Help your team do better work with AI.
Your employees do not need another presentation explaining that AI is changing the world.
They need to know how to use AI appropriately in the work they are responsible for.
iWasGonna™ develops practical AI training for small business teams around real roles, tasks and the tools they already use. Training is scoped to the audience and work—not tied to buying an IWG product.
The goal is not to turn everyone into an AI expert.
The goal is to help people use AI more effectively, consistently, and responsibly at work.
Not sure whether training is the right starting point?
Generic AI training only goes so far.
A general introduction can be useful.
But employees eventually need answers to questions like:
What should I use AI for in my role?
What should I not use it for?
Which tool should I use?
What information should I give it?
How should I write instructions?
Which sources should I trust?
How do I review the answer?
What needs human approval?
What happens when the result is uncertain?
How does this fit the way our company actually works?
Those are operating questions.
That is where business-specific training becomes more valuable.
Training should connect AI to actual work.
Instead of teaching disconnected features, training can be built around representative tasks.
Examples may include:
The work determines the lesson.
Not the other way around.
What training may cover
Role-specific AI use
Different roles have different responsibilities.
Training can help employees understand where AI may assist their work and where human judgment remains necessary.
That can include:
Better prompts and working instructions
A useful prompt is more than a clever sentence.
Employees may need to provide:
Training can help people understand what information the AI needs in order to perform useful work.
Using trusted information
AI should not become a substitute for knowing which business information matters.
Training may address:
Approved sources
Source hierarchy
Current versus outdated information
Attaching or referencing business materials
Checking the answer against the source
Recognizing when the AI does not have enough context
Reviewing AI output
Employees should know that a polished answer is not automatically a correct answer.
Training can help establish practical review habits:
The employee still owns the work.
Repeatable workflows
The strongest use of AI is often not a one-off prompt.
It is a repeatable way of performing a task.
Training may include:
This helps move AI from experimentation into practical operating behavior.
Acceptable use and accountability
Employees need practical boundaries.
Depending on the business and scope, training may address:
Training does not replace legal, compliance, security, HR, or company policy.
Those requirements remain the responsibility of the appropriate business owners and specialists.
Training can use the tools your team already has.
Business AI training does not require changing platforms first.
Training can be developed around tools already in use, subject to the platform, tasks and delivery scope being confirmed.
That may include:
ChatGPT
Claude
Microsoft Copilot
Gemini
Other approved AI tools
AI capabilities already built into business software
The tool matters.
Training follows your business needs. Changing platforms or purchasing AI Blueprint™ is not a prerequisite.
What training can look like
The format should fit the business need.
Depending on scope, training may include:
Practical team sessions
Instructor-led sessions built around the team’s roles and representative work.
Role-based examples
Examples focused on the actual work performed by specific employees or departments.
Guided practice
Employees perform representative tasks rather than only watching demonstrations.
Working instructions
Reusable prompts, guidance, checklists, or operating instructions for defined tasks.
Review checklists
Clear expectations for checking AI-assisted work.
Separately scoped follow-up
Follow-up practice or review may be separately scoped. Ongoing managed support is not included by default.
The audience, tasks, tools, materials, fees and intended learning outcomes are agreed before paid work begins.
One slide in. One short lesson out.
Training materials should be useful after the session. This example turns one slide from our Business AI deck into a short lesson people can replay.
Example only. Built from our own deck copy, not a client result.
Read the text version
Give us something you actually do. Not a hypothetical. A real project or workflow already on that person’s plate: a campaign, a report, a sales workflow, an admin process, documentation, planning.
Before: repeated prompting, lost context, inconsistent output, starting over every time, generic results.
After: real context, standing instructions, clear standards, a repeatable workflow, continuity and better collaboration.
We’re not optimizing AI in isolation. We’re improving how real work gets done.
Training does not have to begin with an audit.
If the business already knows what employees need to learn, training can be scoped directly. Start with a free introductory conversation or describe the need through the intake form.
An assessment may be useful when:
The current AI problem is unclear
Different employees are using AI in very different ways
The business does not know which workflows deserve attention
Tool choice is unresolved
Leadership wants evidence before deciding what training should cover.
But training should not be made artificially dependent on another engagement.
What a useful training outcome looks like
Training should do more than create attendance.
A practical outcome may include employees being able to:
Identify appropriate AI use cases in their role
Give the AI clearer instructions
Use approved context and sources
Recognize weak or incomplete output
Review results more consistently
Know when human approval is required
Follow a repeatable AI-assisted workflow
Understand when to stop and escalate
Where follow-up is included, the business may also examine whether employees continue using the agreed approach after training.
Attendance alone does not prove adoption.
What you may receive
Depending on the scope, a training engagement may include:
If the training reveals a workflow or tool problem, that can be identified separately rather than hidden inside the training.
Training should make AI easier to operate.
Employees should leave with a clearer answer to:
What do I do differently when I go back to work?
Not simply:
What did I learn about AI today?
That distinction matters.
How training fits our consulting method
Discover
Understand the audience, roles, tools, representative tasks, existing practices, and desired training outcome.
Assess & Audit
When needed, review the current work enough to understand what the training should actually address.
A separate assessment is not mandatory when the need is already clear.
Recommend
Define the training priorities, learning objectives, and operating behaviors that deserve attention.
Implement & Train
Deliver practical instruction, guided exercises, working materials, and agreed operating guidance.
Validate & Improve
Where follow-up is included, examine whether employees can perform the target tasks and whether the training needs adjustment.
You may need a different starting point.
If the business is still deciding where AI could fit:
If employees are already using AI but the workflow itself may be the problem:
If the main question is which AI platform the team should use:
If you are not sure what the business needs:
Teach the work—not just the tool.
Tell us:
We’ll start there.
Or: