Agentic AI transformation
AI Agents
Agentic AI as operating model — for manufacturers, banks, and the companies a nation’s growth actually depends on.
Four titles · Leanpub
A transformer is not a bigger lookup table. Attention lets software leave the concrete token and move toward an abstract relation — and, in an agent, toward a goal. That is agency in a machine: freedom from boxed categories, so the system can act in the seams a company actually runs on.
Most enterprises have digitised their functions without digitising the coordination between them. These books are the operating-model translation of that fact — what changes when software can pursue a goal in the plant, the ledger, and the missing middle, and why most pilots never reach production.
From Transformers to Agents
How software learned to pursue goals
From the mechanics of attention to the boardroom question that matters: what changes when software can set its own sub-goals and act on them. Second edition, expanded through 2026 — including why most enterprise pilots never reach production.
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The Hidden Factory
Agentic AI and the new operating model
For the leadership team of a manufacturing business: five centuries of how factories were organized, a plain-language account of what a large language model actually does, a three-tier agent architecture, and a full financial translation for the board.
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The Hidden Ledger
A target operating model for agentic AI in banking
Written for people who run banks, not people who build models. The real claim of agentic AI is not a smarter chatbot — it is software that can operate in the seams between sales, credit, compliance, and treasury, at the pace the business actually requires.
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The Missing Middle
How agentic AI can reach the companies Malaysia’s growth depends on
Not the USD 300 million companies global consulting already serves — the RM20 million manufacturer whose indirect staff still bridges four systems by hand. A numbers-based case for what has to happen, and by whom, if the missing middle is to compete.
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