human Overrides
A governance guide for maintaining useful records of material AI changes, exceptions, human overrides, and the reasoning behind them.
Security Guide
Cybersecurity
SaaS Offboarding: Removing Access Without Losing Needed Records
A security guide for removing SaaS access, transferring ownership, handling service identities, and preserving records that the organization still needs.
Practical Guide
AI Automation
Automation Dependency Mapping: Knowing What a Workflow Needs to Keep Running
A practical method for documenting the systems, data, identities, people, and fallback paths an automated workflow depends on.
Governance Guide
Responsible AI & Governance
AI Risk Acceptance Records: Documenting Why Residual Risk Is Allowed
A governance guide for documenting residual AI risk, decision ownership, conditions, monitoring, and review dates.
Security Guide
Cybersecurity
Zero Trust for SaaS Access: Applying Resource-Focused Controls Without a Network Perimeter
A practical security guide for applying identity, device, authorization, and monitoring controls to cloud business applications.
Practical Guide
AI Automation
Automation Recovery Objectives: Deciding What Must Resume First
A practical guide to defining recovery priorities, dependencies, acceptable delay, and safe restart criteria for automated workflows.
Governance Guide
Responsible AI & Governance
AI Change Impact Reviews: Reassessing Risk Before Material Changes Go Live
A governance guide for deciding when changes to models, data, prompts, vendors, integrations, or use cases require renewed review.
Security Guide
Cybersecurity
Secrets Management for Automated Workflows: Reducing Credential Exposure
A security guide for storing, limiting, rotating, and monitoring credentials used by integrations and automated services.