Bizzuka, Inc.

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Bizzuka, Inc. We teach organizations how to implement our proven AI framework so they can scale and compete within their industries.

Bizzuka provides professionals with practical AI training designed for real-world impact. Our programs help business leaders, consultants, educators, and entrepreneurs integrate AI into strategy, operations, and innovation. What We Offer:

- AI Certification & Training – Gain recognized credentials and hands-on experience.

- AI Strategy for Business Leaders – Learn how to implement AI for business growth.

- AI Skills Development – Build expertise that keeps you competitive. Our expert-led courses bridge the gap between theory and application, providing actionable knowledge that delivers results.

10/21/2026

A lot of leaders assume that if their team is comfortable with a chatbot, it's ready to start experimenting with .

John Munsell disagrees, and he explained why during his conversation with Debra Chantry-Taylor on Better Business Better Life.

In Bizzuka's 10 Levels of AI Mastery, the early levels involve a person telling the AI what to do. At level 9, make their own decisions and take action. They'll download what they need, pull it into your systems, and knock down doors you'd want them to knock on first.

John says teams jump from level 2 to level 9 all the time. His comparison: it's like walking into a room full of open gas cans holding a cigarette right after you learned to smoke.

He also points out that gas powers a lot of machinery. Agents can be very useful when your people understand what they're for and have controls in place to manage them.

Where would you put your own team on that scale today?

John and Debra cover the levels of mastery in more depth in the episode. Check out our complete discussion in the comments.

10/20/2026

How do you know if your AI training is working?

For a lot of companies, the answer is a quiz at the end of the course. In his conversation with Ann Carden on Expert in You, John Munsell explained why a passed quiz doesn't count as productivity, and why it shouldn't count as proof that training worked.

John sees measurement as part of AI governance. He says governance has to cover safety, security, ethics, who can access which systems, what AI can access, and training for everyone. It also has to measure where that training went.

His approach starts with a baseline. Measure how long specific tasks take before training. Then, as someone moves from Level 2 to Level 4, check what they've built and whether it saves them 2 or 3 hours a week.

Once you have those numbers, you can show the training paid off, prove an ROI, and see happier employees.

In the full episode, John and Ann also talk about what to do with the hours AI gives back. Check out our complete discussion in the comments.

10/19/2026

Plenty of teachers spent this semester figuring out AI on the fly. Here’s a simpler way into next term: keep one AI practice, change one, and test one.

That could mean letting AI pick apart your lesson plan before class, trading detector scores for a quick conversation with each student, or having students grade an AI essay before they write their own.

The full checklist is in the comments.

10/15/2026

Have you ever spent an hour rewording a prompt, trying to get AI to produce exactly what you wanted?

John Munsell told Ann Carden on Expert in You that many people get stuck right here. His approach is to build prompts and systems that get a task 85% to 90% done in a minute or two. Then he finishes the rest himself, often in about three minutes.

Most people want AI to hand them a finished product. When it doesn't read their mind, they either give up on it or keep pushing it for hours.

John also makes a point every leader should hear. If you don't know what excellence looks like, you'll get average or less out of AI. A mediocre player just becomes a faster mediocre player. The people who benefit most are the ones with deep expertise who know what good work looks like.

That's why John says adopting AI is more about change management than software.

In the full episode, John and Ann talk about what people do with the time AI gives back.

Check out our complete discussion in the comments.

10/14/2026

John Munsell had a funding round scheduled to close at 2 PM on September 11, 2001. By the time the markets crashed that morning, the money was gone, and his investors told him to go find a real job.

He didn't. He restructured the company instead, and it became Bizzuka.

On Phil Better's show, Invest in Yourself, John walked through that story and connected it to something he's telling clients right now about AI. Most people, he says, will get average results because they never taught the tool what excellent looks like. AI already knows a lot. It doesn't know your standards until you teach them, the same way you'd train a new hire.

That's also why he refuses to replace a longtime employee who knows the business with someone who just types prompts faster. He'd rather teach the person he already trusts.

There's a lot more in the full conversation about the book that shaped how he builds teams and where he sees the economy heading next.

