AI Masterclass: Stakeholder analysis with AI - who is affected and what they really think

1️⃣ Introduction: The real problem

You are launching Project Y - perhaps an AI implementation, automation or a new digital product.

It all makes technical sense.

Strategically, it is well thought out.

And yet the following happens:

• Resistance from the specialist department
• Skepticism among management
• Uncertainty among employees
• Delays, even though "everyone has been informed"

Why?

Because you planned the project - but not the people behind it.

2️⃣ Why the problem remains

In practice, stakeholder analysis often looks like this:

• Excel list with "affected parties"
• A few categories such as "high/medium/low"
• A gut feeling about "support vs. resistance"

The problem:

• No real insights into concerns and motives
• No structured derivation of communication strategies
• No use of AI to scale the analysis

And this is precisely where a massive gap arises.

3️⃣ The concrete solution: AI-supported stakeholder analysis (4-step framework)

I'll show you a simple model that can be implemented immediately:

🔹 Step 1: Systematically identify stakeholders

Not just obvious groups:

• Those directly affected (e.g. sales, HR)
• Indirectly affected parties (IT, works council)
• Influencers (management, external partners)

🔹 Step 2: Simulate perspectives (use AI!)

Here comes the game changer:

You use AI to simulate stakeholder thinking.

→ What does this person really think?

→ What are their fears?

→ Where does resistance arise?

🔹 Step 3: Clustering worries & expectations

Typical categories:

• Job loss / fear of change
• Loss of control
• extra work
• lack of understanding
• lack of benefit

🔹 Step 4: Derive measures

For each group:

• Communication strategy
• Involvement
• Training
• Quick Wins

4️⃣ Practical example: Medium-sized company introduces AI in sales

Initial situation:

A company wants to use AI in sales:

• Automated quotation proposals
• CRM automation
• AI-supported lead evaluation

Problem:

Sales blocked.

Why?

"AI is taking control away from us."

🔍 Comparison of the use of AI tools

Now it gets exciting: you use different AI systems to better understand the stakeholders.

🟢 1. Google Gemini - Broad perspectives & structured analysis

Prompt:

You are an organizational psychologist. 

Project context: 
A medium-sized company introduces AI in sales 
(automation of offers, lead scoring). 
Analyze the following stakeholder group: 
Sales team (10 people, experienced, 
commission-driven). 

Tasks: 
1. What concerns could arise? 
2. what unspoken fears are there? 
3. what arguments could trigger resistance? 
4. how could this group be persuaded? 

Structure the answer clearly.

Result (typical for Gemini):

• very structured answer
• good breadth of perspectives
• solid argumentation logic
• somewhat generic, but good as a basis

👉 Strength: overview & structure

🔵 2nd ChatGPT / Copilot - practical & implementation-oriented

Prompt:

I implement AI in sales. 
Put yourself in the shoes of an experienced salesperson who works 
on a commission basis.  What does he really think about 
AI in sales? 

Give me: 

inner thoughts (unfiltered) 

concrete concerns 

typical statements in the team 

concrete measures to build trust

Result:

• Very realistic perspectives
• Concrete formulations ("This is taking away my deals...")
• Directly implementable measures

👉 Strength: proximity to reality + recommendations for action

🟣 3. anthropic claude - depth & empathy

Prompt:

Analyze the emotional perspective of a 
sales team when introducing AI. 

Context: 

medium-sized company 

commission-based work 

introduction of automation

Focus: 

emotional reactions 

implicit fears 

cultural factors 

possible misunderstandings 

Answer in a differentiated and reflective manner.

Outcome:

• Very in-depth analysis
• Strong psychological categorization
• Recognizes implicit tensions

👉 Strength: depth & empathy

🔄 Combination of tools (best practice)

The real leverage comes from combination:

1. Gemini → Structure & overview
2. ChatGPT → concrete implementation
3. Claude → psychological depth

👉 Result: 360° stakeholder understanding

5️⃣ Immediately implementable steps

If you want to apply this directly:

1. Choose a specific project (e.g. AI introduction)
2. Define 3-5 key stakeholder groups
3. Use this prompt stack:

👉 Step 1 (Gemini)

• Overview & structure

👉 Step 2 (ChatGPT)

• Concrete statements & measures

👉 Step 3 (Claude)

• Emotional depth

• Stakeholder matrix
• Risk analysis
• Communication plan

6️⃣ Strategic classification

If you do NOT do this:

• Projects don't fail because of technology - they fail because of people
• Resistance arises invisibly
• Change costs time, money and trust

If you do it RIGHT:

• faster implementation
• higher acceptance
• less friction
• real competitive advantage

👉 Companies that understand their stakeholders win.

👉 Recommendation

In addition to manual research, we have developed automated processes for you:

bloo.research - Find the right B2B companies in minutes

bloo.bid - Create offers in the time of an espresso.

🚀 Next step

If you not only want to understand AI, but also use it in a structured way in your company, then:

👉 Find out more about our AI training:
https://bloo.school

👉 Find out about our Smart Market Fit offers:
https://bloola.com/smf - The Smart Market Fit course
https://bloola.com/smf-system - The Smart Market Fit system for companies

👉 Or find out more about our consulting and automation solutions:
https://bloola.com