Raj Goodman Anand
Founder & CEO, AI-First Mindset® | AI education and advisory for manufacturing and industrial leadership teams
London, United Kingdom
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Raj Goodman Anand is Founder & CEO of AI-First Mindset®, an AI education and advisory company that helps CEOs, business owners and leadership teams understand, adopt and implement AI, with a particular focus on manufacturing and industrial businesses. He is also Founder & CEO of Goodman Lantern, an international B2B content marketing agency where over 80% of the team are women. Raj's AI background predates the boom: his postgraduate research (MRes) focused on pathfinding algorithms, and he worked on ARCO, an EU-funded research project at the University of Sussex. His positioning is optimistic and practical: fundamentals first, then use cases leaders can deploy immediately.
Area of Expertise
Topics
AI on the Factory Floor: Agentic Systems in Scheduling, Maintenance, Quality and Procurement
The most valuable AI in industrial businesses is not the chatbot on the website. It is the agentic systems quietly handling scheduling, maintenance, quality checks and procurement, and it rarely makes headlines because it is unglamorous.
This session looks at where agentic AI is actually delivering returns in manufacturing and industrial operations, what separates a system that plans and executes from one that just answers questions, and why that distinction changes the ROI maths entirely.
Attendees will leave able to identify which operational workflows in their own business are candidates, what needs to be true before starting, and how to tell a genuine use case from a vendor demo.
Why AI Implementations Fail: What the First 90 Days Should Look Like
Most AI projects stall for the same reason. Companies buy the tool before they have defined the problem, and the technology is almost never the constraint. The organisation is.
Drawing on work with CEOs and leadership teams across manufacturing and industrial businesses, this session covers the failure patterns that repeat across every sector, and sets out what a first 90 days actually looks like when adoption is treated as change management rather than IT procurement.
Practical and evidence-led, including real risks such as failed rollouts, governance gaps and transition costs, without the doom-and-gloom framing.
AI Fluency as the New Baseline: Executive AI Education for Leadership Teams
AI fluency is becoming a baseline expectation for leadership in the same way financial literacy already is. Most leadership teams are not there yet, and the gap is widening faster than most hiring plans account for.
This session covers what leaders genuinely need to understand about AI, what they can safely delegate, and the three-question test for any AI output a business puts in front of a customer: what trained it, can you explain it, and who is accountable if it is wrong.
Fundamentals first, then use cases leaders can deploy immediately.
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