Former IDEO partner and founder of Food Genius (acquired by USFoods). Now co-founder of Remix Partners, helping 32+ companies operationalize GenAI across industries.
Justin Massa and Jason Rubinstein, co-founders of Remix Partners, join Stu Willson to unpack what it actually takes to move AI from scattered experiments into real operational change. Drawing on 32+ client kickstarts across industries, they cover why executive engagement is the single biggest success factor, how to use a simple three-tier deployment framework to prioritize where AI goes next, and what it means to make a business "agent-legible" — restructuring how information is stored so agents can navigate it without burning through overhead. They also walk through a manufacturing case study where a custom-parts company cut its RFQ turnaround time nearly in half.
Chapters:
00:00 – Intro
00:33 – Welcome & what Justin and Jason hope listeners take away
01:41 – Who are Justin & Jason / Remix Partners origin
03:19 – Jason's background and why they're doing this together
04:36 – Reflecting on the past year: what changed in the market
07:21 – What's driving the shift in appetite for AI
11:50 – Going wide vs. going deep on AI opportunities
12:55 – Data on AI adoption: where companies actually are
14:42 – Why small businesses are now advantaged over enterprise
15:39 – Operationalizing AI: the Remix kickstart approach
18:21 – Executive engagement as the #1 success factor
19:13 – Show and tell culture: banning secret cyborgs
21:33 – How the approach scales from SMBs to Fortune 25
23:56 – The leader's mandate: making time for AI
25:03 – What went wrong with other consultants
26:48 – The augment vs. automate framework
28:07 – Getting from automation to augmentation
30:33 – The jagged frontier and workforce implications
31:55 – How to navigate capabilities without a static view
33:35 – Deployment zones: Experiment / Pilot / Implement
35:29 – How zones shift quarterly / software stack decisions
37:50 – Manufacturing case study: the setup
40:26 – What they built (workbench in Claude Code, RFQ automation)
42:54 – Who was involved across the organization
44:27 – Impact: clock speed and capacity nearly halved
46:00 – How engineers' time was reallocated; revenue vs. headcount
47:33 – Agent legibility: what it means and why it matters
49:38 – Making your business agent-legible: the practical how
52:54 – This year we edit documents, we don't create them
53:32 – Where to start for a 50-person company
56:16 – Plug into your core work application and play
58:07 – What happens to companies that don't experiment now
59:11 – Playing to Win in an AI era: differentiation AND low cost
01:02:33 – Closing
📩 Subscribe for Weekly AI Insights & Case Studies: