We Were Wrong About AI Training (Here’s What Actually Works)

Front-door AI classes didn’t move the needle. Our Proof-First Method does—fast.

Hey again,

We’ll say the quiet part out loud: we were wrong about AI training.

When we started Kerzie Consulting, we assumed people would run toward AI the way they ran toward Google—curious, motivated, and eager to rework their own processes. We offered upfront, “front-door” training: “We’re here to train your team… your whole company… let’s teach everyone ChatGPT.” We thought that would spark self-directed change.

It didn’t.

What actually happened

Most teams:

  • Are time-poor and overwhelmed—“learning AI someday” keeps losing to today’s deadlines.

  • Don’t translate generic tips into their workflows.

  • Have one “AI person,” but that knowledge doesn’t spread across departments.

  • Are nervous about policy/IT, so they stall.

Generic training ≠ changed outcomes.

What works instead: The “Proof-First Method”

We stopped guessing and started building proofs against the most important outcomes leadership cares about—then we train the exact people who will run those proofs every day.

How it works

  1. Interview leaders (sales, ops, finance, service): What hurts? What’s stuck? What would materially change the business if it got 5–10× faster or better?

  2. Define “what good looks like” with a number and a clock: “Proposal time: 5 days → 24 hours.” “Inbound response: < 1 hour.” “Rework: –30%.”

  3. Build a live proof using approved tools/data (no theory): working workflow, running prompts, automation where it makes sense.

  4. Document the playbook (inputs, steps, guardrails, QA) so anyone trained can run it.

  5. Targeted training & handoff to the specific roles who will own it—not a general class.

  6. Scale & govern: expand to adjacent workflows, add metrics, align with IT/data policy.

Why it works: people adopt what saves them this week; leaders know exactly who to train, on what, and why it matters.

“You have no idea how much time you just gave my people back.”

— CEO, Commercial Hardware Client (after a 3-hour fundamentals + “Proof-First” session)

What changes when you go Proof-First

  • Time back immediately (fewer meetings to “figure out AI”).

  • Measurable wins your CFO and COO actually care about.

  • Adoption sticks because it’s role-specific and ROI-visible.

  • IT-friendly: we build inside policy with clear guardrails.

For Tech Sales Teams: Velocity Sales Training

If you sell hardware, software, cloud, or SaaS, we built a dedicated track for you.

Velocity Sales Training is tailored to your motion and market:

  • AI-augmented discovery, competitor tear-downs, and proposal acceleration

  • Objection handling, call prep, and account planning with AI copilots

  • Pipeline triage and territory prioritization that saves hours every week

  • Fully customized to your sales process, ICPs, and KPIs

If tech sales is your arena, we’ll adapt Velocity to your team and tools.

If you’re a leader, start here (10-minute exercise)

Pick one outcome that would move the needle this quarter:

  • Reduce proposal turnaround from 5 days → 24 hours

  • First response to inbound leads < 60 minutes

  • Month-end reporting same day with fewer errors

  • Support ticket tagging/routing fully standardized

Then ask: Which roles touch this? What inputs are needed? What’s the review step?

That’s your Proof-First map. Book a call with us today and let’s talk this out.

Ready to skip the front door?

If you’ve tried “AI lunch & learns” and didn’t see change, you’re not alone. Proof-First flips the sequence: outcomes → proof → targeted training → scale.

Learn more & schedule a conversation:

Prefer direct scheduling? You can also book here: kerzieconsulting.com/scheduling

Let’s make the win obvious—and then make it standard.

— Wade