Fillable Template

AI Demo Script Template

The proven Problem → Solution → Demo → Ask framework used by top AI founders to close deals and raise funding.

The PSDA Framework

Problem

Solution

Demo

Ask

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Step 1: The Problem

Start with a relatable pain point. Make them feel the problem before showing the solution.

Tips

•Use a specific, vivid example
•Quantify the pain ($, time, frustration)
•Make it personal - "You know how..."

Step 2: Your Solution

Introduce your AI solution as the natural answer to the problem. Keep it high-level.

Tips

•One sentence max
•Focus on outcome, not technology
•Use simple language

Step 3: The Demo

Show, don't tell. Walk through a real use case that proves your solution works.

Tips

•Use real (anonymized) data if possible
•Show the "aha moment" within 60 seconds
•Narrate what's happening and why it matters
•Have backup screenshots if live demo fails

Step 4: The Ask

End with a clear call to action. What do you want them to do next?

Tips

•Be specific about next steps
•Create urgency if genuine
•Offer a low-commitment option

Tailor Your Demo by Audience

Investors

Lead with market size and opportunity
Show traction and growth metrics
Highlight team credentials
Demo should prove technical differentiation
End with fundraise details and use of funds

Enterprise Customers

Focus on ROI and cost savings
Address security and compliance upfront
Show integration with their existing tools
Use industry-specific examples
Involve multiple stakeholders (technical + business)

Technical Teams

Go deeper on architecture and methodology
Show edge cases and how you handle them
Discuss accuracy metrics and benchmarks
Be ready for technical questions
Share API docs or playground access

Common Objections & Responses

"How is this different from ChatGPT/existing tools?"

Great question! While ChatGPT is general-purpose, we're specifically trained on [domain] data. Our model has [X]% better accuracy on [specific task] because we fine-tuned on [Y] real examples from [industry].

"What if the AI makes a mistake?"

Every AI system has limitations. We've built [human-in-the-loop/confidence scores/guardrails] to catch edge cases. In our pilot with [customer], we achieved [X]% accuracy, and humans reviewed the [Y]% uncertain cases.

"This seems expensive to run at scale."

Actually, our unit economics work out to [$X] per [transaction/query], compared to [$Y] with manual processes. At scale, our customers see [Z]x ROI within [timeframe].

"What about data privacy and security?"

We're [SOC2/GDPR/HIPAA] compliant. Your data is [encrypted/never leaves your cloud/processed on-prem]. We can deploy within your security perimeter if needed.

"We tried AI before and it didn't work."

I hear that a lot. Can I ask what you tried? Often the issue is [training data quality/integration complexity/unclear success metrics]. We address this by [specific approach].

Practice with real feedback

Join AGI House India demo nights to practice your pitch and get feedback from investors and founders.

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