AI Lab

The answer looks finished.
Can your team tell if it's right?

I teach people where AI fails, then give them practice finding the problem and checking the source. Add the retention program if you want to know whether they can still do it on their own, weeks later.

$1,250 or $5,000 Focused or Expanded working session, flat fee · +$2,500 retention program, optional

📅 Book a free discovery call →

Try the lesson

One word changed.
So did the decision.

Meeting notes / source checkIllustrative example

Meeting Transcript said:

The team discussed a Friday launch. No date was approved.

A discussion. The decision is still open.

AI generated meeting notes

The team approved the Friday launch.

A commitment the source does not support.

Show how to catch it

The teaching check

Discussed became approved. The summary created a decision that does not exist.

Find the source sentence that records approval. There is none. Keep the date open and ask the decision owner.

SourceDate discussed

AI notesDate approved

If nobody checksWork starts on a false premise

Made-up teaching example. No client result, captured response, or live AI connection.

Try the Catch Test →

The skill your team practices

From an answer to a checked decision.

Notice the claim

What is the answer asking you to believe?

Trace the source

Where did it come from? What was left out?

Test the answer

Check the number, date, rule, or missing context.

Make the call

Use it, correct it, or stop and ask a person.

The difference

Practice in the tools your team uses.

For Microsoft teams, the Lab starts in the work people already know across Word, Excel, PowerPoint, Outlook, Teams, and the approved Copilot environment. People learn how to frame the task, protect the information, check the answer, and know when AI should stay out.

Microsoft 365 CopilotChatGPTClaudeGemini

Choose two tasks where a wrong answer matters. I review the source material and build practice around the errors your team needs to catch. The core work uses one approved tool. Examples from other tools show how the checks travel.

The work behind the session

In the $1,250 working session:

Review of two workflows

I map likely errors, source checks, data limits, and the points that need human approval.

Applied practice

I teach with tailored examples. People find the error, check the source, and correct or reject the answer. Some answers are right. Knowing when to trust them matters too.

Written checks the team keeps

Each task gets a source check and a clear stop point.

Add the $2,500 retention program and you also get:

Three follow-up practice sessions

The team comes back to use the skill, find the weak spots, and correct the habit.

A before, after, and six-week skills report

You see which checks people could demonstrate, which they missed, and what needs more practice. The report includes attendance and any missing follow-up results.

1,000+ professionals trained Career teaching total across enterprise work, adult classes, and workshops.

Safe use is part of the work Data boundaries, source checks, and human responsibility stay visible.

Vendor neutral The patterns travel when the button moves again.

Who buys this

The leader who cannot afford another forgettable workshop.

This is for a learning leader or department head with a team that needs to use AI consistently, safely, and in the work they already own.

It is not implementation. I do not run the tools for the team or build a dependency on me. I teach the judgment, put it into practice, and leave the organization with people who can carry it.

Workflow check cards

What to verify. Which source to use. When to stop and ask.

A manager guide

One shared standard for reviewing AI-assisted work.

A skills report

Checks demonstrated. Errors missed. Next practice needed.

Choose the scope

One workflow or several. Then practice it again.

AI Lab: Focused

$1,250

One team, one focused working session. I map one to two real workflows, find where the output could fail, and set up a check card your team can use after the session.

AI Lab: Expanded

$5,000

A four-to-six workflow scope for a department, with the working session and materials defined in the engagement. For teams that need broader coverage, not just one task.

Add the retention program

+$2,500

On either tier: three follow-up practice sessions at weeks two, four, and six, and a before/after skills report showing what people can still do on their own; missing follow-up results stay marked as missing.

Tool access is checked before delivery. Licenses, travel, software builds, and ongoing tool management are outside these fees. Focused covers up to 25 people; Expanded covers a full department within the agreed workflow scope. Larger or multi-role groups beyond that are scoped separately.

What people say about my teaching

“Clear, honest, refreshingly hype-free, and an incredible teacher.”

Ben Bachmeier · Google review

“Her ability to translate complex AI concepts into clear, actionable workflows was exceptional.”

Derrick G Burr · Google review

Excerpts from reviews of prior work, captured June 2026. These describe my teaching, not measured results from this new Lab package.

Follow-through you can see · the $2,500 add-on

Check the skill again.

Before training

A starting task shows which checks people already use.

After practice

A fresh task tests the same skills with the same scoring rules.

Three follow-ups

Repeat practice at weeks two, four, and six.

Six-week report

See what people can still do. Missing results stay marked as missing.

Training tasks include correct and flawed answers. Scores describe those tasks, not guaranteed error reduction or financial returns.

Try the check

The percentage sounds plausible.

Made-up teaching example. This is not a client result or a captured tool response.

Source figures

Sales rose from 100 units to 120 units.

Practice AI answer

Sales grew by 120%.