From Hype to Help: Embedding AI in Real-World Workplace Benefits

From Hype to Help & Everything In Between: Embedding AI into Real World Work- Place Benefit, by Robert Fawcett – Executive Technology Leader | Human CTO | Strategic Transformation Partner

Abstract
AI isn’t failing because the tech isn’t ready. It’s failing because we keep forgetting the people it’s meant to help.
This talk is a straight-talking guide to getting real-world value from AI—without the jargon, the dashboards, or the endless pilots that never land. It’s built around a simple truth: if the humans using it don’t trust it, understand it, or feel the benefit, it doesn’t matter how smart it is.
You’ll leave with a practical mindset shift, a ridiculously simple adoption model, and a few sharp stories where AI went from abstract idea to real-world impact—by focusing on what people actually needed.
Because the real advantage isn’t the AI.

It’s the people who know how to make it count.

Bio
Robert Fawcett is a technology executive with nearly 20 years’ experience leading digital, data, and infrastructure transformation across regulated sectors including healthcare, energy, telecoms, and government. Known for bringing clarity, stability, and strategic direction, he’s trusted by Boards and regulators to lead through complexity and scale.
Most recently Group Director of IT & Data at TAG, Robert delivered a multi-year transformation across cloud, AI, and service operations. Earlier in his career, he led the global delivery of a Blood Tracking System now deployed in 80% of NHS Trusts, ensuring life-critical traceability in hospitals across the UK and beyond. He also played a key role in building a national-scale identity and tourism AI platform in the Middle East.
Now operating as The Human CTO, Robert blends architectural vision with operational discipline—offering fractional leadership across AI strategy, product design, platform resilience, and executive technology direction. His philosophy is simple: technology should serve people, not the other way around.