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The Executive AI Playbook: Exact Prompts That Transformed My Leadership Messaging (Part 2)

After a 10-year break (co-founding a startup and serving as Chief Customer Experience Officer at a dental 3D printing innovator), returning to solo consulting was daunting.

The challenge was clear: How could I articulate my unique value in an increasingly crowded and shrill market? Sound familiar?

In Part 1, I introduced the 3-Step AI Discovery Framework and how it distilled decades of expertise into powerful messaging for Verghis Group. Now, I’m pulling back the curtain to share the exact AI tools and prompts that transformed my approach.

👉 This isn’t about becoming an AI expert—it’s about using readily available tools to enhance strategic thinking and accelerate executive clarity.

No course to sell. No masterclass to join. Just practical frameworks you can implement today.

What You’ll Learn:

  • The specific AI prompts that revealed hidden patterns in my work
  • How to validate insights and reduce AI hallucination
  • Techniques to pressure-test messaging from an executive perspective

Step 1: Know What You Already Know

The Challenge: Extract hidden patterns from decades of executive interactions
AI Tools Used: Perplexity.ai & Google Gemini Pro

Intelligence Gathering Prompt:

"Perform a comprehensive analysis of Phil Verghis's intellectual footprint using:
1. PRIMARY PUBLIC SOURCES: Book 'The Ultimate Customer Support Executive', Business School case study with RedHat, keynotes (list specific talks/dates), presentations, newsletters (specify date ranges), LinkedIn posts (specify date range), published interviews, and press releases.
2. PRIMARY NON-PUBLIC SOURCES: Internal analysis, feedback from clients, reasons why prospects didn't start an engagement, interviews with past clients.
2. SECONDARY SOURCES: Industry analyses mentioning Phil, business school case study featuring his methodologies, and third-party evaluations.
For each source:
- Identify and categorize recurring conceptual frameworks
- Extract unique methodological approaches with specific examples
- Map the evolution of key ideas chronologically (1994-present)
- Compare against standard consulting paradigms with concrete examples
- Highlight contradictions or tensions within the body of work
Prioritize patterns that appear across multiple independent sources. Flag any conclusions based on limited evidence."

Reasoning: This prompt clarifies sources, demands examples, tracks idea evolution, and highlights contradictions—allowing me to make more informed decisions while avoiding jumping to conclusions based on bias.

Competitive Analysis Prompt:

"Conduct a systematic comparative analysis between Verghis Group's positioning language and:
1. TIER 1 GLOBAL CONSULTANCIES: Including but not limited to McKinsey, BCG, Bain (focus on their customer/service transformation practices)
2. RESEARCH LEADERS: Gartner, Forrester, Gallup (analyze their service leadership frameworks)
3. SPECIALIZED BOUTIQUES: [Insert 3-5 relevant specialized competitors]
For each comparison:
- Extract 10-15 industry-standard phrases/concepts that appear across multiple firms
- Identify language/concepts unique to Verghis Group versus each category
- Analyze semantic differences in how similar concepts are framed (e.g., 'transformation' vs 'evolution')
- Create a visual quadrant mapping positioning based on:
* Tactical vs. Strategic focus
* Process-oriented vs. Outcome-oriented language
* Technical vs. Humanistic emphasis
* Activity-based measures vs. Outcome-based measures
Recommend specific language refinements with before/after examples, explaining your rationale for each change."

Reasoning: This prompt provides a structured, insightful analysis rather than a generic comparison. By categorizing competitors, focusing on relevant practice areas, and demanding clear recommendations, it helps me quickly grasp what truly matters.

Academic Research Prompt:

"Conduct cross-disciplinary academic analysis intersecting with Verghis's expertise:
1. PRIMARY DOMAINS: Leadership studies, change management, service systems
2. ADJACENT DOMAINS: Behavioral economics, complexity science, organizational psychology
For each domain:
- Identify 3-5 seminal theoretical frameworks from peer-reviewed sources (2015-present)
- Extract methodological approaches with empirical validation
- Map connections to Verghis's core concepts, noting both alignments and contradictions
- Identify academic blind spots that practitioner perspectives might address
Create a visualization showing knowledge intersections across disciplines.
Evaluate the strength of evidence behind each framework using:
- Sample size/diversity considerations
- Methodological limitations
- Replication status
- Real-world application validity
Particularly examine research from: [list specific researchers/universities if relevant]"

Reasoning: This prompt goes beyond surface-level insights. By focusing on domain-specific, evidence-backed analysis and identifying blind spots, it helps me avoid misleading trends, make informed decisions, and gain a deeper, more accurate understanding of the topic.

