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Jeff Tehan on Using AI Tools to Reduce Uncertainty with Sensemaking

Business decision making always involves imperfect information and dynamic situations. Sensemaking uses AI to reduce uncertainty in business decisions.

sensemaking is the discipline of using AI to reduce uncertainty and improve decision making

Sensemaking - The Power of AI to Reduce Uncertainty in Business Decision Making

jeff-tehan-on-how-industrial-manufacturers-can-turn-to-sensemaking-to-improve-decision-making

Jeff Tehan started his career in the Army, ultimately spending many years as a Blackhawk helicopter pilot.

His civilian career has focused on product management in a number of instrument and test equipment companies.

And in many ways both of those pursuits primed him for his interest in sensemaking. Both require making decisions in complex environments with imperfect and incomplete information.

And that's Jeff's passion now - using the power of AI to analyze data to reduce uncertainty through the process of sensemaking.

Tune in to hear more about this emerging discipline and how an early practitioner thinks about it.

Connect with Jeff for his thoughts on Sensemaking.

  

Sensemaking and AI to Reduce Uncertainty - Jeff Tehan on Industrial Growth Institute Episode 66

 

Show Transcript

Episode Recap

Summary

sensemaking-and-how-manufacturers-can-use-ai-to-reduce-uncertainty

Jeff Tehan, a former Army Blackhawk pilot, technology product manager and "sensemaking evangelist," joins Ed Marsh in the studio to discuss navigating business uncertainty in the AI era. Jeff brings a unique perspective shaped by his military aviation background and extensive product management experience, now focused on helping leaders interpret uncertainty, align teams, and make insight-driven decisions using AI tools.

The conversation explores how AI can help reduce uncertainty in business decision-making while acknowledging the meta-level uncertainty that AI itself creates. Jeff emphasizes the importance of "human in the loop" approaches and explainable AI, arguing that AI should enhance human capabilities rather than replace them. The conversation highlights:

  • The challenge of making decisions amid unprecedented uncertainty and rapid change
  • How AI can help process vast amounts of data to reduce uncertainty in business decisions
  • The importance of distributed decision-making and human oversight in AI implementation
  • Practical applications of AI in sales qualification, customer insight, and marketing personalization
  • The evolution from traditional sales pitches to insight-driven customer engagement
  • Strategies for helping teams embrace rather than fear AI adoption
  • The concept of "sense-making" as a critical leadership capability in the AI economy

Takeaways

  • Uncertainty reduction is the key goal: AI's primary value lies in helping leaders process information to reduce uncertainty and make confident decisions
  • Human-in-the-loop is essential: AI should augment human decision-making, not replace it entirely
  • Explainable AI builds trust: Teams need to understand how AI tools work and what data they use to embrace adoption
  • Distributed decision-making becomes possible: AI enables decisions to be made at the point of need rather than flowing up the chain
  • Top performers will benefit most: High achievers will leverage AI tools to enhance their capabilities, while those resistant to change may be left behind
  • Sales must shift from pitch to insight: Successful salespeople will use AI to understand customers deeply and co-create solutions
  • Buyer personas can be enhanced with AI: Marketing teams can create more sophisticated, personalized buyer avatars using AI analysis
  • Strategic planning improves with AI research: Business planning becomes more powerful when AI handles underlying research and analysis
  • Validation is crucial: Always verify AI outputs using multiple sources or human judgment
  • Leadership starts with self-assessment: Leaders must first understand their own capabilities and gaps before implementing AI across their organization.

Takeaway Quotes from Jeff Tehan

  • "Reducing uncertainty has been handed to us with AI"
  • "People first, human in the loop. We're not developing robots to do humans' jobs."

Outline

00:00 Introduction: Making Sense of Chaos in the AI Era
02:21 Jeff's Background: From Radar Repairman to Sense-Making Evangelist
08:10 Military Aviation Lessons for Business Uncertainty
10:00 The Science of Reducing Uncertainty
12:49 From Product Management to AI Strategy
16:10 Jobs at Risk from AI Disruption
18:08 Explainable AI and Building Team Confidence
20:27 Avoiding AI Implementation Pitfalls
24:22 The Rise of Sense-Making as a Buzzword and Capability
27:07 AI's Dual Nature: Clarity Tool and Uncertainty Creator
30:20 Corporate Attributes for AI Success
34:07 The Value of Planning Process vs. Plans in AI Era
37:19 Legacy Software Companies vs. AI-Native Platforms
39:27 Integrating AI into Existing Workflows
42:12 Using AI to Understand Buyers Better
45:45 AI Sales Agents and Deal Qualification
48:39 Creating AI-Powered Buyer Personas
52:29 Data Challenges in B2B Sales
55:20 Helping Buyers Make Sense of Their Situation
58:31 Co-Creating Value in the AI Era
01:00:36 Navigating Rapid Change While Maintaining Fundamentals
01:01:55 Training Future Leaders in Sensemaking
01:03:23 The Future of Office Collaboration with AI
01:04:38 Resources for AI Leadership Development
01:07:12 Adopting Sensemaking in Daily Work

 

 

 

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Ed Marsh
Ed Marsh
Ed Marsh is an independent board director, NACD Governance Fellow, and founder of Ed Marsh Consulting, which helps private equity sponsors and industrial manufacturers drive organic revenue growth. He hosts the Industrial Growth Institute Podcast and writes at edmarshconsulting.com.
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