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Deck Narrative

The story to tell. Slide by slide.


Pitch Flow

Total time: 5-7 minutes Slides: 12-15


Slide 1: Title

YeboOne chat. Everything done.

[Logo]


Slide 2: The Hook

"85% of African workers are in the informal economy. They have no Indeed, no Shopify, no Stripe. Just WhatsApp groups and hope."

Africa's economy is fragmented. Yebo unifies it.


Slide 3: The Problem (1 of 2)

Finding a job in Africa:

❌ No Indeed ❌ No LinkedIn ✅ 20 WhatsApp groups to check daily ✅ Copy-paste your CV 100 times ✅ Wait and pray

Same for selling, getting paid, learning...


Slide 4: The Problem (2 of 2)

Every economic action requires:

  • 5 different apps
  • Manual copy-paste
  • No trust layer
  • No payment protection
  • No intelligence

This is fixable.


Slide 5: The Insight

The West: Built infrastructure, then added AI Africa: Can leapfrog to AI-native infrastructure

  • Mobile money exists ✓
  • WhatsApp is universal ✓
  • Phone is identity ✓

The rails are there. Just need the intelligence.


Slide 6: The Solution

Yebo is an AI agent that participates in the economy on your behalf.

You: "Sell these shoes"

Agent:
→ Lists across marketplace
→ Finds buyer
→ Collects M-Pesa payment
→ Notifies you to ship
→ Releases funds on delivery

You: Wake up to money.

Slide 7: The Product Network

ProductWhat It DoesStatus
YeboShopsCommerceBuilding
YeboJobsJobs✅ Live
YeboLinkSMS/WhatsApp✅ Live
YeboSafeEscrowBuilding
YeboLearnLearningBuilding
EnezaWhatsApp Ads✅ Live

All connected. One agent.


Slide 8: How It Works (Demo)

[Show or describe the agent interaction]

  1. User drops photos
  2. AI creates listings
  3. Agent finds buyers
  4. Escrow protects transaction
  5. Mobile money for payment

Works on WhatsApp. Works on any phone.


Slide 9: The Agent Difference

Before YeboAfter Yebo
You check 20 WhatsApp groupsAgent searches 500+ jobs
You post on 5 platformsAgent lists everywhere
You chase paymentsAgent collects and reminds
You sleep, nothing happensAgent works 24/7

It's not an assistant. It's an employee.


Slide 10: Traction

  • 12,000+ users on Eneza
  • 4 products live
  • Revenue generating today
  • Built in Africa, for Africa

Not a pitch deck. Real products. Real users.


Slide 11: Market

  • 1.4B people
  • $46B e-commerce by 2025
  • 500M mobile money accounts
  • 60% under 25

Fastest growing digital economy. Totally underserved.


Slide 12: Business Model

ProductRevenue
YeboShops5-10% transaction fee
YeboJobsJob posting fees
YeboLinkPer-message
EnezaAd placement
YeboSafeEscrow fee + float

Multiple revenue streams. High margins.


Slide 13: Competition

Why nobody else is doing this:

PlayerTheir FocusGap
JumiaCommerce onlyNo AI, no informal
FlutterwaveB2B paymentsNo consumer
ChatGPTGeneral AINo transactions

Connected products + AI + African context = new.


Slide 14: The Ask

[Amount] to:

  1. Scale AI — Agent infrastructure
  2. Launch products — YeboID, YeboSafe, YeboShops
  3. Grow users — 12K → 1M

18-month runway to dominance.


Slide 15: Vision

In 10 years:

"How did people do business before Yebo?"

Yebo becomes Africa's economic operating system.


Appendix Slides

Keep ready for Q&A:

  • Technical architecture
  • Detailed financials
  • Team bios
  • Product roadmap
  • Mobile money integrations
  • Unit economics

Key Talking Points

Opening

"Africa has 1.4 billion people and no unified economic infrastructure. We're building it."

Problem

"Finding a job means checking 20 WhatsApp groups. Selling something means posting 5 places. No trust, no payments, no intelligence."

Solution

"Yebo is an AI that actually does things. It sells, applies, collects payments — while you sleep."

Traction

"We're not pitching an idea. 12,000 users, 4 products live, revenue today."

Ask

"[Amount] to scale the AI, launch remaining products, and grow to 1 million users."

Close

"In 10 years, people will ask: how did anyone do business in Africa before Yebo?"


Objection Handling

"Isn't this just another chatbot?"

No. ChatGPT talks. Yebo works. It's connected to real products that execute real transactions.

"Why will Africans trust an AI with money?"

They already trust M-Pesa. We're adding intelligence, not replacing trust.

"Can't big tech just do this?"

They could, but they haven't. Local knowledge, payment integration, informal economy understanding — can't be built from SF.

"How do you make money?"

Transaction fees, job postings, messaging fees, advertising. Multiple streams, all high-margin.

One chat. Everything done.