Industry Attention Mapping Prompt:

"Map the evolution of industry priorities by analyzing:
1. CONFERENCE CONTENT: Agendas from [list 5-7 specific conferences] over the past 36 months
2. THOUGHT LEADERSHIP: Panel discussions, keynote themes, and executive roundtables
3. DIGITAL DISCOURSE: Trending topics across industry blogs, LinkedIn groups, and specialized forums
For each source:
- Quantify topic frequency using 8-10 standardized categories
- Track longitudinal shifts in emphasis (what's gaining/losing attention?)
- Differentiate between aspirational themes versus practical implementation topics
- Identify language discrepancies between vendor positioning and practitioner concerns
- Locate unexpected topic intersections that create opportunity spaces
Create a heatmap visualization showing attention intensity across topics and time.

Reasoning: This approach cuts through marketing noise, offering clear, unbiased insights. By highlighting gaps between vendor promises and real-world use, it helps me better see what is missing.

BREAKTHROUGH from Step 1:

BREAKTHROUGH from Step 1: AI uncovered my true value proposition: It isn’t about transformation (like everyone claims). It’s about providing leaders with their strategic direction —a compass, not transient maps— and building resilient teams that execute simple next steps to measurable outcomes.

Step 2: Validate, Don’t Hallucinate

The challenge: Reduce hallucination with verified links, and synthesize them into an actionable narrative
AI Tool Used: Google NotebookLM

The approach:

  1. Created a centralized repository of all verified data from Step 1
  2. Developed synthesis prompts to identify patterns and connections
  3. Used this to build a strategic communication architecture based on verified insights only

Synthesizing for Impact Prompt:

"Using ONLY the verified documents provided, construct an evidence-based messaging architecture:
1. DOCUMENT MAPPING PHASE:
- Create a cross-reference matrix linking key concepts to specific sources
- Weight evidence based on source credibility (establish clear criteria)
- Identify information gaps requiring additional verification
2. INSIGHT EXTRACTION PHASE:
For each potential messaging component:
- Present the precise claim with source attribution (document/page/paragraph)
- Rate evidence quality on a 5-point scale with explicit criteria
- Triangulate with at least two independent sources where possible
- Flag claims supported by limited/single sources
- Document your reasoning process behind each conclusion
3. PATTERN RECOGNITION PHASE:
- Identify recurring themes across multiple high-quality sources
- Map concept connections using network analysis visualization
- Test alternative interpretations of the same evidence
The final framework should separate:
- Tier 1: Strongly evidenced claims (multiple high-quality sources)
- Tier 2: Moderately supported claims (limited but quality sources)
- Tier 3: Preliminary insights requiring further validation
For each tier, articulate specific value propositions and narrative opportunities."

Key Insight from Step 2:

NotebookLM helps by allowing you to limit its analysis to only the sources you provide, ensuring that the information it processes is reliable and verified. By feeding it trusted sources, you can guide it to do a more structured and focused synthesis of the material. This controlled approach ensures that the analysis stays grounded in accurate data, which can then be used to craft clear and effective messaging based on solid, trustworthy insights.

Step 3: Pressure-Test Messaging & Content

The challenge: How do we create messaging that truly resonates with results-driven executives?
AI Tools Used: ChatGPT & Claude.ai

The technique:

  1. Pressure-Testing Messaging: AI was prompted to analyze messaging from a skeptical executive’s perspective
  2. Style Consistency: Claude analyzed my 2004 book “The Ultimate Customer Support Executive” to capture my writing style
  3. Iterative Refinement: AI-assisted adjustments ensured differentiation and clarity

Key Prompts Used:

Synthesizing a Unique Voice:

"Analyze Phil Verghis's authentic communication patterns across multiple contexts:
1. STYLISTIC ANALYSIS:
- Extract 15-20 distinctive linguistic patterns from 'The Ultimate Customer Support Executive' and his newsletters and LinkedIn Posts.
- Identify tone shifts between different audience contexts (C-suite vs. practitioners)
- Map vocabulary preferences and avoidance patterns
- Analyze sentence structure, paragraph flow, and rhetorical devices
- Document metaphor/analogy preferences and unique phraseology
2. PERSONA CALIBRATION:
Compare the 'Friendly Advisor' tone against six dimensions:
- Formality spectrum (where does Phil naturally position?)
- Technical depth vs. accessibility balance
- Directness vs. nuance in recommendations
- Use of personal anecdotes/experiences
- Questioning patterns and dialogue approaches
- Expression of certainty vs. tentativeness
Create a voice calibration guide.

