Free template 05 of 05 · for founders

The 3-minute investor demo: a script for AI products

An investor demo is not a product tour. In three minutes you have to make one person feel one problem, see the product solve it once, and believe it can become a business. Everything else — settings, the admin panel, your architecture — is noise. This script gives you the structure with timings, what to say and what to show, a worked example (CallNote, a fictional product — numbers are illustrative), and the preparation that keeps a live AI demo from going sideways.

All templates1 hour to write, 5 rehearsals6 segments + prep checklistPDF + Markdown
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Three rules

  1. One persona, one path. Pick the single journey that ends in your "magic moment" and cut everything else.
  2. Show, then tell. Each claim should land on screen within seconds of you saying it.
  3. Rehearse with a timer. Three minutes means three minutes. Most first drafts run six.

The script, second by second

0:00–0:20 Hook: the problem as a moment

Make them picture one person at one painful moment, with one number.

Say
It's 6 pm. [Persona] has just finished [situation] and now has to [painful task] — [number] minutes, every day.
Show
Nothing yet, or the "before" screen: the messy doc, the empty CRM, the spreadsheet.
Example
"It's 6 pm. Maya, an account executive, just finished her sixth sales call today. Now she has to type all six into HubSpot — 40 minutes she doesn't have. So she skips it, and her manager forecasts on stale data."

0:20–0:40 Who and why now

Size the pain and explain why this is possible or urgent now, not five years ago.

Say
[Number] people do this. It costs them [money/time]. Until [shift], it couldn't be automated reliably — now it can.
Show
Still the "before" screen, or one simple slide with two numbers.
Example
"Every B2B sales team has this problem — our design partners measured about 6 hours a week of CRM admin per rep. Transcription is solved — but turning a conversation into trustworthy, structured CRM fields only became reliable and cheap this year."

0:40–2:10 Live demo: one path to the magic moment

Before → the AI doing visible work → the user in control → the result landing where they already work.

Say
Narrate what the user sees and decides, not what the system does internally. Name the magic moment out loud when it happens.
Show
Realistic input (not "test 123"). The AI working with visible progress. The user reviewing and approving. The result in the tool they already use.
Example
"Maya ends the call. Thirty seconds later, CallNote has a proposed update: next step, new close date, two objections — each with the exact quote from the call. She fixes one field, approves, and… here it is in HubSpot. That's the moment: the CRM is updated before she's even opened it."

2:10–2:35 Proof

Show it works outside your laptop: usage, retention, a quote, or an eval number.

Say
One or two hard numbers and who they come from.
Show
A single proof slide or an analytics screen.
Example
"Three design-partner teams, 31 reps, 4 weeks: 68% of calls updated within an hour, 82% of suggested fields approved without edits. Two teams asked to pay before we'd sent a price."

2:35–2:50 Business

Who pays, how much, and why the margin holds as usage grows.

Say
Buyer, price, cost to serve, expansion path.
Show
Pricing line or a one-line unit economics slide.
Example
"Sales managers buy it: $39 per rep per month. AI costs us about $4 per rep per month at current usage. We land with one team and expand across the sales org."

2:50–3:00 Ask and close

State what you want from this meeting and repeat the one-liner.

Say
We're raising [amount] to [milestone]. [One-sentence product line again.]
Show
Final slide: logo, one-liner, contact.
Example
"We're raising $1.5M to get to 50 paying teams in 12 months. CallNote: your CRM, updated before you open it."

Your script

TimeSegmentWhat you sayWhat they see
0:00–0:20Hook  
0:20–0:40Who and why now  
0:40–2:10Live demo  
2:10–2:35Proof  
2:35–2:50Business  
2:50–3:00Ask and close  

Prep checklist for a live AI demo

Questions investors ask about AI products — prepare one-sentence answers

  1. "What happens when OpenAI (or Google, or Microsoft) ships this?" — your answer is workflow, data, distribution or trust, not the model.
  2. "What does each task cost you, and what happens at 10× usage?" — cost per task, margin, and your plan to keep it.
  3. "How do you know the output is good?" — your eval set, acceptance rate and how a bad answer is caught.
  4. "Whose data is it, and can you use it?" — permissions, privacy posture, what improves over time.
  5. "Why you?" — the unfair insight or access your team has.

Common mistakes

  • Touring every feature instead of finishing one path.
  • Explaining the architecture, the model or the prompt before showing the result.
  • Starting on a login screen, an empty dashboard or settings.
  • Apologizing for the UI or saying "this part is still rough".
  • Ending on a feature instead of the ask.

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