Tom Scott, CEO of Wrike, joins Stu Willson to walk through what he calls "the rebuild moment" — the actual operating playbook for a $250M+ ARR SaaS company navigating the AI transition from inside the seat. The conversation covers what's actually defensible in enterprise software when coding agents can clone a UI in a weekend, why most CEOs are sequencing the AI rebuild incorrectly, how Tom reversed his own delegation model to consolidate decision-making for speed, and what diligence questions PE investors should be asking that almost none are. Tom also walks through the J-curve of AI transformation inside Wrike's own engineering and marketing functions, including a marketing case study with concrete numbers (3x article output, 87% faster account research, 50–75% faster gated-asset production).

Chapters:
00:00 – Intro
01:00 – Who is Tom Scott / what is Wrike
02:11 – Should SaaS CEOs be bearish on SaaS in an AI world?
05:11 – Commoditization: what AI flattens vs. what survives
07:01 – What's actually defensible: "Know your customer"
08:51 – System of record vs. system of agency
11:02 – Accruing memory: where the value of agent training accrues
12:39 – What Wrike is doing internally: agency, MCP, governance investments
15:27 – Will Microsoft / OpenAI / Anthropic just own this layer?
17:50 – The future of seat-based pricing (and Apex)
20:25 – What "rebuild the company" actually means
23:43 – What happens to companies that don't rebuild
25:08 – Why hands-on personal disruption is non-negotiable
28:56 – The first thing Tom changed: his own approach
31:29 – The 5-step rebuild playbook
35:37 – AI's impact on engineering velocity (25% Q4 lift)
36:36 – Where most CEOs get the sequence wrong
38:30 – Inside Wrike's marketing transformation: real numbers
41:26 – Advice for $100M–$250M+ company CEOs starting today
42:51 – The leader asking you to slow down: how Tom responds
44:46 – Failure of imagination and the real source of resistance
47:30 – The PE playbook under pressure: new diligence questions
51:25 – ROI timeline and the J-curve in practice
54:39 – Offense vs. defense in an AI-disrupted category
56:02 – What separates the winners from the deconstructed
57:07 – Advice for CEOs over the next 12 months

Keywords: Stu Willson, Stuart Willson, Just Curious, Pluris, Tom Scott, Wrike, SaaS AI, enterprise software AI, AI transformation, work management AI, AI agents enterprise, system of agency, MCP infrastructure, governance AI, J-curve AI, seat-based pricing, AI pricing models, PE software AI, private equity software, CEO playbook AI, AI rebuild, personal disruption, subtract before add, mid-market SaaS

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