Enrolment close February 20


Backed by real-world experience building 100+ AI agents for real workflows, used by 35k+ professionals, saving over 100hrs across teams and $5M in additional revenue anually

The AI Impact Accelerator is a 30-day live sprint where you build custom AI agents for real work.
You will design, test, and deploy three AI agents that support your actual workflows. Projects. Presentations. Career growth.
No demos. No theory-only sessions. You build while you learn.
Join 4 live build sessions where you design and launch AI agents using real workflows and real examples.
(recordings, slides, and templates included)
Get 5 hours of live support and feedback during sessions with personalised help as you build, test, and refine your agents provided by seasoned AI Consultant and Product expert.
Access a focused cohort community. Share wins, get unstuck fast, and see how others apply the same system across different roles
An Executive Project Assistant Agent as thinking partner, updates, meetings, and decisions
A Presentation Agent for decks, narratives, and exec summaries
A Career Coach Agent for growth, reviews, and interview prep
What you will leave with:
Three working AI Agents you can reuse every week
At least 10+ hours saved per week on real work
A simple impact proof you can share with your manager or team
A repeatable method to build new AI agents on your own
...this is not your normal course. You will do the work during the program. You test everything on your real tasks and leave with systems already running. Clear focus. Real output. Measured impact.
There’s NO fluff. NO basic information. NO upsell. NOTHING is held back.
It is designed to help you build from the ground up, even if you have never created an AI agent before and are non-technical.
Everything you need to design, build, and run AI agents that deliver measurable time and quality gains is included.

4 live build sessions that walk through the AI agentic system step by step. Session recordings, slides, and templates included.
Access to 30 ready-to-use AI agent prompts templates and real workflow examples so you can copy, adapt, and apply them directly to your work.
Over 5 hours of live guidance through build sessions, Q&A, and hands-on feedback as you design and launch your AI agents.
Join a focused cohort of professionals building AI agents together, sharing wins, lessons, and real use cases along the way.
4 hands-on build tasks to keep you moving, plus a cohort space to share progress, get help, and learn from others.

A letter from Patrick...
If you are a professional using AI today, this may be the most important advice you receive:
Stop chasing AI hype. Start building AI systems for your real work.
Most professionals today are surrounded by AI noise.
New models.
New tools.
Big promise of productivity
Yet very few people are seeing the efficiency gains they were promised.
They use AI often.
They save time in small bursts.
But work still feels busy, fragile, and hard to trust.
That’s because most people are using AI without structure.
They rely on one-off prompts.
They switch tools constantly.
They fix outputs manually every time.
This creates speed without stability.
What actually works is treating AI like a system.
Professionals who do this:
Build one assistant or agent per job
Define clear scope and output standards
Decide what stays human
Reuse the same system every week
When you work this way, AI stops being noisy and starts being reliable.
AI assistants tied to real workflows are the most reliable way to create leverage at work.
There is no asset more valuable than a system you can reuse every week.
A well-built AI assistant becomes:
→ A direct extension of how you work
→ A repeatable process that does not depend on memory or mood
→ A system you control, not a tool you chase
When you own your assistants, you are no longer at the mercy of:
→ New tools launching every week
→ Model changes that break your prompts
→ One-off experiments that never stick
One reliable assistant equals a consistent output every time you use it.
Ten reliable assistants compound into a meaningful advantage.
Yes, AI tools change.
Yes, models improve.
Yes, interfaces come and go.
But a workflow-based assistant survives those changes.
It can be rebuilt.
It can be ported.
It can be improved without starting from zero.
It is far better to own a system you have trained on your workflow and can trust than to rely on a 3rd-party tool you hope will work.
That is the difference between experimenting with AI and actually benefiting from it.

