There is a point with AI where everything suddenly changes.

At first, it feels like WORK.

You’re feeding it information.

Building skills.

Creating prompts.

Connecting tools.

Writing instructions.

Correcting mistakes.

Updating knowledge.

And after a while you start thinking:

“WHEN is this actually going to start saving me time?”

I get it.

I’ve been there too.

But I’ve now reached what I can only describe as an AI tipping point.

I have spent months feeding my AIs my business information, systems, processes, content, stories, customer data, preferences, rules and instructions.

And suddenly, instead of me having to explain everything from scratch every time…

I can simply ask:

“Can you do this?”

And increasingly, the answer is:

“Yes.”

And then it actually GOES AND DOES IT.

That is the shift we are now seeing in AI.

We have moved from:

“Give me an answer.”

To:

“Go and do the job.”

And THAT is where things start getting very exciting.

Stop Thinking About AI as Just a Chatbot

Most business owners are still using AI like this:

“Write me a Facebook post.”

“Give me 10 ideas.”

“Rewrite this email.”

That’s useful.

But we’re moving far beyond that now.

With tools like ChatGPT Work, ChatGPT Dot, Claude and Grok Bot, we can increasingly give AI:

• Knowledge
• SOPs
• Tasks
• Processes
• Procedures
• Access to software
• Scheduled responsibilities
• Decision-making rules

And then allow it to perform work repeatedly.

Some of these AI skills are simply knowledge banks.

Others are actual automated jobs.

That means instead of asking AI to write one thing for you today, you can say:

“Every day at 6am, go and do this.”

And it can become part of your business operations.

Start With Real Business Problems

One of the biggest mistakes people make with AI is starting with:

“What cool thing can AI do?”

I think the better question is:

“What is currently taking me or my team HOURS?”

Look at the annoying stuff.

The repetitive stuff.

The tasks nobody enjoys.

The things that constantly get forgotten.

The jobs that require lots of fiddling around between different pieces of software.

And ask:

“How can I get an AI agent to manage this?”

That is exactly what I have been doing inside my companies.

Example: My AI Billing Manager

One of the first big areas I tackled was billing.

Previously, my team might need to:

• Go into Stripe
• Check whether somebody had paid
• Check another payment method
• Check Xero
• Find the correct invoice
• Find the customer record
• Find the payment link
• Write the email
• Send the follow-up

That might take 15 minutes for ONE customer.

Multiply that across lots of customers and you have hours of human labour.

So I basically said to my AI:

“Can you manage this?”

My master agent then created a billing manager.

It connected to the tools it needed and began checking payment information, researching each customer and creating the appropriate follow-up communication.

THAT is the level of task we need to start thinking about now.

Example: Increasing Customer Lifetime Value

Another massive opportunity is customer retention and lifetime value.

Most businesses spend enormous energy trying to get new customers.

But what about the people who have ALREADY bought from you?

Maybe they:

• Bought something two years ago
• Are only using one part of your service
• Need to renew annually
• Haven’t implemented something they originally wanted
• Could benefit from another service you offer

The problem is that personalised follow-up takes time.

So I asked my AI to research customers properly.

I wanted it to look at things like:

• Contact records
• Notes
• Tags
• Forms
• Previous conversations
• Previous purchases
• Their website
• What they had and had not used

And THEN make an appropriate personalised offer.

Not some rubbish generic:

“Hey, wanna buy something else?”

A real, relevant offer based on what that individual customer actually needs.

Your AI Can Become Your Content Team Too

I have also been experimenting heavily with content automation.

For example, I now have systems that can access:

• My training transcripts
• Otter recordings
• My blog
• My personal memoir and stories
• My Google Drive
• My B-roll images and videos

From that, I can ask it to create different categories of content.

For example:

1. A practical AI prompt someone can use
2. A teaching post from one of my workshops or calls
3. A personal story from my memoir

It can then match the content with images, log the ideas into a Google Sheet and schedule the posts through Tekmatix.

So instead of:

AI writes post → Sarah copies post → Sarah finds image → Sarah uploads image → Sarah adds hashtags → Sarah schedules post…

The whole workflow can become one skill.

