Episode 164: AI Implementation: Why people and process matter most - Soma Chakraborty
Gaule's Question TimeShow Notes
What turns an AI experiment into useful organisational change?
Andrew Gaule talks with Soma Chakraborty about practical AI implementation, drawing on her experience across biomedical research, machine learning, healthcare programmes and industry projects. The discussion explores why organisations should begin with genuine business pain points, understand their data maturity and then redesign workflows around the respective strengths of people and AI. Examples include financial forecasting, engineering knowledge, procurement and healthcare.
To discuss you business change and AI benefits contact Andrew Gaule
Chapters 00:00 Introduction 00:52 Soma's background in data and AI 02:34 Why AI should start with a pain point 03:37 Why data maturity matters 05:45 Using AI across organisational documents 07:07 AI and monthly financial forecasting 10:50 Why automation alone misses the opportunity 12:56 AI in procurement 14:02 People, adoption and human-in-the-loop design 17:01 Reducing fear and building confidence 18:40 Trust in AI outputs 19:41 Proofs of concept and enterprise adoption 22:00 Closing thoughts
If you are leading AI strategy or implementation, identify one process where AI agents could create better data, reduce manual effort or change the economics of the work. Contact Andrew Gaule to discuss a practical pilot.
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