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Case Study · AI Mastery

A transformation advisor turned months of writing into an 85-page book in weeks

An 85-page executive publication on nine leadership capabilities, researched, drafted and produced with AI in weeks rather than months.

This author set out to write something serious for the people who carry organisations through change: CFOs, CIOs and transformation directors. Working with AI at every stage, they turned a sprawling body of research into a tightly built 85-page publication in weeks. It shows how a program skill can become a real working method, not just a shortcut.

Mariya Stefanova
A transformation and leadership thought-leader writing for CFOs, CIOs and transformation directors.

Building Capability Under Pressure

Before

The idea was ambitious: nine leadership capabilities for keeping transformation moving when structures strain. It meant pulling together behavioural science, organisational psychology, evolutionary psychology, leadership theory and habit formation, from Kahneman to Lencioni to de Waal. A publication like that would typically take months of research and writing.

“A publication that would typically take months of research and writing was produced at professional quality in weeks, ready for both direct client use and LinkedIn distribution to a targeted prospect database of transformation leaders.”

In their own words

The turning point

They made AI a partner at every step, not just at the end. It helped design the 3×3 capability grid that organises the whole book, check academic sources and statistics, and carry all nine chapters from first concept through multiple drafts. It also kept voice, terminology and structure consistent across 85 pages.

After

Co-authored with Arthur de Oude, "Building Capability Under Pressure" was produced at professional quality in weeks, in Word, HTML and PDF formats. It now sits within a wider thought leadership platform, including a companion series called Decision Architecture and a LinkedIn content pipeline, all made with the same method.

What it lets people do

Leaders facing integration, restructuring or operating model change get a clear map of nine capabilities to lean on when pressure builds. A diagnostic map in the synthesis chapter links organisational symptoms to specific capability gaps, so readers can see where to focus.

What they learned

AI works best as a collaborator across the whole process: structuring ideas, validating research and holding a long work together. With the right method, a project that once felt like months of solitary effort can become a repeatable way of producing serious work.

Building Capability Under Pressure was built during AI Mastery.

Read the full submission
"Building Capability Under Pressure" is an 85-page executive publication presenting nine leadership capabilities for sustaining transformation momentum when structures strain. Co-authored with Arthur de Oude, it targets CFOs, CIOs, and transformation directors navigating integration, restructuring, and operating model change. The AI-powered production process: The publication required synthesising research across behavioural science (Kahneman, Deci & Ryan), organisational psychology (Lencioni, Trompenaars & Hampden-Turner), evolutionary psychology (de Waal, van Vugt), leadership theory (Frei), and habit formation (Duhigg). AI was instrumental at every stage: — Framework design: AI helped structure the 3×3 capability grid (3 levels × 3 scales) that organises the entire publication — Research validation: verifying academic sources, cross-referencing publication dates, checking statistical claims (e.g., the McKinsey decision-making survey data) — Chapter development: iterating all nine chapters from initial concept through multiple drafts to final publication-ready text — Consistency management: maintaining voice, terminology, and structural patterns across 85 pages and 9 interconnected chapters — Multi-format production: generating the publication as Word document, HTML, and PDF — each format serving a different purpose in the content strategy — Diagnostic tools: AI helped develop the synthesis chapter's diagnostic map, connecting organisational symptoms to specific capability gaps This publication sits within a broader thought leadership platform that includes Decision Architecture (a companion series on how AI compresses decision-making) and a LinkedIn content pipeline — all produced using the same AI-powered methodology. Tools: Claude (primary), ChatGPT, Canva Impact: A publication that would typically take months of research and writing was produced at professional quality in weeks, ready for both direct client use and LinkedIn distribution to a targeted prospect database of transformation leaders.

Written 14 February 2026 Submitted by the storyteller

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