Turn Your Calls Into Blog Posts Automatically

Another workflow I have been building is what I call:

Otter to Blog.

The idea is simple.

Every day, AI reviews my recent recordings.

If a recording contains useful educational material and does NOT contain:

• Private conversations
• Personal notes
• Client names
• Client business information
• Confidential information

…then it can turn that transcript into a blog post.

And not just write the draft.

It can potentially:

• Write the article
• Format the headings
• Make it SEO-friendly
• Make it AEO and GEO-friendly
• Add relevant links
• Create the image
• Create the metadata
• Create the tags
• Publish the article

And THEN it can take that published URL and share it across social media.

This is where automation starts becoming genuinely powerful.

Your AI Needs Guardrails Before You Let It Loose

Now.

Before everyone gets excited and gives AI access to EVERYTHING…

No.

Train it first.

When I first began creating my own agents and skills, my rules were very strict.

I would tell the AI:

“Do not send anything.”

“Draft only.”

“Ask me before doing anything.”

“Give me three examples first.”

Then I would review everything.

And some of those first drafts were TERRIBLE.

The AI would get things wrong.

It would make assumptions.

It would occasionally invent information.

And I would pull the work apart the same way I would if I were training a human employee.

I would explain:

“You said this person works in this industry. They don’t. Next time, check their website properly.”

“You offered this service. We don’t sell that.”

“You’ve used this language. I never use that.”

And then I give it one of the most important instructions I use:

Please update the skill and your knowledge base with this information so that going forward we never make that mistake again.

And I usually add:

Please update any other relevant skills that might need this information too.

THAT is how you train your AI.

Increase Autonomy Slowly

Do not go from zero to:

“Here’s my entire company, good luck.”

Start small.

For example:

First:
“Draft 10 emails.”

Then:
You manually review all 10.

Correct them.

Train the AI.

Then maybe:

“Send three.”

Review what happened.

Keep training.

Keep improving.

Keep updating the skill.

Eventually, when you have watched it perform correctly again and again and again, THEN you can increase its autonomy.

That is exactly what I have done.

There are things now where I simply say:

“Off you go.”

But I did not start there.

One Rule I Will NOT Break: Never Delete Anything

One of my strongest AI system rules is:

Never delete anything.

Seriously.

My AI is not allowed to delete:

• Contacts
• Emails
• Files
• Documents
• Blog posts
• Social media posts
• CRM records

If there is uncertainty, I would rather it create a duplicate than delete something important.

Duplicates can be cleaned up later.

Deleted data can become an absolute nightmare.

So one of your system-level AI instructions should be:

You may create a new version. You may create a duplicate. You may not delete anything.

Get a Daily CEO Report From Your AI

Another system I strongly recommend is a daily CEO or COO report.

At the end of the day, your AI can tell you what happened.

For example:

• How many support tickets came in?
• How many are still outstanding?
• Who answered them?
• What calls happened?
• Who didn’t turn up?
• What was discussed?
• How many lead follow-ups happened?
• How many customer retention messages went out?
• Were there complaints?
• Is anything going wrong?

Instead of logging into 15 different systems, I can get ONE summary.

That means I still have oversight.

I still know what is happening.

I still remain responsible.

But I do not have to personally touch every task.

Build a Customer Intelligence System

This is another huge one.

Stop guessing what your customers want.

ASK THEM.

And then let AI analyse the data.

One of the things we collect inside Tekmatix is onboarding information.

When somebody signs up, we ask them why they are there.

For example:

• Build a website
• Create courses
• Automate marketing
• Send emails
• Build a membership

Then I can tell AI:

“Go and analyse all these submissions and tell me why people actually come to Tekmatix.”

That gives us customer intelligence based on REAL people.

Not assumptions.

From there, I can ask:

• What problems are they having?
• What content should I create?
• What videos should I film?
• What offers should I promote?
• What tutorials would help them?
• What Facebook ads should I make?

One morning I did exactly that and AI gave me a whole list of videos to film.

So I filmed eight of them before getting on my next call.

