Richard Skellett

Seeing through a four-dimensional lens

Richard Skellett doesn’t see AI as a technology trend or a productivity shortcut.
He sees it as a mirror, one that exposes how value, work, and control truly operate inside organisations.

His approach is architected in what he calls the Space Box; a four-dimensional lens that connects past, present, tomorrow, and beyond tomorrow.
It learns from the past, where forgotten lessons still matter.
It studies the present, where many organisations remain locked in Industrial-era logic.
It anticipates tomorrow, where most plans are merely extensions of today.
And it looks beyond tomorrow, because by the time the future arrives, it’s already legacy.

Through this lens, Richard views enterprises, vendors, and markets as living systems; evolving through time, pressure, and purpose.

Connecting six lenses; from macro to micro

Richard analyses every challenge through six interconnected lenses: macroeconomic, societal, investor and shareholder, organisational, functional, and individual.
Each reveals a different flow of value, and together they show how everything ultimately ends on the balance sheet.

That’s where technology, policy, and human behaviour leave their fingerprints and where enterprise debt and liability often hide.
He highlights how technology debt (from underperforming systems) and labour debt (from over-investment without value return) quietly drain productivity and free cash flow.
AI, when designed correctly, can make these hidden costs visible and fix them not through cuts, but through financial redesign.

Redesigning how the world measures value

Richard argues the world isn’t in “Industry 4.0” or “5.0.”
We’re in the Digital Revolution, a global reset in which over $115 trillion of GDP is being reallocated.
This shift is redefining how capital moves, how labour is valued, and how nations compete.

His mission is to redesign how the world measures value, helping organisations move from cost and budget logic to ROI and variable-cost logic.
He champions AI that is financially intelligent and ethically sound, creating generative systems that grow value without depleting people or resources.

The role he plays

At Bloor, Richard leads the Analyst, Research & Design, a function that bridges strategy and execution across industries.
He works with technology vendors shaping future products, enterprises reinventing operating models, and investors aligning capital with capability.

He created RADBOT, a lifecycle that turns research into operation through six stages: Research, Analyse, Design, Build, Operate, Transfer.
This adaptive process underpins Bloor’s frameworks:

• Mutable Business™ : the enterprise in a permanent state of reinvention.
• Mutable Operating Model : the structure for adaptive enterprises.
• Digital Functional Architectures (DFA) : intelligent systems that connect people, process, and data.
• FusionWork™ : Bloor’s model for human–digital collaboration, built on trust and original intelligence.

From “human in the loop” to “AI in the loop with the human”

Richard challenges the idea that humans must always supervise AI.
Instead, he sees a future where AI works alongside people, as a transparent, ethical collaborator that extends capability rather than replaces it.
In this model, digital workers become part of the formal workforce, designed, governed, and measured with the same intent as their human counterparts.

Why this matters

AI is reshaping not just how organisations work, but how economies are funded and how societies sustain themselves.
Handled blindly, it can deepen inequality and erode trust.
Handled wisely, it can rebalance the global economy, turning waste into reinvestment, aligning social good with shareholder value, and unlocking sustainable prosperity.
Richard believes the defining challenge of our time is to design operating models that are financially sustainable, ethically responsible, and humanly empowering.
Through his role at Bloor as CARD and the RADBOT lifecycle, he helps leaders turn that belief into reality, ensuring reinvention is not a one-off project, but the new normal.

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