Get Savvy

You wrote one job description expecting one person to cover the books, the inbox, the socials, the automations and the projects. That job description is actually five different jobs wearing one title.

In this solo episode, Teesha breaks down why business support roles keep failing the same way, where the gap goes when nobody's actually covering it, and the simple exercise to run before you write your next job ad.

What you'll learn:

• Why most support roles are actually five separate jobs bundled into one job title, and what that means for who you end up hiring
• Where the gap goes when one person can't cover everything, and how it quietly becomes the owner's problem again
• A simple exercise to run before your next hire, so you know exactly what the role needs instead of hoping the right person shows up

Nobody prepares you for the strange, lonely, and sometimes confronting realities of leading people for the first time.

In this episode, Teesha shares the lessons she wished someone had told her before stepping into a management role - from letting go of the need to have all the answers, to understanding why your team members don't all respond the same way, and what to do when leadership starts to feel isolating.

If you're new to managing people, stepping into a senior role, or just feeling like you're figuring it out as you go, this one's for you.

What you'll learn:

• Teesha's top tips if you're new to people management
• What to do when leadership gets lonely
• Why some team members seem like they don't listen

Wondering what business automations look like in the real world? Not just the "here's what's possible" pitch, but the working ones running right now for real clients.

In this episode, Briar's back to walk us through the automations she's built and maintains across a range of her clients. From AI-powered inbox triage to sales lead capture and debtor follow-ups, these are practical, adaptable examples you can apply to your own business.

Plus, Briar explains when it makes sense to add AI into an automation, and why the traffic light system she uses for AI confidence levels is a must for anyone just getting started.

What you'll learn:

• Common automations Briar has applied across multiple clients
• When to use AI in your automations
• How you can easily adapt automations to suit your own business

You've heard us talk about automation a lot recently - today we're sharing what it actually looks like behind the scenes.

We're walking you through the real automations we've built inside Strictly Savvy - the ones keeping our sales pipeline visible, our clients celebrated, our team's timesheets sorted, and our onboarding running without anything being missed.

If you've been curious about where to start, or whether automation is even worth it for a business your size, this episode will show you it doesn't have to be complicated to save serious time.

What You'll Learn:

• The automations quietly running our business behind the scenes 
• How Kathryn built a sales and account management system in Make 
• What you can steal for your own business 

Not all automations are worth building.

Some run quietly in the background and save you hours every week. Others break constantly, create extra steps, or end up being more effort than the thing they were meant to replace.

In this episode, Strictly Savvy's tech lead Briar breaks down exactly what separates a good automation from a bad one, and what you should be thinking about before you start building.

From having a clear process before you touch any tool, to knowing what to do when something fails, this is the practical side of automation that most people skip over.

What you'll learn:

• What makes a good contender for an automated task
• When your automation is most likely to break
• How to add a backup plan to your automations

If AI has been feeling fine but not great lately, it might not be your prompting. It might be the tool.

Teesha and returning guest Kathryn break down exactly why they made the switch from ChatGPT to Claude, and why the whole Strictly Savvy team is following suit.

From outputs that still sound like AI even with a full brand guide loaded in, to being sent in circles for hours on automation troubleshooting, the frustrations were real and they built slowly.

This episode covers what finally tipped them over, what Claude actually does better, and how to test it for yourself without scrapping everything you've already built.

What you'll learn:

• Why ChatGPT started slowing us down instead of saving time
• The key differences between ChatGPT and Claude in real business use
• How to switch AI tools without disrupting your workflow

If you've ever told yourself "it only takes two minutes," this one's for you.

Those small tasks you keep brushing off are quietly eating your day. In this episode, we get into how minor inefficiencies add up, drain your focus, and cost far more than you'd expect.

From manual workarounds to repeated admin, we look at where the friction hides and how to start fixing it using tools you already have.

You'll come away knowing exactly where your time is going, and what to do about it.

What you'll learn:

• The hidden costs of 2-minute tasks
• How to eliminate friction points of annoying tasks
• Why 'good enough' isn't good enough

Still copying, pasting, and clicking your way through tasks even with AI? This is where things start to change.

In a special solo episode Teesha's here to break down Claude Cowork and why it’s being called the next step up from traditional AI tools.

Instead of just helping you think or write, it actually does the work for you - handling multi-step tasks inside your computer like a virtual assistant.

You’ll hear how it works, where it fits alongside tools like ChatGPT, and when it actually makes sense to switch.

If you’re ready to save time on the tasks you keep putting off, this one’s worth a listen.

What you'll learn:

• How to use Claude Cowork
• The next step up in AI from language models
• What's going on with Claude vs. ChatGPT

You’ve heard the advice a hundred times. Automate more. Delegate more. But when you’re staring at a task on your to-do list, it’s not always obvious which option makes sense.

In this episode, we're breaking down how to decide whether a task should go to a system or a real human. We'll take you through practical examples, explain where automation shines, and highlight the situations where delegation is still the smarter move.

You’ll also learn how the most efficient businesses combine both - letting systems handle the repetitive work while people handle the parts that require judgment and relationships.

What you'll learn:

• Real examples of what to automate or delegate
• Why delegation still matters in an AI-driven world
• How to combine automation and delegation for maximum efficiency

AI isn’t the problem. The way you’re using it probably is (sorry, not sorry).

We’re calling out the terrible ways we're seeing business owners using AI right now: copying and pasting robotic content, automating broken processes, and letting ChatGPT make business decisions for them, to name a few.

We break down six common mistakes and what to do instead so AI actually saves you time, protects your reputation, and strengthens your systems without stripping out the human touch that builds trust.

What you'll learn:

• The ways you're damaging your reputation with AI
• Why it's important to keep the human touch in your business
• How to use AI intentionally