Voices of Search Podcast

Episode: 5 Ways to Make Your Organization AI-Ready Without a Million-Dollar Rollout

Date: March 2, 2026
Host: Jordan Cooney
Guest: Steve Wonker, Managing Director at New Markets Advisors

Episode Overview

This episode explores organizational readiness for AI with an emphasis on structure, workflow, and psychological safety—moving beyond the “bolt-on” approach to genuine, transformative change. Guest Steve Wonker, an expert in AI-driven transformation and author of AI and the Octopus Organization, draws on real-world corporate examples to reveal why AI’s success hinges less on tools and more on rethinking the way teams function. Listeners gain practical strategies for driving value, addressing workplace fears, and empowering frontline innovation without losing sight of the bigger picture.

Key Discussion Points & Insights

1. The Problem with "Bolt-On" AI (00:43–06:04)

• Adoption vs. Transformation: Despite the widespread adoption of AI tools, very few companies redesign workflows to truly capture AI’s value.
  • “Most teams have AI, but very few have changed how work actually gets done. ...Old hierarchies, old incentives, old approval chains, all quietly rejecting new intelligence.” — Jordan Cooney [00:43]
• J&J Case Study: Johnson & Johnson ran 900+ AI pilots; only 15% delivered 85% of total value.
  • “A lot of this magic AI dust … may create some efficiencies … it often creates more work on the back end. ...If you're not changing the system of work, you're probably not creating a whole lot of value.” — Steve Wonker [04:18]
• History Parallel: Wonker draws a comparison to the slow productivity gains when factories simply replaced steam engines with electricity, noting that huge productivity jumps came only with new operational models.

2. Tools vs. Organizational Shift (08:04–09:51)

• Point Solutions Flood: There’s a surge in hyper-focused AI utilities, but most long-term value lies not in the tools themselves but in integrating them into workflows and changing behavior.
  • “What you really are doing is changing your workflow and the tool is only one part of that overall process.” — Steve Wonker [08:37]

3. Building Cross-Functional AI Teams (09:51–12:08)

• Not a Job for Project Managers Alone: Prioritize areas for AI and attract internal volunteers to champion initiatives.
• Agile, Horizontal Approach: Cross-functional, product-manager-like roles are key; focus more on embedding AI into workflow than creating the tools themselves.
  • “You need cross functional representation to think about workflows in a cross functional way. ...It's a much more horizontal approach.” — Steve Wonker [10:25]

4. The "Octopus Organization" Framework (12:42–16:20)

• Decentralizing Intelligence: Inspired by octopus biology—9 brains (central + each arm), enabling local autonomy but connected via “nerve ring.”
• Marketing Example: Marketing teams leverage AI for self-service tools, enabling non-marketers to generate materials (e.g., department brochures), freeing marketers to focus on big initiatives.
  • “You’re devolving authority and you’re enabling people to sort of know what’s going on in the organization without getting super duper involved in it for each project.” — Steve Wonker [14:48]
• Balancing Control: Use guardrails (“what you can't do”) rather than rigid rules (“what you can do”)—“Navy pilot” vs. “Air Force pilot” analogy.

5. Systemic Change & The Three "Hearts" of Organizations (17:30–21:53)

• Three Organizational Hearts:

  • Analytical: Governed by rules; rigorous control (e.g., nuclear submarine).
  • Agile: Flexible, adapts dynamically (e.g., Navy carrier pilot).
  • Aligned: Focused on people’s feelings and larger system health.
  • "Organizations need the same thing [as an octopus]: analytic heart ... agile heart ... aligned heart." — Steve Wonker [18:28]

• Fences & Freedom: Using playground studies, Wonker illustrates that clear boundaries actually expand effective freedom—set limits so employees confidently explore all available ground.

6. Organizational "Antibodies" & Overcoming Internal Resistance (22:36–27:31)

• Invisible Resistance: Organizational antibodies can insidiously block AI innovation, often by shifting or hiding work rather than truly changing it.
• Focus on Business Goals: AI should be an enabler of strategic objectives, not an end in itself.
  • “It's less about the fear of the Terminator ... but it's more how do we accomplish this. And then AI is actually a real accelerant of change that people actually want to accomplish...” — Steve Wonker [23:40]

7. AI, Layoffs, and Productivity Myths (24:14–27:31)

• AI and Job Cuts Myth: “AI-driven” layoffs are often a corporate PR tactic rather than reality; true value comes from using AI to free up people to do higher-value work, not just cutting headcount.
  • “It doesn’t mean that we need fewer doctors. It means they’re actually practicing medicine better... They're more satisfied, the patient's more satisfied.” — Steve Wonker [26:06]