Reasoning: This prompt goes beyond basic style analysis, tracks specific language patterns, builds a clear model of communication style, and provides examples and tools for consistency.

Refining the Core Message:

"Based on the validated insights and voice calibration, create a modular messaging system:
1. CORE NARRATIVE COMPONENTS:
For each validated differentiation point:
- Craft 3 expression variations at different word counts (25/50/100)
- Create situational adaptations for different stakeholder perspectives
- Develop progressive disclosure layers (headline → brief explanation → full articulation)
- Link to specific evidence points from source materials
2. MESSAGE ARCHITECTURE:
- Design message sequences for different communication contexts
- Create connection language between components
- Develop response frameworks for anticipated objections/questions
- Build narrative arcs showing cause-effect relationships in Verghis's approach
Each message component should be tagged with:
- Appropriate communication channels
- Target audience segments
- Strategic objectives served
- Evidence strength classification
Balance strategic authority with approachable wisdom throughout."

Reasoning: For this prompt, I asked different LLMs to generate how it would get to the outcome I wanted. As you can see, this is further out of my domain expertise, but this was a start.

Testing for Authenticity:

"Evaluate the messaging framework through the lens of executive skepticism:
1. SIMULATE THESE EXECUTIVE PERSPECTIVES:
- Pragmatic CFO focused on measurable ROI
- Change-resistant CXO who has seen consultants fail
- Tech-oriented CIO seeking specificity over generalities
- CEO balancing short-term results with long-term vision
2. FOR EACH PERSPECTIVE:
- Flag specific phrases likely to trigger skepticism
- Identify missing evidence that would address core objections
- Highlight jargon that may create comprehension barriers
- Assess perceived specificity/actionability
- Rate persuasiveness against competing priorities
3. IMPROVEMENT FRAMEWORK:
- Provide side-by-side rewrites addressing each skeptical viewpoint
- Suggest additional evidence/examples that would strengthen credibility
- Create decision-making frameworks that respect executive constraints
- Balance aspiration with pragmatism
Document your simulation methodology to expose potential blind spots."

Reasoning: This prompt evaluates messaging from executives’ perspectives, tests skepticism from multiple angles, identifies specific improvement opportunities, and documents the analysis methodology. I complement this executive-focused analysis by running similar tests from the practitioner perspective as well.

Putting This Framework into Action

And that’s a wrap on the 3-Step AI Discovery Framework, complete with the exact prompts I’ve used. This method takes you from raw data to impactful messaging, ensuring every step is backed by careful validation.

The AI tools mentioned continue to evolve, but the fundamental approach remains consistent: using AI as a thinking partner to surface patterns, validate insights, and test messaging effectiveness.

This isn’t about replacing strategy—it’s about augmenting it. The aim is to achieve clarity faster, all while keeping your authentic voice and expertise intact.

How Could This Serve You As a Leader?

I’d love to hear your thoughts: Where could this framework elevate your leadership communication?

  • Rallying alignment around key strategic initiatives?
  • Refining how you highlight your team’s unique strengths?
  • Navigating complex changes with skeptical stakeholders?

The leaders making the greatest strides with AI aren’t always the tech experts—they’re the ones asking the right questions. Try adapting these prompts to your own situation and see where it takes you.

Let’s Continue the Conversation

  • Head over to VerghisGroup.com for real-world applications of these ideas
  • Connect with me on LinkedIn for fresh leadership insights
  • Share your experience: What prompt resonated most with your leadership challenges?

Leadership doesn’t have to be a solo journey. With decades of experience guiding executives through complex transformations, I’d love to help you tackle your unique challenges. Together, we can explore how these strategies can make a meaningful difference in your leadership journey.

If you found value in these prompts, I’d appreciate your thoughts in the comments below. Which prompt do you think would be most valuable for your specific leadership challenge? Or share this article with a colleague who might benefit from these AI frameworks.

#AIForExecutives #AIPromptEngineering #ExecutiveLeadership #BusinessInnovation #StrategicAdvisory #ServiceLeadership #AITransformation #ExecutiveSuccess #BusinessStrategy #LeadershipInnovation #AIToolsForBusiness #FutureofWork #StrategicMessaging


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