Using AI without a system puts you at risk.
Using AI with structure gives you a real advantage at work and beyond.
AI can help you move faster.
But speed alone does not protect your role, your reputation, or your growth.
Things can still go wrong.
Your outputs can miss the mark.
Your work can lose credibility.
Your time savings can disappear into more meetings and more work.
Your AI use can stay hidden because you do not trust it enough to share.
But there is one thing that changes everything.
Owning your AI systems.
When you build AI assistants tied to your real workflows, you are no longer guessing.
You are no longer reacting to tools or trends.
You are in control of how AI supports your work.
This is powerful because it means:
• You can handle recurring work faster without quality dropping
• You can reuse the same assistant every week instead of starting from scratch
• You can explain and defend your AI-supported work with confidence
• You can take on more impact without burning out
Even a single well-built assistant can save 3–5 hours per week.
That time compounds.
So does confidence.
Most professionals apply AI like a one-off experiment.
They paste something in.
They tweak it.
They move on.
Nothing sticks.
But when you have assistants already set up, you start every task ahead.
You are not starting from zero.
You are starting from structure.
This is more valuable than learning yet another tool.
I would rather have 3-5 reliable AI agents I consistently trust than access to every new AI tool released this year.
Because trusted systems scale. Tools do not.
But... building reliable AI agents is a lot of work.
Translating human intent and common sense into clear rules takes time.
Agents behave unpredictably once they hit real data and real workflows.
Small mistakes early can quietly cascade into broken outcomes.
Unless you want to waste hundreds of hours researching and experimenting, sifting through hype news, irrelevant releases, reworking outputs, and losing trust…
You are better off learning from someone who has already built and applied AI agents in real work.

I’ve been there. I’ve built this in the real world.
I’ve used AI to generate $5M+ in client sales, built an agentic audience insight platform used by 10+ Fortune 500 brands to test campaigns and consumer sentiment at scale, and built over 40+ AI agents used by 35K+ professionals to save thousands of hours in real workflows.
But it wasn’t always this way…
I built my first set of AI assistants in 2023 and made the same mistakes most people do. I had to rebuild the entire thing from the ground up due to user complaints. It was embarrassing
But I kept experimenting, building and obsessing over AI...
In 2023, I built PaceAI, an agentic AI platform with 35+ AI assistants designed to support real software documentation workflows. It grew to 35k+ users.
I then joined Satalia, a leading applied AI company, to help lead an initiative building AI brains for one of the world’s largest marketing agencies. There, I built the Audience Brain, which generated $1M+ in client sales. Satalia was acquired by WPP.
In 2024, I built and deployed AI agents for hospitality, construction, and manufacturing SMEs. These agents supported sales and marketing workflows and generated over $4M in client value.
In 2025, I built a consumer AI persona app exploring character-based AI and safe conversational design. It reached 10,000+ organic downloads.
Alongside this, my company AI Impact has built AI agents for senior executives, leaders, and coaches to support practical, everyday workflows.
You get the idea. The point is simple...
I know what it takes to build AI agents that work in the real world because I have built them, shipped them, and seen where they succeed and fail.
And most importantly...
The AI Impact Accelerator shares the full system behind how I build and apply AI agents in real work.
It is the result of 3+ years of hands-on building, real deployments, client work, and iteration across enterprise and SME environments.
There is nothing on the market like this.
Most AI courses teach you theory, overwhelm you to learn different tools and models, and impress you with AI terminologies.
This is not taught by people experimenting on the side.
It is taught by someone who has built, shipped, and been accountable for the results.
So, if you want to stop chasing tools and start building AI systems you trust…
If you want to reduce workload instead of adding complexity…
If you want to apply AI safely, confidently, and visibly at work…
If you want to build AI capability that compounds over time…
The AI Impact Accelerator is for you.
Click below to enroll before the deadline.
See you inside


P.S. I’m so confident this will help you there is a 30-day “no questions asked” money-back guarantee.
If you are unsatisfied with the program for any reason within 30 days of the program start date, I will refund your investment, excluding a 10% refund fee, which we use to protect our intellectual property and keep the program limited.
There’s no hassle. No questions asked.
This means you risk almost nothing by joining.
BUT you risk a hell of a lot more if you don’t join now.
The AI Impact Accelerator runs with a small cohort and enrollment is limited.
Once the cohort is full, enrollment closes.
The deadline to join is Friday, February 13th.
After we hit our student cap or deadline – enrollment ends.
You’ll miss your shot to join.
I keep this program small so I can provide personalised support and answer every student's questions.
This is why it works. It’s NOT just a course. You get to build live, coaching feedback, accountability, and community to ensure you reach your goals.
There are only a limited number of seats total. After this cohort, the next one is months away.
My final question to you is:
Are you ready to stop experimenting with AI and start building systems you can rely on at work?
If yes, join the AI Impact Accelerator before enrollment closes.

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