8. Stopping Ineffective Initiatives: ABCs of AI Adoption (29:38–31:12)

• Think Like a VC: Ruthlessly prune “zombie” projects; use portfolio management to focus on what really works.
  • ABCs of AI Adoption:
    • A: AI-ify the present (small efficiency wins)
    • B: Become great at experimentation (with clear measures and kill-criteria)
    • C: Create the future (prioritized, transformative initiatives)
  • “You can't do the whole organization at once, but you can do it in prioritized tranches.” — Steve Wonker [31:08]

9. Leadership’s Role in AI Transformation (33:41–35:46)

• Aspiration, Mechanisms, Culture: Leaders must set clear goals, create mechanisms to implement change, and shape a supportive culture—every manager is now a “change manager.”
  • “Everybody in my organization who has direct reports needs to become a change manager. ...That was such a simple and profound thought that I think a lot of organizations haven't fully embraced yet. But they need to.” — Steve Wonker [35:38]

10. Macro and Micro AI Changes (36:58–39:46)

• Micro Moments Matter: Empower frontline staff for small, impactful changes (e.g., sales reps dictating notes post-visit); top-down and bottom-up change should work together.
  • “Sometimes the micro changes are actually really easy to do and they're going to be very impactful, but they haven't happened.” — Steve Wonker [37:24]

11. Psychological Safety & Cross-Functional Design (41:02–42:51)

• Pitfalls of Surveillance: For AI to be embraced on the front line ("sales coaching tool" example), employees must trust that data collection isn’t punitive but is a tool for collective improvement.
  • “Listening in on every conversation and then provide notes ... That went right to the trash folder. Nobody wants coaching on every single conversation that they have. ...It's going to make them paranoid….” — Steve Wonker [41:36]

12. Diagnostic Questions for AI Readiness (43:30–45:03)

• The “Can’t, Won’t, Shouldn’t” Framework:
  • What can’t humans do? (e.g., real-time detailed workshop summaries)
  • What shouldn’t they do? (e.g., doctors typing notes during consults)
  • What won’t they do? (tasks that simply won’t get done without AI)
  • “Can't, won't, should. Those are the three things you need to think about in terms of the full potential for AI in an organization.” — Steve Wonker [44:34]

13. Measuring Impact (49:28–50:57)

• Importance of Metrics: Successful AI implementation means pre-defining business objectives and measuring clear before-and-after outcomes (e.g., patient recall, doctor satisfaction, process cycle time).
  • “What you want to do is have the business objective defined and then the pre and post measures. ...AI doesn't uniformly create efficiency, right? So it might increase work in some areas, but they could also then look at the net of that.” — Steve Wonker [49:59]

Notable Quotes & Memorable Moments

• “We use the analogy of the octopus because it has a biology which is utterly weird to us humans. ...It’s a wonderful analogy for how AI decentralizes intelligence and creates this fluid flow of information.” — Steve Wonker [12:42]

• “Treat people like Navy pilots, not Air Force pilots.” — Steve Wonker [16:20]
  (Regarding flexibility vs. rule-based control)

• “Organizations have antibodies … some of which are obvious, some insidious. ...It's those insidious obstacles that are often the greatest.” — Steve Wonker [22:36]

• “Everybody becomes a change manager.” — CTO of a large insurance firm (paraphrased by Steve Wonker) [35:41]

• “If you don't have good data, you don't have good governance guardrails or systems, then you probably want to attend to some of that first.” — Steve Wonker [52:33]

• “AI is breaking the belief that it was going to wipe out a ton of jobs. ...I think we need to think about what we really want as companies. It isn’t necessarily just to chop heads, it’s to be more productive.” — Steve Wonker [54:03]

Timestamps for Key Segments

• Bolt-on AI vs. Real Transformation: [00:43]
• J&J AI Pilot Outcomes: [04:18]
• Tools vs. Change: [08:37]
• Building Cross-Functional Teams: [10:25]
• Octopus Org Model: [12:42]
• Control & Navy Pilot Metaphor: [16:20]
• Three Organizational Hearts: [18:28]
• Invisible Resistance (“Antibodies”): [22:36]
• AI and Layoff Myth: [26:06]
• ABCs of AI Adoption: [31:08]
• Leadership Role: [33:41]
• Micro & Macro Change: [37:24]
• Psychological Safety & Trash Folder Incident: [41:36]
• Diagnostic Questions: [44:34]
• Impact Measurement: [49:59]

Key Takeaways for Organizations

• AI transformation requires rethinking workflow, structure, and cross-functional teaming—not just introducing new tools.
• Psychological safety & clear communication are critical to frontline adoption.
• Ruthless focus, governance, and measurement ensure value from AI innovation.
• Leadership must shift from delegating change to IT to taking responsibility for clarity, culture, and sustained experimentation—"everybody becomes a change manager."
• Consider both macro transformations and micro improvements to fully realize AI’s potential.