INSIGHTSSignal, not hype.
What's actually changing in AI, what it means for the people running a business, and what we're learning as we take organizations through the framework.
What Company Data Should Never Go Into a Public AI Tool, and How Do We Classify the Rest?
Trade secrets, personally identifiable information and regulated data stay out of public AI tools. A four-tier classification ties every kind of company data to a rule for which AI tools may handle it.
What Training Do Employees Need Beyond Prompt Writing?
Prompt writing is the starting point. Employees also need data rules, output verification, workflow delegation and disclosure, each taught from the company's own governance policy.
What Controls Should We Have in Place Before Letting an AI Agent Access Our Email, CRM, or Financial Systems?
Five controls belong in place before an AI agent gets credentials to your email, CRM or financial systems. Here is what each one does, how much autonomy to grant at the start, and who should own the decision.
What Metrics Should Companies Track to Measure ROI From AI Adoption?
Eighty percent of people say AI made them more productive. Thirty-seven percent of companies can point to real EBIT impact. AITF explains the four things worth putting on a dashboard — and why the client has to be the one keeping it current.
Should We Hire an AI Consultant or Coach, or Can Our Internal Team Handle It?
Most companies can run AI transformation in-house. Most also stall around month three. Here's what separates the ones that finish — and what to ask before hiring outside help.
Should We Standardize on One AI Platform, or Let Teams Choose Their Own Tools?
Left unmade, the AI platform choice doesn't stay open — it gets made department by department, by default. Here's why AITF ties governance to a single named platform, and what belongs in the contract before you commit.
What Does an AI Readiness Assessment Evaluate, and Why Should Executives Prioritize It?
An AI readiness assessment scores five categories before any strategy work begins — data, leadership usage, vision, policy, and technical skill. Here's what each one measures, and what AITF found when it ran the assessment on itself.
What Is Shadow AI, and Why Is It a Governance Risk for Growing Businesses?
Two-thirds of employees say they've used AI tools they believe violate company policy. Here's why blocking it backfires — and the no-penalty process that gets shadow AI into the open before you write a policy.
What Should We Ask an AI Vendor About Privacy, Retention, Training and Indemnification Before We Sign?
Data handling, security, compliance, access scope, and how fast you can shut it off. Five questions settle most of what gets expensive after a contract is signed — and the order you ask them in matters.
Who Should Own AI Strategy and Governance in a Mid-Sized Company?
Only 19 percent of CFOs say they carry the greatest responsibility for AI governance — even though 96 percent are confident in their framework. That gap is where accountability disappears. Here's how AITF closes it with named owners, not titles.