1838% ROI on AI Tools (Part 2 of 2)
A little note: Firstly…this newsletter is 6 days late, many apologies. Monday brought with it a pretty horrible medical emergency with my husband. I managed to get the email version out on Wednesday, but then it all kicked off again. It's been a rough week, but he's back home now and it's time to get caught up.
Here we are at Part 2 of my two-parter, “1838% ROI on AI Tools”. I’ve had great feedback on the first part, so I’m hoping you’ll find the second half just as fruitful.
Last week, I took you through the first 5 steps:
Step 1: Look at business/role goals
Step 2: Explore the obstacles in the way
Step 3: Use the Impact/Effort Matrix to prioritise them
Step 4: Prompt Perplexity to see which can be solved by AI
Step 5: Search for the right AI tools
This week, we’ll do the final 4 steps:
Step 6: How to assess and pilot AI tools
Step 7: Critical questions to ask around data privacy
Step 8: The whole AI integration framework broken down visually
Step 9: My own ROI breakdown (1838%)
Before we get into that, the very quickest of notes :
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Right, let’s get on with it, shall we?
There are hundreds of thousands of AI tools out there - well, I’ve no idea exactly how many, but it certainly feels that way. Even as someone who works full time in the generative AI world, I’m still completely overwhelmed for choice. Every day, there’s something new.
Last time, I introduced you to how to find AI tools using sites like FutureTools.io, but let’s say you’ve found a few interesting tools, and you want to check them out. What next?
Step 6: How to Properly Assess Tools
You’ve got your list of potential tools - great. But before you go all in, you need to put them through their paces. For this, you’ll need my IMPACTT framework:
IMPACTT Framework
I - Integration
- How well does the tool integrate with your existing systems and workflows? Does it fit nicely alongside them? Does it replace several older tools? Does it have APIs (these help you link tools and softwares together)?
- How easy is it to get set up? (Don’t forget to include any data you need to feed into it).
M - Metrics
- What key performance indicators (KPIs) will you use to measure the tool's success?
This could include time saved, accuracy improvements, increased depth of service, or cost reductions. Many of my clients also measure team enthusiasm and uptake.
P - Performance
- How well does the tool actually perform its intended function?
Test it against your specific use cases and compare it to your current human methods. Look at accuracy and consistency, as well as speed and effectiveness.
A - Adaptability
- How flexible is the tool?
- Can it handle a variety of inputs and scenarios?
Consider how well it might adapt to future needs and how fast AI is evolving. Are they regularly releasing updates and new versions to stay ahead?
C - Cost
- What's the total cost of ownership?
First calculate how many hours this could save you (see my ROI video later in this newsletter for my calculations) (A).
Then add up tool subscription fees, implementation costs and training expenses (B).
If A is more than B, you may have a winner.
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T - Training
- How much training is required for your team to use the tool effectively? - Do they have a basic understanding of generative AI yet?
Consider the learning curve properly and evaluate available support resources.
T - Trust & Security
How reliable and secure is the tool? Dig into their policies on the site - absence of these is a HUGE red flag.
See below for questions to ask about security, direct from a tech lawyer specialising in AI.
IMPACTT Framework (AI for Non-Techies 2024)
Let’s Dig More Into Security
When it comes to security, AI is the wild west right now. So I asked a tech lawyer and two AI tool founders about the sort of things we should be asking.
Here are the results:
Here are a few other questions I’d ask:
Happy and secure? Let’s move on and actually use the thing.
Step 7: Organising a Pilot Program
You’ve vetted your tools, it's time to test them in the wild. Here's how to set up a strong pilot program:
Step 8: The AI Integration Framework
Alright, steps are helpful, but it’s easier to see in one place.
Let's pull all of this together into a visual framework you can revisit and use:
Note: People always ask if they can use my models and frameworks in their own trainings - that’s absolutely fine. Please just credit AI for Non-Techies and link to my site please.
And Finally, My 1838% ROI Breakdown
Now, I promised you a breakdown of my own 1838% ROI, so here it is.
If you follow me on LinkedIn, you may already have seen my post sharing this a week or two ago. But it’s worth seeing again - as I think it’s a simple but clear way to show ROI on AI, and I haven’t seen anything like it before or since.
I wrote down all of the tools and use, and estimated the hours they saved me each month. (An educated guess, from someone who’s done all these things manually before for years).
I’ve got a real mix of hourlys - my consultancy hourly is dramatically different to my training hourly, and that’s different to my everyday admin hourly. So rather than take my wonky hourly rates, I took the UK average hourly rate of £17.48, for the sake of balance.
So that’s 194 hours saved monthly x £17.48 = £3,391.12
Less cost of tools = £175/month
= ROI of 1837.7% (Nope, that’s not a typo.)
PLUS - that doesn’t factor in:
→ The new revenue generated by these tools → Tools I use to take care of my mental health → New services I can offer via these tools
DOUBLE PLUS - did you notice that 194 hours is basically a whole full time employee? It's a very exciting time for small businesses like mine, who can get to higher revenue levels than ever before without hiring.
And all that is just AI alone - imagine the ROI with automation, too. Cor.
Wrapping Up
There you have it, folks – your two-part roadmap to AI integration success. I’d love to know what you think, and learn about the results you get from implementing it.
Remember, the key is to start with problems, not technology. Stay focused on your goals, be methodical in your approach, and always, always prioritise data privacy and security.
Next week (Monday 28th, I need a week off to catch up after a week of horrible hospitals), we’ll be exploring the art of cloning yourself with AI using 3 cutting-edge tools: Veed, ElevenLabs and Coachvox.
Have a wonderful week,
Heather
PPC Strategy Consultant • Digital Marketing • Google Ads • AI-Powered Campaigns • Columnist, Search Engine Journal • 🗣 International Speaker • YouTube Ads
4moI completely agree with the overwhelming number of AI tools out there. Love the ROI breakdown and will be doing this exercise! Thanks for making this process feel a little more human Heather Murray. 👍
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4moWonderful list of efficient steps to keep in mind
I help Entrepreneurs, C-Levels and Companies to Leverage AI | Simplify Daily Workflows with Generative AI Tools | Retail & E-Commerce Growth Specialist | Founder of Pet Care store
4moSorry to hear this. Speedy recovery for your husband! Heather Murray
I help business owners leverage AI to multiply revenue, cut inefficiencies, and scale—WITHOUT adding overhead | Reclaim 18+ hours a week | Fractional Chief AI Officer | Founder, The AI Consulting Network | Top AI Speaker
4moGlad to hear your husband is on the mend. This guide is incredibly insightful for anyone looking to leverage AI effectively.
Get Your Business Unstuck | Scale with Confidence | Business Strategy | Process Optimisation | Leadership & Team Development | Practical No-Fluff Advice | Art & Luxury Sector | Building the MBA | Speaker 🎤
4moSorry to hear that Heather but happy to hear that he’s getting better! ❤️🩹