5 min read

From Cost to Profit – How to Transform Traditional Data & AI for Explainable Value

Still treating data as a cost? You’re missing its true potential! This edition shows you how to flip the script, transform Data & AI from a cost centre into a profit driver, and create real, actionable value that boosts your business’s bottom line.
From Cost to Profit – How to Transform Traditional Data & AI for Explainable Value
What is your data ROI? If you don’t know, then it’s time to rethink your strategy.

I just asked a leadership team: ‘How much value is your data creating?’ If you can’t answer that, your data isn’t working hard enough for you. Here’s how to change that.

But first, let’s start by admitting that it is a real challenge to transform data and AI from an operational cost into a true profit-driving engine. 

This newsletter will focus on how to decide between AI automation or augmentation, shift the perception of data from cost to profit, and challenge the belief that insights alone are enough—sometimes, action is what’s needed to truly drive real value. 

I will also share how to:

  1. Download all the cheatsheets and much more.
  2. Find out where you stand with the Top Data & AI Leaders Challenge!
  3. Get personalised value driven coaching for you or your team.
  4. Get my books including the FREE (Anniversary Edition) of "Value Driven Data (the Workbook)".

Enjoy!

Edosa

AI as Automation vs. AI as Augmentation – Where Does AI Fit Best?

The first critical decision is determining whether to use AI to fully automate tasks or to augment human capabilities. Both approaches bring value, but the key is knowing which one fits best with your organisation’s needs.

What to Do:  

Use AI as Automation for tasks that are repetitive and rule-based, where the goal is to increase efficiency and reduce costs. Choose AI as Augmentation when the task requires creativity, judgement, and strategic decision-making, allowing AI to enhance human performance rather than replace it.

Why It Matters:  

Automation drives efficiency by handling routine tasks, while augmentation allows AI to work alongside humans, empowering teams to focus on complex problem-solving and innovative decision-making.

When to Choose:  

- Use automation when you need to scale repetitive processes and free up human resources.  

- Choose augmentation when you want to enhance human roles in creative, strategic, or highly variable tasks.

See the decision tree below for a detailed guide on deciding between AI automation and augmentation.

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