Saying Yes to the Wrong Vendor
How to spot AI contracts that create liability, lock-in, or public trust problems before you sign. Learn what your vendors hope you don't ask.
See the module →AI training for government leaders
Lead AI decisions.
Don't just approve them.
Your staff knows ChatGPT. Vendors are pitching "AI-powered everything." Get the fluency to ask the right questions, catch the wrong answers, and make decisions you can defend to council, auditors, and the public.
3-hour modules
Plain-English explanations
Built for credibility
Money-back pilot guarantee: if your training team doesn't rate the session ≥4/5 on usefulness, we refund the licensing fee.
Sample Training Materials
Ready to deploy
Module 2: AI Vendor Evaluation
Questions Your AI Vendor Hopes You Don't Ask
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"Where does our data go when the contract ends?"
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"Who owns the outputs generated with our data?"
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"What happens if you get acquired?"
What to say in the room
"Before we move forward, I need to understand the data residency implications for our constituents. Can you walk me through your subprocessor list?"
Includes scripts, checklists, and red-flag guides
PDF + live workshop
The 3 Things That Get Government Leaders in Trouble with AI
You don't need to become a technologist. You need to stop nodding along in conversations you don't fully understand, and start asking the questions that protect your agency.
Data That Walks Out the Door
What your AI tools are actually doing with constituent data. The questions that matter, and how to ask them without sounding paranoid.
See the module →Promises You Can't Keep
How to pressure-test AI initiatives before announcing them publicly. Avoid the press release you'll have to walk back in 6 months.
See the module →Training that won't embarrass you later
Every module is designed and maintained by librarians from legal, academic, public, and school environments. That means the content is sourced, checked, and updated—so you don't look unprepared in front of staff, auditors, counsel, or the junior analyst who actually read the footnotes.
Built by librarians. Here's why that matters.
Librarians are professional bullshit detectors. They evaluate sources for a living, translate jargon into plain English, and design training that actually sticks. Our content comes from people whose job is making complex information accessible and defensible—not from consultants who learned AI last year.
Quality standard: If a smart junior staffer could poke a hole in it in 30 seconds, it doesn't ship.
Sources cited
Versioned updates
Plain-English definitions
Scripts you can actually use
Legal librarians
Policy language, risk framing, and "don't say that in a deposition" clarity.
Academic librarians
Research rigor, citations, and separating signal from vendor hype.
Public librarians
Accessibility, community impact, and language real people understand.
School librarians
Instructional design that sticks—clear outcomes, practical scaffolding.
What government leaders say after training
"I used to just nod when IT explained AI proposals. Now I know which questions make vendors uncomfortable—and why that matters."
JM
City Manager
Midwest municipality, pop. 85,000
"We were about to sign a 5-year AI contract. The vendor evaluation module helped us catch data terms that would have been a nightmare to unwind."
RP
Procurement Director
County government, Southwest
"Finally, training that doesn't talk down to you or assume you're technical. I actually use the scripts in meetings now."
DL
Deputy City Administrator
City government, Pacific Northwest
Core AI governance training modules
Take them as a team so everyone uses the same vocabulary and the same standards. Each module includes "what to say in the room" scripts you can use immediately.
AI Governance Basics
Oversight models, accountability structures, and documentation practices that hold up to scrutiny. The foundation for everything else.
Request syllabus →AI Vendor Evaluation
Contract red flags, data terms, and the specific questions your AI vendors hope you don't ask. Protect your agency before you sign.
Request checklist →AI Policy Simulation
Test your AI initiative announcements before they become promises you can't keep. Model outcomes, anticipate pushback, build defensible plans.
Request demo →Not sure if your team needs this? Let's find out.
Book a 15-minute call. We'll ask what AI decisions are landing on your desk, and tell you honestly whether our training fits—or if you're better served elsewhere.