Articles, page 8

Should you hire an AI readiness consultant, buy an assessment product, or do it yourself? When each is right, the hybrid that works, and how to hire well.

Shadow AI risk surveys are generic. Your own logs show who uses which AI tools and what they upload. A two-hour audit using logs you already have.

How to measure AI readiness in two weeks with your own team: a fixed framework, real evidence, a 90-minute scoring workshop, and a one-page summary.

An AI readiness report example, page by page: the 38-page sample report, what each section is for, and eight things any readiness report should include.

AI readiness assessment cost ranges from free to a consulting engagement. What drives the price, what each option delivers, and ten questions to ask first.

AI maturity model or AI readiness assessment? They answer different questions. What each is for, and which a mid-size IT team needs first.

AI readiness in manufacturing follows a pattern: solid infrastructure, loose guardrails, and knowledge locked in people’s heads. What to fix first.

In healthcare, AI readiness starts with HIPAA: business associate agreements, PHI tiers, and risk analysis come before any tool. The order that works.

In financial services, the AI questions regulators ask are ones they already ask about models, vendors, and customer data. How to be ready for them.

AI readiness for nonprofits and schools on a thin budget: use what you already license, protect donor and student data, and spend only where it counts.

AI readiness for professional services firms: protect client confidentiality, respect ethical walls, verify every output, and rethink what you bill for.

Before you centralize business data for AI, find out where the truth actually lives. A one-page source-of-truth map and the rule I use with IT teams.

Data quality ownership is the unglamorous reason AI pilots stall. Who should own it, why it shouldn’t be IT, and a one-page charter to run this week.

AI assistants surface every file a user can technically open. Fix SharePoint oversharing before enabling Copilot with this 30-day cleanup plan.

Before AI agents touch your business systems, get API access right: a dedicated identity per integration, read-only first, and a worksheet per system.

Sensitivity labels and DLP are how AI tools know what’s confidential. A 30-day rollout for Microsoft 365 teams that starts in audit mode, not blocking.

Every AI tool inherits your identity decisions. How SSO, role-based access, and access reviews become your AI control plane, plus a 10-point checklist.

Most vendor security reviews predate AI. Two questions to add, with the follow-ups and a red-yellow-green rule, before a vendor’s AI touches your data.

Your team uses free ChatGPT while the enterprise AI evaluation drags on. What actually differs, a decision rule, and how to end the stall in 30 days.

Do you need to move to the cloud before AI? Usually not. What cloud readiness for AI workloads really requires, plus a minimum landing-zone checklist.