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Welcome back to Beginner to Pro course.

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If you are here, that means you are ready to move from why automation matters to how automation actually

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works.

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In this episode, I will show you the core components that make automation possible.

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Think of this as learning the basic ingredients before you start cooking your own automation recipes.

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By the end of this lesson, you will have a clear understanding of how workflows are structured and

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how different parts work together to automate tasks effortlessly.

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Now the importance of data driven decisions in automation.

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Automation is not just about saving time, it's about making smarter, data driven decisions instead

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of relying on feelings.

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Automation helps collect, process, and analyze data to improve reporting.

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Increase visibility on Roy and to optimize resources like time and budget.

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This means businesses can make better choices, reduce inefficiencies, and allocate their efforts where

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they matter most.

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Let's get straight to it.

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What is workflow?

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A workflow is simply a set of steps that tells the system what to do, when to do it, and under what

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conditions.

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Imagine this you wake up, make coffee, check your phone, reply to emails, and then start work.

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That's workflow.

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You are following a set of steps.

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But we don't want you doing the steps.

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We want automation to do them for you.

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Think about how many hours get wasted on copy pasting data, moving files, or manually updating spreadsheets.

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Automating these repetitive tasks not only improves accuracy.

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But also boost productivity and job satisfaction.

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Your team can focus on high value work instead of tedious manual labor.

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Less time spent on repetitive work means more time for creativity, strategy, and business growth.

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Now.

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Predictability.

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Dataflow in automation.

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One of the biggest benefits of automation is predictability.

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But workflows follow a structured process every time, ensuring that no steps are missed and data flows

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exactly where it needs to go.

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This level of consistency reduces mistakes and ensures smoother business operations, making automation

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an essential tool for scaling and maintaining efficiency.

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Now breaking down a workflow, there are three key ingredients.

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But before building workflows, it's important to understand one key concept.

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Workflows are all about moving and transforming data between different systems, whether it's contact

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details, sales numbers, or support tickets.

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Automation helps ensure that data flows smoothly and accurately.

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Also, keep in mind that workflows can be linear one step after another or complex with multiple branches,

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depending on your needs.

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So every workflow, whether you are automating a business task or your morning routine, has three core

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parts trigger actions and conditions.

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Trigger is what starts the workflow.

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Actions are the tasks that need to be completed.

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And conditions is basically the logic that decides what happens next.

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So trigger.

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This is the starting point.

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The event that kicks everything off.

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For example, someone fills out a contact form on your website or send a message or upload a file.

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Think of it like an alarm clock.

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When the alarm rings, it triggers you to wake up.

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Triggers can come from different sources.

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A specific time.

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An event in an app like a message sent on WhatsApp, telegram, slack or any other communication platform

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or even manual input.

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Without a trigger, the workflow has no reason to start.

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No actions.

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These are the tasks that happen after the trigger.

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So, for example, send a confirmation email, update a Google Sheet and notify your sales team on slack.

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It's like making coffee.

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After you wake up, your brain gets triggered and the action is making that cup of coffee.

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So actions are the workers of your workflow.

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They can send emails, move data, create files, or even trigger other workflows depending on your

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needs.

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One important thing to remember is that actions ensure predictability in your processes.

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Whether it is whether it is just adding a contact to a CRM or automatically generating an invoice.

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Automation follows the same pattern every single time.

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No conditions or filters.

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This is where things get smart.

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Conditions.

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Decide what happens next based on certain criteria.

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So it's conditional logic.

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For example, only send delete to your sales team if the contact is from a specific country.

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It's like checking the weather before leaving the house.

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So if it's raining, you grab an umbrella.

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If not, you head out as usual.

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In short, conditions help you control the flow of automation.

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They ensure that the right actions are performed for the right situations and help avoid unnecessary

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steps.

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So also reduce complexity.

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Think of them as quality control.

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They ensure that only the right data.

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Let's make this reel with an example that's relevant for almost any business, whether you are in marketing,

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sales, or running your own agency.

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Let's say you manage incoming leads from your website, and you want to make sure no potential client

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slips through the cracks.

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So here is what you want to happen automatically when someone when someone fills out your website's

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contact form, their details should be saved in your CRM.

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If the lead is from a high value company based on their email domain, assign it to your top sales rep

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and send an instant slack notification to follow up as soon as possible.

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If it's a regular lead, add them to an automated email nurturing sequence and if the form submission

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is missing key info like no email.

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Send a follow up, uh, asking for more details.

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In automation language, trigger is a new contact form submission on your website.

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Actions add deletes into your CRM.

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Conditions.

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Check if the list company domain matches high value clients like fortune 500 companies.

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If high value assigned to a top sales rep and notified them via slack.

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If regular annual delete in an email nurturing campaign and if info is Foist incomplete.

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Send an automated follow up requesting more details.

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Now why this example works.

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While automating, always think about potential exceptions.

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What happens if an email fails to send or if the CRM is temporarily down?

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Adding simple error handling steps can make your automation more reliable.

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It's a multi-step workflow with real conditions and decisions, not just basic data entry.

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It shows you how you can combine lead qualification, CRM updates, sales notifications, and email

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automation in one seamless process.

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Plus, it's relevant to many industries.

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Perfect if you are managing leads, clients, or even job applications.

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And by the way, you can build this type of automation in N810 relatively easily.

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Once this is set up, it runs automatically in the background, so no need to manually track leads or

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worry about missing follow ups.

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Now handling edge cases and AI for decision making, human intervention and AI driven decision making

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when workflows encounter unpredictable situations.

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So sometimes automation alone is not enough.

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You may need human intervention for edge cases or AI powered decision making to handle exceptions.

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In future lessons.

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We'll explore how AI agents can help make intelligent decisions within your workflows.

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Best practices for workflow automation.

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Importance of planning and mapping out workflow before automating.

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So, before jumping into an A-10, try to take a moment to map out your automation.

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Use tools like Miro, Figjam, or even a simple pen and paper to sketch out the process.

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This helps identify missing steps and prevent wasted effort on workflows that won't work as expected.

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So before wrapping up, here are some quick best practices to keep in mind when building workflows.

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Map it out first, so sketch a simple flowchart of what you want to automate before jumping into automating

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platforms like N810.

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Start simple, build small workflows, test them, and then add complexity as needed.

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Test as often as possible and document your workflows.

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Add notes or comments, especially for complex automations so you or your team can easily understand

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them later.

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All right, let's wrap up what we covered today.

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So every workflow has three key parts.

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Triggers the starting point like a form submission or a new email.

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actions, which are the tasks that get done.

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So saving data, sending notifications, etc. and conditions the logic that decides what happens next.

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Like filtering high value lists, we work through a real world example.

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So automating lead management from saving CRM data to routing leads based on the email domain, and

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quick tips to remember, start small and build up.

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Test your workflows often and document your steps.

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In the next episode, you will learn about N810 and its interface.

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And I've got a small homework for you.

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Think of one repetitive tasks you do daily.

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Thanks for watching.

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I will see you in the next episode where we dive into N810 and start automating like a pro.