That is how fast content creation becomes when you combine:

Customer data + AI + execution.

Ask One Question Every Day

Here is a ridiculously simple AI strategy.

Look at your to-do list.

Pick a task.

Then ask your AI:

“Could this be a skill?”

Or:

“Could this become a scheduled task?”

Or:

“Could you do this for me every day?”

Or:

“Could you do this weekly or monthly?”

That is it.

You do not need to redesign your whole business in one weekend.

Start turning individual recurring tasks into skills.

Give Your AI the Right Foundation

Your AI is only as good as what it knows about your business.

Some of the most important things you can give it include:

• Your company dossier
• Your strategic plan
• Your brand style guide
• Your links directory
• Your email style and communication preferences
• Your job description
• Your team’s job descriptions
• Your processes
• Your rules
• Your existing skills

The more context it has, the less you have to explain yourself every five seconds.

Turn Job Descriptions Into Automation Opportunities

This is useful even if you are an employee.

Write down your job description.

Then write the job descriptions of your team.

Then write the job descriptions of the people you WISH you could hire.

Now give those to AI and ask:

“Which parts of these jobs can be automated?”

“What skills could we build?”

“What agents could perform these tasks?”

“What still needs a human?”

This is not about getting rid of people.

It is about getting brilliant people OUT of repetitive nonsense.

If my team member is spending hours clicking around Stripe chasing invoices, I would much rather have AI do that while she spends her time on content, customers, partnerships, projects and work that actually requires a human.

Build a Master Skills Directory

Once you start creating lots of AI skills, there is another problem.

CHAOS.

You end up with:

• Skills in ChatGPT
• Skills in Claude
• Skills in Grok
• Random prompts
• Tasks
• Schedules
• Multiple versions
• Things you cannot remember creating

It can become what I call a snake’s wedding VERY quickly.

So create a master skills directory.

Mine tracks things like:

• Skill name
• What it does
• Where it runs
• Last updated
• Notes
• Which AI is responsible for it

That becomes your central index of your AI operating system.

Create a Daily Sync Skill

One of my favourite automations is what I call:

Daily Sync.

Every day, the AI checks what has happened and cleans up the loose ends.

It can:

• Update skills
• Add newly created skills to the directory
• Record changes
• Record where each skill is running
• Review chats
• Find unfinished tasks
• Mark completed tasks
• Add forgotten tasks to the task manager
• Save useful documents to Google Drive

This is particularly useful for my fellow ADHD brains who have approximately 10,000 tabs open and no idea where the music is coming from.

Instead of relying on your brain to remember:

“Oh yeah, I started something interesting in a chat at 10:42am three Tuesdays ago…”

Your AI captures it.

That is a MUCH better system.

Train Your AI Like Your Future Successor

This is probably one of the most important mindset shifts.

Stop treating your AI like a vending machine.

Treat it like an unbelievably promising new team member.

Imagine this person has just joined your company.

They are brilliant.

They are fast.

They are eager to learn.

And maybe one day, you want them capable of running huge parts of the operation without you.

How would you train that person?

You would:

• Teach them
• Correct them
• Give them examples
• Give them access
• Explain your preferences
• Explain your rules
• Show them what good looks like
• Review their work
• Increase responsibility over time

That is how I believe we should be working with AI.

You Do Not Need to Automate Everything Today

This is where people can very quickly get overwhelmed.

Do not try to build 400 skills tonight.

Start with one.

Then another.

Then another.

Every day, look at what you are doing and ask:

“Does Sarah really need to be doing this?”

“Does my employee really need to be doing this?”

“Could AI do the first draft?”

“Could AI do the research?”

“Could AI do the admin?”

“Could AI run this every week?”

“Could this become a skill?”

Over time, those little automations begin stacking together.

And eventually you hit that tipping point.

The moment where it stops feeling like you are building AI…

…and starts feeling like AI is helping build the business.

That is where this gets VERY exciting.

Now go and look at your to-do list.

Pick ONE repetitive task.

And ask your AI:

“Could this become a skill?”

Then go play.

Happy tekkin’.