Week 2
~4 min readDiagnosing the Outcome
Most reps pitch solutions before understanding the problem. This week, you will learn to categorize business problems, ask diagnostic questions that quantify impact, and position yourself as a trusted advisor instead of a product pusher.
Week 2 Deck
Walk through the slides used in the live session. Use fullscreen for the best view.
Companion Guide
AI Governance Discovery Call
A simple guide with real-world examples — what to ask, what to listen for, what to do next.
The Reframe
Stop selling AI. Start selling control.
The Four Questions That Open Every Call
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1
Where is AI already showing up in your environment — sanctioned or not?
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2
Who owns AI risk today — security, legal, data, or no one yet?
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3
What would a board-level AI incident look like for you?
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4
If we could give you visibility and control in 30 days, what would that unlock?
What you are listening for
Hesitation, finger-pointing, or "we haven't really thought about that yet." Each is a signal — the gap is real and the buyer knows it.
Three Examples — Same Call, Different Contexts
NVIDIA / AI Infrastructure
Opener
Your teams are buying GPUs and standing up models — but who governs how those models touch customer data?
Listen for
Vague ownership, infra-led pilots, no policy layer between data and models.
Next step
Position governance + observability as the control plane on top of compute spend.
Data & Analytics AI (Databricks, Snowflake)
Opener
You've consolidated the data — now AI is reading from it. How do you know what it's exposing?
Listen for
Heavy investment in the warehouse, weak controls on what AI agents and copilots can query.
Next step
Frame partner solution as the policy + lineage layer protecting the data estate.
Security AI (CrowdStrike, SentinelOne, Palo Alto)
Opener
Your stack defends the perimeter — but how are you defending against AI used by employees and attackers?
Listen for
Strong endpoint posture, no AI-specific runtime visibility, shadow GenAI in the workforce.
Next step
Layer AI-aware detection + acceptable-use enforcement onto existing security controls.
Naming the Gap — Exposure Summary
Summarize back what you heard as risk, not opportunity: "So today, AI is being used across your business, no one clearly owns the risk, and you don't have a way to see or stop a bad outcome before it hits the board. Did I get that right?" When they nod, you've earned the next meeting.
Closing the Call
If yes
Propose a 30-day governance assessment with a named exec sponsor. Bring the partner solution into the second meeting — not the first.
If no
Leave a one-page exposure summary and a calendar hold for 60 days out. The gap doesn't shrink — it grows.
The Rule
Never pitch product on a discovery call. Pitch the cost of doing nothing.
Quick Reference
| Context | Reframe opener toward | Risk language |
|---|---|---|
| AI Infrastructure (NVIDIA-led) | Control plane over compute and models | Unsanctioned model deployment, data leakage at inference |
| Data Platform (Databricks, Snowflake) | Policy + lineage on the data estate | Over-permissioned agents, untracked queries, IP exposure |
| Security AI | AI-aware detection and acceptable use | Shadow GenAI, prompt injection, insider misuse |
| Healthcare | PHI-safe AI usage and audit trail | HIPAA exposure, model hallucinations in clinical workflows |
| Financial Services | Model risk management and explainability | SR 11-7 / model governance gaps, regulator scrutiny |
Discovery Call
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The Business Problem Framework
A business challenge is the measurable distance between where a company is today and the outcome it needs to reach. Current State: what is broken, slow, manual, expensive, or risky right now. The Distance: the specific challenges preventing the company from reaching its desired outcome. This is what you are really selling. Future State: the business outcome the customer is trying to achieve. Your job is not to guess what the customer needs. Your job is to ask questions that make the distance to the outcome visible, quantifiable, and urgent. When you do this, the customer sells themselves on the solution.
Three Categories of Problems
Every business challenge you will encounter falls into one of three categories. Revenue Impact: unpredictable revenues, high customer abandonment, slow payments, missed market opportunities. Operational Efficiency: wasted cycles, decreased quality, manual activities, workflow silos, tasks that should be eliminated. Risk Mitigation: data security issues, governance issues, supply chain disruption, financial exposure, legal and compliance risk. The value of any AI solution maps to one or more of these: it increases revenue, increases efficiency, or decreases risk. If you cannot connect your solution to at least one of these, you do not have a sellable business case. Learn to identify the primary category early, because it determines how you frame every conversation that follows.
Diagnose, Don't Prescribe
The biggest mistake in selling AI? Prescribing a solution before understanding the desired outcome. Think of it like a doctor: you would never trust a doctor who wrote a prescription before asking about your symptoms. Yet most reps do exactly this. They walk into meetings with a pitch deck and a demo, ready to prescribe their product before understanding what the customer is trying to achieve. Your job is to diagnose first. Ask questions that uncover the scope, frequency, and cost of the distance between current state and desired outcome. How often does this happen? How many people are affected? What does it cost you each time? Only after you fully understand the outcome they need should you even mention your product.
The R/E/R Categorization
Once you have diagnosed a business problem, categorize it using the R/E/R framework: Revenue, Efficiency, or Risk. This is not just an academic exercise. The category determines your entire sales strategy. Revenue problems create urgency around growth and competitive positioning. Efficiency problems create urgency around cost savings and productivity. Risk problems create urgency around compliance, security, and business continuity. When you know which category a customer's pain falls into, you know exactly which questions to ask next, which stakeholders to involve, and which business case to build. The category with the most pain is your opening for the next conversation.
The Value Equation
Quantifying the distance to the outcome is not guesswork. Use the Value Equation: Impact = Frequency x Cost x Scope. Frequency: how often does the challenge occur? Daily? Weekly? Every quarter? Cost: what does it cost each time? In dollars, hours, or risk exposure? Scope: how many people, processes, or systems are affected? When you multiply these three numbers together, you get the annual cost of not reaching the outcome. That number is the foundation of every business case you will build. Example: a manual reporting process takes 4 hours per week (frequency), costs $75/hour in analyst time (cost), and affects 12 teams (scope). That is $187,200 per year standing between the customer and their desired outcome. Now you have a number that gets executive attention.
The Diagnostic Conversation
A great diagnostic conversation follows a natural flow. Start broad: "What is the biggest challenge your team is facing this quarter?" Listen for signals and categorize them (Revenue, Efficiency, or Risk). Go deeper: "How often does that happen? Who is affected? What does it cost you?" Quantify with the Value Equation. Reflect back: "So if I am hearing you right, this is costing your team roughly $X per year and keeping you from Y. Is that about right?" When the customer confirms your number, they have just sold themselves on the distance between where they are and where they want to be. You did not pitch anything. You asked questions. That is the power of diagnosis over prescription.
Key Takeaways
A business challenge is the distance between current state and desired outcome. That distance is what you are selling.
Every challenge falls into one of three categories: Revenue Impact, Operational Efficiency, or Risk Mitigation.
Use the Value Equation (Frequency x Cost x Scope) to quantify the distance to the outcome. A number gets executive attention; a vague complaint does not.
Diagnose before you prescribe. Ask questions that uncover scope, frequency, and cost before you mention your product.
The category with the most pain is your opening for the next conversation. Learn to identify it early.
Meet your AI Coach
Ask anything about this week's content—outcome-based discovery, the Bridge Framework, and more.