Check out our complete discussion in the comments.

10/13/2026

Have you ever tried an AI tool, gotten a mediocre answer, and decided it wasn't worth the trouble?

John Munsell points to one likely reason. He told Ann Carden on Expert in You that managing AI is a lot like managing people. You'd never hire someone and skip onboarding, but that's how most people use AI. Without enough context and information, John says, it's going to flop.

Once you start giving AI that context, you can do something a new employee can't. Instead of one person juggling many responsibilities, you can build small AI assistants that each handle one narrow task. John's examples include writing emails, following up on board reports, and turning expense reports into spreadsheets.

John also explains why so many people get stuck: they assume AI is clairvoyant. When they learn how to work with it, they start rethinking their entire workday.
In the full episode, John and Ann also talk about what AI means for people's jobs.
Check out our complete discussion in the comments.

10/12/2026

A chatbot gives you a draft to review. An skips the review and takes the action. Before you hand it that power, 5 decisions need answers: what it can access, what good work looks like, who owns the result, where a person must approve, and how to stop it and undo it.

We laid out how to make each one, step by step. Link in comments. 👇

10/09/2026

Ask AI for “a lesson plan on the causes of the Great Depression” and you’ll get a tidy timeline any high school student could recite.

Great for a high school class, but useless for junior history majors who are supposed to defend an argument with primary sources.

The AI did exactly what it was told. It got a one line request and filled in everything else with the most average answer it could find.

Many faculty are planning with AI this way right now. Most provosts won’t notice until a chair can’t answer “Is this okay?” or a citation in course materials leads to an article nobody ever wrote.

The fix is a short written brief every instructor completes before asking AI for help. Link in the comments.

10/08/2026

A CEO used to spend three hours just deciding whether an incoming RFP was worth pursuing, and three more weeks analyzing it if it was. His company only responded to about three of these a year.

Now he can reach a go or no-go decision in 20 minutes and complete a full response in three hours with one person running it.

John Munsell shared this story during a conversation with Susanna Rantanen on The Story-Driven Business Podcast, using it to explain what he thinks will separate the companies that win with over the next two to three years from the ones that fall behind. The CEO in this story runs a 60-person company. He went through Bizzuka's training himself, then built a tool to analyze large RFPs, documents that regularly ran 300 to 500 pages.

The company used to respond to about three RFPs a year. They can now respond to three or four a month. At roughly a quarter million dollars per response, that shift opened up a new revenue stream without hiring anyone new.

Johns point is that this kind of result comes from training people broadly, not from building one large application and hoping it delivers. He referenced MIT's finding that 95% of AI initiatives fail, and argued the real cause is a lack of collective knowledge inside the organization, not simply picking the wrong tool.

There's a lot more in the full conversation about what this looks like at larger scale.
Check out our complete discussion in the comments.

10/07/2026

Most people using AI at work do the same thing: open a chat window and type what they want. John Munsell says that's actually the last step in a much longer process, and he walked through the full version during a conversation with Susanna Rantanen on The Story-Driven Business Podcast.

He calls it the , a 9-block framework built for producing AI output at a real production level. The blocks cover target audience, company, products and services, context, role, style and brand voice, resources, and rules, in that order. Only after those are defined does the actual request happen.

John’s example: telling AI you're targeting "CEOs of healthcare companies" works fine for a quick draft. Building a detailed profile of that audience's pains, fears, and goals, and feeding it in as a document, sharpens the model's inferences considerably and produces a noticeably better result.

He singled out the context block as the one people skip most. That's where you feed AI your own opinions and point of view, not just a research request. Skipping it is how you end up with the same generic content everyone else is already publishing.
There's a lot more detail in the full conversation about how this plays out block by block.

Check out our complete discussion in the comments.

Address

5520 Johnston Street , Ste K PMB 1168
Lafayette, LA
70503

Opening Hours

Monday 8am - 5pm
Tuesday 8am - 5pm
Wednesday 8am - 5pm
Thursday 8am - 5pm
Friday 8am - 5pm

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+13372164423

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