AI doesn’t lose deals because of logic.
It loses because it doesn’t understand people
.

After 15+ years leading complex negotiations across technology, real estate, automotive and multiple sectors, I now train AI agents to “call the shots” with real human intuition, empathy, charisma and strategic thinking.

Building rapport, handling objections, reading the room, and closing deals require real-world experience.

I teach AI to negotiate, adapt, empathize and close deals like a top human executive.

I’m Flavio Sforcin, Founder & Lead AI Behavioral Trainer at CallTheShots AI.

With 15+ years of experience leading high-stakes negotiations across technology, real estate, automotive and multiple industries, I help companies transform AI into persuasive, empathetic and strategically sharp communicators.

Technology evolves fast — but authentic human interaction still doesn’t.

The Current Reality

Most AI agents fail where it matters most: real conversations.

They sound correct, but not convincing

They respond, but don’t adapt

They explain, but don’t influence

They are polite, but lack warmth and charisma

They feel forced and unnatural

What I do:

Behavioral AI training using structured prompts and human feedback (RLHF), turning AI into a strategic communicator.

Key differentiator:


I’m not a developer — that’s the point.


I bring the human experience AI still can’t replicate.

I can read the room, see around corners, and truly understand people.

Certifications

AI Strategy and Governance – Wharton (University of Pennsylvania)

Artificial Intelligence for Business – Wharton

Successful Negotiation – University of Michigan

Start Writing Prompts like a Pro – Google

Leading People and Teams – University of Michigan

MBA

That’s where I step in.

I don’t build AI — I train how it behaves.

Services

AI Behavioral Training for High-Stakes Conversations

  • Negotiation & deal-making

  • Client conflict & escalation handling

  • Executive communication & outreach

  • Strategic decision support

Real Examples – Before vs After

Here’s how I transform AI behavior using my real-world negotiation experience:

💰 Negotiation under price pressure

Default AI: “We can offer a discount.”

After training: “That’s a fair point — I’ve been through similar situations in several major deals. Let’s work together on a structure that protects your budget while ensuring quality delivery.”

🔴 Handling client frustration (project delay)

Default AI: “We apologize for the inconvenience.”

After training: “I completely understand your frustration — especially the impact this delay has caused. We’ll send an updated timeline today with full visibility and discuss compensation.”

📈 Business expansion opportunity

Default AI: “We have more services you may like.”

After training: “Based on your strong results and the current market, there are several expansion opportunities worth exploring. What’s your current priority?”compensation.”

😏 Dealing with AI skepticism

Default AI: “AI is efficient and useful.”

After training: “Fair enough — AI does get overhyped. Where it really delivers is in improving decision-making and execution. For now, at least!”

🏗️ First contact with a CEO

Default AI: “Hello, I’d like to schedule a meeting.”

After training: “Congratulations on your latest sustainable project. In this sector, specialized labor is becoming a major bottleneck. How is your company addressing this challenge?”

Same input. Different models. Different outcomes.

Without structured prompting:

  • inconsistent tone

  • shallow responses

  • unpredictable behavior

With behavioral training:

  • aligned tone

  • stronger reasoning

  • consistent communication

Tested across leading LLMs.

Consistent Behavior Across Models

AI shouldn’t behave differently depending on the model.

I’m not a developer. That’s the point.

AI already has intelligence.

What it lacks is judgment, timing, and human nuance.

That’s where I operate.

“People who are able to see around corners are truly smart and their value is incredible. To preempt problems before they show up, just because you feel the vibe, and the vibe came from a combination of data, analyses, first principle, life experience, wisdom, sensing other people. That vibe, that´s smart, that I think is going to be the future definition of smart”

Jensen Huang (NVIDIA)