Notion in Practice
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Why AI Won’t Kill Consulting (But It Will Kill Busywork): Nick Tucker | Tim Jeffries & Jerwin Parker

Notion in Practice
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In Episode 5 of Notion in Practice, Jerwin and Tim sit down with Nick Tucker. He is an experienced management consultant, psychologist and people leader, driven by a desire to make the world a better place to work.

Nick shares how he uses Notion as the operating system for his consulting practice: a “second brain” that captures context, keeps the admin tidy, and makes work easier to deliver with partners.

This is not a hype episode. It’s a practical look at where AI is genuinely creating leverage, what still needs human judgment, and why adoption remains the hard part.

What we cover

  • Nick’s background (strategy, culture change, organisational psychology) and how he discovered Notion
  • Notion as a “second brain” that “keeps receipts”: admin + context + delivery
  • Why AI challenges the traditional consulting leverage model (and what replaces it)
  • The 4 workflow shifts: project management, meeting notes, pipeline/commercials, and IP management
  • Using AI for feedback/coaching via custom rubrics (discovery calls)
  • Adoption is still the hardest part: tools get deployed, but usage stays low
  • AI as a thinking partner (mental models + frameworks like Pyramid Principle)
  • What surprised Nick: inconsistency (“hungover graduate” days)
  • What’s next: “get the reps in” and keep feeding context as the system grows

Top takeaways (from the conversation)

  1. AI changes the consulting advantage: The differentiator moves from producing repeatable “deck work” to using good judgment. The real skill is deciding what’s useful from endless AI output.
  2. Notion works best as an operating system (not another tool): A flexible “second brain” that keeps your delivery, context, and admin in one place, built around how you think and work.
  3. Four workflow upgrades drive leverage: Project management (single source of truth), meeting capture (searchable conversations), pipeline/commercial tracking (accountability), and IP management (drafting guides faster).
  4. Use AI for feedback and coaching, not just tasks: Call-review rubrics and automatic retros help people improve without the social friction of “I’ve got feedback for you.”
  5. Adoption is the real bottleneck: The tools can be there, but if people do not use them, nothing compounds. Systems that make work easier win adoption.

Resources mentioned

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