Identify the most impactful AI use cases and develop a roadmap

The Need to Empower Your Workforce for AI

AI Failures due to lacking of AI strategy, talent and culture

Whether you’re new to AI or well into your transformation journey, one crucial factor that is often overlooked is the importance of empowering your workforce with AI training. The statistics speak for themselves: a staggering 85% of AI projects fail due to inadequate strategy, lack of talent, and cultural challenges. This underscores the urgent need for organisations to provide AI training to their employees, while also building a data-centric culture that supports impactful change.

As someone who has witnessed firsthand the failure of numerous AI projects, I know that successful AI transformation is about more than just technology – it’s about culture and people too. With only 1-2% of AI projects succeeding in finance and healthcare due to regulatory requirements, legacy infrastructure, and talent shortages, it’s important that your organisation equip its leaders, management, business, and frontline staff with the knowledge and skills needed to explore AI opportunities or embrace AI transformation.

Only 1% of AI projects succeed due to lack of AI Training

Passionate about helping organisations succeed in AI with AI use case workshop

Maximise Value and Minimise Risk

I will work with you and your team to unlock the potential of AI and accelerate your digital transformation journey. I will guide you through the process of identifying the right AI use cases and provide customised recommendations based on your business needs and goals. By the end of the workshop, you’ll have a clear understanding of the AI use cases that will drive maximum impact and value for your business.


Top 23 global expert in AI and Innovation


Leaders, staff & managers trained


Scientific research publications & conferences


AI Use cases researched

Helping you to identify potential use cases for AI that could benefit their business

Typical Use Case Workshop

1. Identify business challenges

The first step is to identify the business challenges that could be solved using AI. This could involve brainstorming sessions, data analysis, and input from stakeholders across different departments.

2. Define the problem

The first step is to identify the business challenges that could be solved using AI. This could involve brainstorming sessions, data analysis, and input from stakeholders across different departments.

3. Ideate potential solutions

The next step is to brainstorm potential AI solutions that could address the problem. This could involve researching existing AI solutions or developing custom AI algorithms.

4. Evaluate feasibility

After ideating potential solutions, the next step is to evaluate the feasibility of each solution. This could involve assessing the technical requirements, data availability, and cost of each solution.

5. Prioritize use cases

Based on the feasibility assessment, the next step is to prioritize the AI use cases that have the highest potential for impact and feasibility.

6. Develop a roadmap

Finally, the AI use case workshop should result in a roadmap for implementing the prioritized AI use cases. This roadmap should include timelines, resource requirements, and metrics for measuring success.

Customised AI workshops to help you maximise your ROI

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Testimonials for AI training & workshop

Uzir Waheed

Thanks Anandhi, was lovely getting your insights into Human Centered AI frameworks.

Hussain Alamri

Excellent session Anandhi. Thank you

Wesley Francis

It was quite exciting to know your perspective and vision for the future. I assist with similar advisory of AI in my space and am so humbled by your background and expertise. It’s inspiring!

Priyanka Sukraj

I would like to thank you for the AI literacy session you hosted today, I thoroughly enjoyed it and learnt so much. It is also very inspirational to see your passion for AI advancements.

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