Artificial Intelligence

Practical AI use cases for business operations, including document processing, reporting, request routing, knowledge retrieval and workflow automation.

Practical AI use cases for IT teams, including ticket triage, log analysis, documentation, scripting, security operations and controlled automation.

How to evaluate AI tools based on business fit, security, data handling, administration, integrations, cost, adoption and vendor risk.

The basics of AI governance and risk management, including policies, approved tools, data handling, human oversight, AI agents and ongoing review.

How to measure AI ROI using workflow baselines, total cost, time savings, business outcomes, payback period and realistic financial assumptions.

How to identify and prioritize high-value AI use cases based on business impact, feasibility, risk, effort and measurable results.

How to build a practical AI adoption roadmap covering use cases, security, platform selection, pilots, governance, measurement and expansion.

A practical executive guide to AI adoption covering use cases, governance, platform selection, pilots, employee adoption, measurement and ongoing optimization.

Compare ChatGPT, Claude and Microsoft Copilot for business. Understand differences in workflows, integrations, governance and when each platform may fit.

Learn what generative AI is, how businesses use it, where it has limitations, and how to evaluate ChatGPT, Claude, Copilot and AI automation responsibly.