Business · All levels
A recorded programme that takes you from a structured audit to a mapped process, a working agent setup and a controlled pilot — without automating chaos.
You have tried a few AI tools. Maybe you use a chatbot for drafts, or someone on the team has a subscription to a writing assistant. It helps here and there, but the real work still sits in the same place: messages pile up, requests get lost, documents are rebuilt from scratch, and the same questions come back every week.
The usual next step is to buy another tool or ask someone to 'add AI' to a process nobody has written down. That is where most projects lose momentum. Without a clear picture of how the work happens today, automation only makes the confusion faster. The team tries it for a while, the output is inconsistent, and the tool quietly stops being used.
This programme teaches the opposite route. You start with an audit of where time and attention actually leak, map the process as it works now, choose one priority candidate, and only then plan and build a controlled AI-assisted workflow. The goal is not to hand over judgement to a machine. The goal is to give repeatable work a reliable system, with a person still in the loop where it matters.
The lessons are recorded and self-paced. You work through the same stages used in a practical implementation project, using templates that keep the scope small enough to finish and honest enough to review.
By the end of the programme, you will have a documented first process and a pilot plan you can defend.
Find the repeated work, handovers and decision points that consume time.
Show inputs, outputs, roles, systems and the places where work waits.
Use clear criteria instead of picking the loudest complaint.
Define scope, access, acceptance checks and a fallback route.
Turn a process step into a clear brief, context and test set.
Collect the rules, examples and answers an assistant needs to be useful.
Test quality before expanding, with human review at the right points.
Decide what the system does, what it must not do, and when it calls a person.
Leave instructions, checklists and a plan for the next process.
The programme follows a simple sequence: audit, process map, implementation plan, agent setup, pilot launch and handover. Each stage ends with a concrete artefact, so you are never left with a pile of theory and no next step. The audit is something you run yourself with the templates, not a vague conversation about 'using AI more'.
The audit looks at where time is lost: repeated messages, manual copying, approvals, follow-ups, document preparation, reporting and internal questions. You mark the points where a person makes a decision and the points where information moves between systems. That map becomes the basis for choosing one candidate process, not five at once.
The implementation plan turns the map into a small scope of work. It defines what the AI will do, what stays with a person, how access and data will be handled, what quality looks like, and what happens if a tool is unavailable. Only then do you build the assistant, agent or connection.
The pilot is deliberately limited. You test on real examples, review outputs with a human in the loop, collect feedback and decide whether to expand, pause or stop. The final module covers documentation, team instructions and a maintainable knowledge base so the system can survive after the initial enthusiasm.
The course is delivered as recorded video lessons with worksheets and practical assignments. You can move at your own pace, pause between modules and return to the material when you are ready to apply it. There are no live sessions or one-to-one consulting included; the value is in the structured method and the templates you keep.
Each module ends with a short exercise that produces a usable artefact: an audit summary, a process map, a prioritisation score, an implementation plan, an agent brief, a pilot review or a handover document. You can complete the exercises for a real process in your own business, or use a realistic example if your current process is not ready to share.
The lessons are tool-agnostic. They show how to think about assistants, agents, prompts, knowledge sources and simple connections without tying you to one subscription. You can follow along with common tools, including free tiers where available, and adapt the setup to the systems your team already uses.
Six modules follow the same route used in a practical implementation engagement, rebuilt as recorded lessons and exercises.
Every module produces a practical asset you can reuse in the next process.
Short, focused walkthroughs you can watch in order or return to by topic.
A structured way to collect evidence about where time is going.
A simple layout for triggers, steps, roles, systems and handovers.
Score candidate processes by impact, effort, risk and readiness.
Scope, roles, access, quality criteria and fallback planning in one place.
Turn a process step into a clear role, context and test set.
Review outputs, record issues and decide whether to expand.
Rules, team instructions and support notes for a maintainable system.
Return to the material when you are ready for the next process.
You finish with one process documented clearly enough that someone else can follow it. You have an audit summary, a process map, a prioritisation decision and an implementation plan with roles, access notes, quality criteria and a fallback route. That alone prevents the most common failure: buying a tool before understanding the work.
You also have a tested pilot design. You know which part of the process to start with, what the AI should produce, which examples to test against, where a person must review the output, and what evidence would make you expand or stop. The system is not presented as autonomous. It is a controlled assistant inside a process you understand.
Finally, you have handover material: rules for what the system must not do, team instructions, a quality checklist and a small knowledge base plan. You can use the same method on the next process without starting from a blank page.
Most learners spend around two to three hours per week watching lessons and completing the exercises. The programme is self-paced, so you can spread it over more weeks or work through a module in one sitting if you already have the material ready.
No. The course is written for business owners, managers and operators. It explains the concepts in plain language and focuses on process design, briefs, testing and quality control. If your setup needs a developer later, you will have a clear specification to hand over.
After payment is confirmed, you receive access to the course library where the recorded lessons and worksheets are hosted. You can start immediately and work through the modules in your own order.
The lessons are recorded videos with supporting worksheets, templates and practical assignments. There are no live sessions. You watch, complete the exercise and keep the artefact for your own process.
You keep lifetime access to the lesson library, including the templates and any updates made to the course material. You can return to it when you are ready to improve another process.
There is a 14-day money-back guarantee. If the programme is not right for you, request a refund within 14 days of purchase and the payment is returned according to the store policy.
Yes. The lessons are tool-agnostic and teach a method you can apply to the systems your team already uses. Examples may use common assistants and automation tools, but the goal is to help you choose and test what fits your process.
It is a recorded, self-paced programme. There are no live sessions, one-to-one consulting or done-for-you implementation included. You get the method, templates and recorded walkthroughs to apply yourself.
That is a normal starting point. Module 1 begins with the audit and Module 2 shows how to map the process as it works today. You do not need polished documentation before you begin.
Work through the audit, choose a priority process and build a pilot you can review with evidence.